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Tesla Unveils FSD (Supervised) for Right-Hand Drive Featuring Melbourne Test Drive Footage

Vanessa May on May 18, 2025

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Quick Overview: Major Points

Tesla demonstrates FSD (Supervised) in a right-hand drive (RHD) Model 3 in Melbourne, Australia.
This represents the inaugural public exhibition of FSD in an RHD market, a significant achievement for Australian Tesla users.
The test vehicle adeptly navigated complex situations such as Melbourne’s renowned hook turns.
FSD (Supervised) necessitates human oversight and has not yet been authorized for unsupervised operation in Australia.
Competing automakers such as Waymo and Ford currently lack plans to introduce self-driving features in Australia.
FSD in Australia is presently priced at A$10,100, with subscription and trial options expected to follow soon.
Regulatory endorsement and wider customer accessibility are anticipated shortly.

Tesla Introduces FSD (Supervised) to Australia via RHD Melbourne Trial

Tesla FSD Supervised driving in Melbourne Australia

Tesla has officially rolled out its Full Self-Driving (FSD) software in a right-hand drive (RHD) car for the first time, utilizing Melbourne’s varied urban environment to display its capabilities. The demonstration involved a Tesla Model 3 fitted with Hardware 4 (HW4) and the ultimate FSD (Supervised) software, overseen by a safety operator.

The Importance of a Right-Hand Drive Display

Australian Tesla users have long awaited FSD functionalities while observing their gradual introduction in left-hand drive (LHD) regions such as the US, Canada, China, and Mexico. The transition to RHD markets like Australia signifies a crucial advancement in Tesla’s global self-driving aspirations.

The obstacle is in adjusting the AI to accurately grasp driving conventions in RHD settings, influencing aspects like lane positioning, turn signals, and traffic dynamics. Although Tesla has not clarified whether it crafted a distinct RHD-focused neural network or modified its existing infrastructure, the outcome is a fluid driving experience that captivated local spectators.

FSD Navigates Melbourne’s Hook Turns and Urban Challenges

In the demonstration footage, the Tesla begins its journey using the touchscreen interface, smoothly navigating through Melbourne’s challenging hook turn intersections—a genuine trial for any autonomous driving technology.

The vehicle also encounters various real-world urban driving factors, such as interactions with pedestrians, cyclists, parked cars, and fluctuating traffic. The drive ends by pulling up steadily in front of Crown Casino, suggesting future robotaxi possibilities.

FSD (Supervised): Implications for Australian Drivers

Tesla’s FSD (Supervised) is currently categorized as a hands-on system, which necessitates that the driver remains alert and in command at all times. As clearly articulated in Tesla’s disclaimer, this feature is in a testing phase and its deployment hinges on further enhancements and regulatory endorsement.

Even with supervision, this iteration of FSD illustrates Tesla’s proximity to realizing a functional autonomous system for public roadways—especially highlighted in a nation where self-driving options have been notably scarce.

Tesla’s Vision-Centric Strategy vs. HD Map-Dependent Rivals

In contrast to competitors like Waymo, General Motors’ Super Cruise, and Ford’s BlueCruise—which heavily depend on high-definition maps and pre-mapped geofencing—Tesla employs a vision-driven, neural network-based system. This technique enables Tesla to expand more swiftly into new regions, including Australia, without the necessity for extensive pre-mapping.

Tesla currently stands as the sole automaker offering an advanced driver-assist technology aimed at full autonomy, readily accessible for average consumers.

Job Listings Point to Local Expansion in Australia

Earlier this year, Tesla advertised positions for FSD test drivers in Sydney, marking the first public signal that FSD advancements were being tailored for Australia. These listings indicate on-ground internal testing, which has now culminated in this public display.

Pricing and Upcoming Availability

Currently, Tesla’s Full Self-Driving Capability in Australia is set at A$10,100. In other regions, Tesla has rolled out a monthly subscription model—beginning at about A$199/month—which may soon be available in Australia to enhance feature accessibility.

Tesla has also previously provided limited-time free trials of FSD in North America, and it seems likely that Australian users could expect similar trial offers as the technology edges closer to public introduction.

Conclusion

Tesla’s exhibition of FSD (Supervised) in Melbourne marks a historic occasion for autonomous vehicle technology in Australia. With a right-hand drive Model 3 skillfully navigating complex urban settings like Melbourne’s CBD, it’s evident that Tesla is dedicated to bringing its self-driving innovations to Australian roads. While the technology remains under supervision and awaiting regulatory endorsement, this showcase positions Tesla well ahead of its competitors in the local landscape. As pricing, trials, and subscription options develop, Australian Tesla owners may soon get a taste of the future of driving.

Q: What is FSD (Supervised) and how does it differ from FSD Beta in the US?

A:

FSD (Supervised) is Tesla’s most recent version of its Full Self-Driving system, requiring the driver to stay attentive and in control throughout. Unlike earlier iterations like FSD Beta in the US, which were occasionally unsupervised under certain conditions and had limited access, FSD (Supervised) is designed as a safety-focused, globally scalable iteration fit for new markets like Australia.

Q: Is FSD (Supervised) available to Australian Tesla owners at this time?

A:

Not yet. The video demonstration was part of a prototype testing phase. Although it indicates that Tesla is nearing local rollout, FSD (Supervised) remains under further development and awaits regulatory approval in Australia.

Q: What is the cost of FSD in Australia?

A:

At this moment, Tesla’s Full Self-Driving Capability is priced at A$10,100. A subscription model and potentially free trials could be offered following the public release of the feature.

Q: How does Tesla’s approach differ from other self-driving technologies?

A:

Tesla depends solely on a vision-focused AI system utilizing cameras and neural networks, while competitors such as Waymo depend on HD maps and LiDAR technology. This enables Tesla to scale its solutions more flexibly across various regions, including RHD markets like Australia.

Q: Is FSD capable of managing intricate Australian driving scenarios?

A:

According to the Melbourne demonstration, FSD (Supervised) effectively maneuvered through complicated road scenarios including Melbourne’s distinctive hook turns, pedestrian-rich areas, and urban traffic—demonstrating a robust localization of its driving capabilities.

Q: When will FSD (Supervised) be accessible to the public in Australia?

A:

While no official date has been specified, Tesla generally follows demonstrations with a limited Early Access Program. Depending on regulatory green lights, broader customer availability might occur within a few months.

Q: Are there alternative autonomous vehicle options found in Australia?

A:

At present, Tesla remains the only manufacturer actively developing and preparing to introduce an autonomous driving technology for consumer vehicles in Australia. Other manufacturers, such as Ford and GM, do not yet have offerings available locally.

Q: Will a subscription model for FSD be introduced in Australia?

A:

Although it has not been officially confirmed, Tesla has rolled out subscription pricing in other markets, and it’s anticipated that Australia will follow suit, providing owners with an economical means to access FSD features without an upfront cost.

Tyro Payments Seeks New Chief Information Security Officer

Matthew Miller on May 17, 2025

Brief Overview

Tyro Payments is in the process of hiring a new Chief Information Security Officer (CISO) after Manasseh Paradesi’s exit.
The incoming CISO will answer to Chief Risk Officer Steven Chapman and will manage the company’s comprehensive cybersecurity initiatives.
Main duties involve ensuring adherence to Australian regulatory requirements and protecting confidential data and systems.
Paradesi has resigned after a two-year period, previously holding positions at Omniscient Neurotechnology, AGL, Cover-More Group, and GE Energy Connections.
This decision comes as the regulatory and cyber threat environment in Australia’s fintech industry intensifies.

Tyro Payments is searching for a new Chief Information Security Officer

Leadership Shift at Tyro Payments

Listed on the ASX, Tyro Payments is actively searching for a new Chief Information Security Officer (CISO) following the announcement of Manasseh Paradesi’s resignation. The organization has already begun its recruitment effort to find an appropriate successor.

The new CISO will report to Chief Risk Officer Steven Chapman and will be responsible for overseeing Tyro’s information security infrastructure. This includes putting key cybersecurity protocols in place to secure customer information, financial systems, and stakeholder confidence.

Significance of This Change

As cyberattacks on financial sectors grow more sophisticated, the importance of a CISO is greater than ever. For Tyro Payments, which caters to over 68,000 Australian businesses with EFTPOS and banking solutions, upholding strong cybersecurity measures is essential.

Recent statistics from the Australian Cyber Security Centre (ACSC) indicate that the financial industry continues to be one of the most targeted sectors for cybercrime. The average financial impact of a cyberattack on medium-sized businesses in Australia has escalated to over $88,000 per incident.

This leadership shift arrives amid increasing regulatory oversight. Financial entities are required to comply with standards such as APRA CPS 234, which demands strict compliance with information security governance and incident response strategies.

New CISO Responsibilities

As detailed in the LinkedIn job post, the new CISO at Tyro will be accountable for:

Creating and implementing a unified information security plan.
Ensuring adherence to both local and international regulatory demands.
Overseeing the integration of advanced cybersecurity solutions.
Working with internal teams to carry out risk evaluations and audits.
Managing security incidents and breaches effectively.

The position will also require leading a team of cybersecurity experts and collaborating with Tyro’s executive leadership to foster a security-centric culture.

Overview of Manasseh Paradesi’s Tenure and Experience

Manasseh Paradesi joined Tyro Payments in 2021, bringing a wealth of knowledge from the cybersecurity and risk management fields. Before his time at Tyro, he was the CISO at Omniscient Neurotechnology, a medical device company utilizing AI to map brain function.

Paradesi’s previous roles include senior security positions at prominent organizations like Cover-More Group, energy company AGL, and GE Energy Connections. His departure marks the beginning of a new era for Tyro as it aims to align its security strategy with ongoing threats and business goals.

Cybersecurity Challenges in Australia’s Fintech Sector

The fintech landscape in Australia is rapidly expanding, bringing with it increased exposure to cyber dangers. From ransomware incidents to phishing attacks, companies like Tyro must constantly fend off threats that can compromise customer confidence and financial security.

As reported by TechBest, Australian fintechs are investing significantly in cybersecurity, with over 70% planning to boost their security budgets in 2024. Appointing a strong, forward-thinking CISO is not only a regulatory requirement but also a competitive edge.

Conclusion

Tyro Payments is experiencing a pivotal leadership transition as it searches for a new Chief Information Security Officer to navigate the increasingly intricate cybersecurity terrain. With the departure of Manasseh Paradesi, the new CISO will play a crucial role in protecting the firm’s digital infrastructure, ensuring regulatory compliance, and maintaining customer trust in one of Australia’s leading fintech companies. This recruitment process unfolds amid escalating threats and growing regulatory responsibilities.

Q: Why is Tyro Payments in need of a new CISO?

A:

Tyro Payments is looking for a new CISO to take over from Manasseh Paradesi, who is leaving after over two years in the position. The firm wishes to enhance its cybersecurity and compliance framework in light of increasing threats and regulatory demands.

Q: What responsibilities will the new CISO at Tyro hold?

A:

The new CISO will supervise Tyro’s complete information security framework, incorporating policy formulation, risk management, incident response, and adherence to regulations like APRA CPS 234.

Q: Who will the new CISO report to at Tyro?

A:

The CISO will report directly to Tyro’s Chief Risk Officer, Steven Chapman, underscoring the strategic importance of this role within the organization.

Q: What are the major cybersecurity risks faced by Tyro and other fintechs in Australia?

A:

Fintech companies like Tyro contend with risks such as ransomware, data breaches, phishing, and supply chain attacks. The ACSC notes a rise in incidents targeting financial entities, highlighting the urgent need for robust security strategies.

Q: What background did Manasseh Paradesi contribute to Tyro?

A:

Paradesi contributed significant experience from his prior roles at Omniscient Neurotechnology, Cover-More Group, AGL, and GE Energy Connections. His expertise covers both private sector and essential infrastructure cybersecurity.

Q: How will this transition impact Tyro’s clientele?

A:

The transition is anticipated to proceed smoothly, with Tyro reaffirming its dedication to providing secure and dependable financial services. The company is actively seeking a successor to maintain its cybersecurity standards.

Q: Where can potential candidates apply for the CISO position?

A:

Qualified candidates can apply for the role through LinkedIn or Tyro’s careers site. The job listing is publicly available and details the required qualifications and responsibilities.

Soundcore Space A40 Earbuds Review

Matthew Miller on May 17, 2025

soundcore by Anker Space A40 Adaptive Active Noise Cancelling Wireless Earbuds, Reduce Noise by Up to 98%, Ultra Long 50H Playtime, 10H Single Playtime, Hi-Res Sound, Comfortable Fit, Wireless Charge

Tesla’s Vision-Only Autopilot Wows as It Navigates 12-Lane Roundabout and Grows into France

Nicholas Webb on May 17, 2025

Rapid Overview

Tesla highlights its Vision-Only FSD (Supervised) Autopilot technology in Melbourne, Australia, and Paris, France.
The technology adeptly maneuvers through the 12-lane Arc de Triomphe roundabout in Paris without relying on lidar or radar.
Tesla’s methodology depends exclusively on cameras and sophisticated machine learning, thus lowering hardware expenditures.
This generalized framework allows for quicker worldwide scaling compared to rivals such as Waymo and Baidu.
FSD (Supervised) is now operational in seven nations, including Australia, the inaugural right-hand drive market.
This achievement sets the stage for entry into other RHD markets such as the UK, India, and Japan.
Regulatory consent remains the primary obstacle to the widespread launch of unsupervised autonomous rides.

Tesla’s Vision-Only Autonomy Confronts Global Issues

Tesla has once more captured attention in the self-driving arena by showcasing its Full Self-Driving (FSD) Supervised system as it handles intricate urban environments in both Melbourne, Australia, and Paris, France. The most notable feat involved Tesla’s FSD autonomously navigating the hectic 12-lane roundabout at the Arc de Triomphe — a location notorious for its absent lane markings and erratic vehicle movements.

Unlike competitors such as Waymo and Zoox that utilize a blend of cameras, lidar, radar, and high-definition maps, Tesla has opted for a daring method by deploying only camera-based vision and neural network computation. This streamlined hardware approach, although technically demanding, greatly diminishes production and vehicle integration costs.

Tesla FSD successfully navigates Paris' 12-lane roundabout using vision-only system

Expanding Autonomy Without Detailed Maps

A key advantage for Tesla is its capacity for rapid scalability in international markets. The FSD system does not depend on intricate pre-mapped locales, which can be expensive and labor-intensive to develop. Instead, Tesla leverages its extensive fleet of vehicles to gather real-world driving data, continuously training its AI models to seamlessly adjust to various road conditions, signage, and traffic behaviors.

This strategy permits Tesla to implement its autonomous technology far more swiftly than its competitors. For example, Waymo’s robotaxi service in Phoenix, Arizona, has been operational for several years yet remains confined to a limited number of cities due to its reliance on exhaustive mapping and localization updates.

Global Presence: FSD Supervised Now Active in Seven Nations

With the inclusion of Australia and France, Tesla’s FSD (Supervised) is now functioning in:

United States
Canada
Mexico
Puerto Rico
China
Australia
France

This growth is vital not only geographically but also concerning regulatory intricacies. Each country has distinct traffic regulations, signage norms, and road configurations. Tesla’s neural net-focused methodology seems competent in adjusting with minimal revisions, rather than necessitating a complete overhaul for each market.

Right-Hand Drive Markets Are Next

The successful implementation of FSD in Australia signifies Tesla’s initial venture into right-hand drive (RHD) autonomous functionality. This opens avenues to prominent RHD markets, including:

United Kingdom
India
Japan
New Zealand
Hong Kong

Each of these regions holds the potential to reap benefits from Tesla’s cost-effective hardware framework and rapidly developing software capabilities. The ability to deploy at scale without retrofit expenses provides Tesla a financial advantage in these markets.

Vision-Only: A Successful Gamble

In 2021, Tesla garnered attention by eliminating radar from its vehicles, fully embracing a “vision-only” approach. At that moment, skeptics doubted whether camera-based systems could rival the dependability of lidar or radar in adverse weather or low visibility conditions. Nonetheless, Tesla’s advancements indicate that with sufficient data and machine learning capabilities, visual perception by itself can tackle even the most daunting driving challenges.

As per Tesla CEO Elon Musk, the firm aims to achieve unsupervised autonomy — where vehicles can operate independently of human oversight. Although FSD (Supervised) still necessitates driver vigilance, the latest demonstrations suggest that a launch of unsupervised FSD may be on the horizon.

Obstacles Ahead: Regulation and Market Preparedness

Despite its technological might, Tesla encounters a major regulatory hurdle. Unlike software development, the automotive industry is heavily intertwined with public safety priorities and legal accountability. For Tesla to initiate a commercial robotaxi service, it must comply with both national and regional regulatory structures — a task that can be slow and laden with political challenges.

Waymo presently leads in the commercial robotaxi sector with over 250,000 paid trips per week in the U.S., but Tesla is rapidly closing the gap. Once Tesla secures authorization for unsupervised operation, it could expand significantly faster due to its streamlined hardware and established global vehicle fleet.

Conclusion

Tesla’s recent FSD (Supervised) displays in Melbourne and Paris signify a significant advancement in vision-only autonomous driving. Successfully navigating a 12-lane roundabout without the use of radar or lidar, Tesla demonstrates its capability to manage real-world complexities through a more efficient and scalable system. With operations now active in seven nations — including its first foray into a right-hand drive market — Tesla is poised for further global expansion. Although regulatory challenges persist, the technological advancements and cost benefits of Tesla’s method may soon provide it a competitive edge in the pursuit of full autonomy.

Q: What is Tesla’s FSD (Supervised) system?

A:

FSD (Supervised) is Tesla’s current advanced driver-assistance technology that relies solely on cameras and neural networks for road navigation. While the system can autonomously make driving decisions, a human operator is still required to stay engaged and oversee the vehicle.

Q: How does Tesla’s strategy differ from competitors like Waymo?

A:

Unlike Waymo and others that incorporate lidar, radar, and detailed 3D mapping, Tesla’s system is based exclusively on camera vision and machine learning. This reduces hardware expenses and facilitates quicker deployment in new regions without the necessity of pre-mapping every road.

Q: Why is the demonstration at the Arc de Triomphe important?

A:

The Arc de Triomphe roundabout in Paris represents one of the most tumultuous intersections globally, marked by a lack of defined lanes and heavy traffic. Tesla’s FSD system successfully traversing this area illustrates its capability to tackle complex real-world driving situations using camera vision solely.

Q: Is Tesla’s FSD operational in Australia?

A:

Yes, Tesla has now shown that its FSD (Supervised) system is functional in Australia, representing the first instance of its operation in a right-hand drive market.

Q: What RHD markets are anticipated to follow Australia?

A:

India, the UK, Japan, New Zealand, and Hong Kong are all strong candidates for future FSD implementation, given that Tesla has validated its system’s effectiveness in RHD traffic situations.

Q: When will Tesla introduce an unsupervised autonomous system?

A:

While no specific date has been disclosed, Tesla suggests that unsupervised FSD is under development. The current performance of FSD (Supervised) indicates that it may be drawing closer to reality, subject to regulatory approval.

Q: What are the primary obstacles to achieving full autonomy?

A:

The most significant challenges are regulatory in nature. Governments must authorize self-driving technologies for public implementation, ensuring compliance with safety standards. Legal and

Safeguarding Your Information in the Era of AI: Essential Insights for Every Aussie

Matthew Miller on May 17, 2025

Brief Overview

In 2024, 95% of companies experienced difficulties when implementing AI, largely due to issues related to data preparedness and concerns surrounding security.
Australia and New Zealand are enhancing their privacy legislation, which includes tougher breach reporting requirements and increased penalties.
Data breaches are escalating in ANZ, with 527 incidents documented in the first half of 2024 alone.
Effective Data Security Posture Management (DSPM) is vital for protecting against cyber threats in AI-enabled environments.
Automation and data governance are critical for scaling security measures and boosting operational productivity.
New AI-driven positions and policies are emerging to address changing threats and ensure compliance.

Data Protection Strategies in the Era of AI for Australians

The Essential Connection Between Data Security and Information Management

With the rapid increase in AI integration across sectors, organisations are becoming more reliant on systems governed by data. Nonetheless, initiatives can struggle without robust data management practices in place. According to Forrester, companies in the Asia Pacific with strong information management strategies are 1.5 times more inclined to succeed in AI endeavors.

This aspect is especially significant in Australia and New Zealand, where regulators are intensifying their scrutiny of data privacy infringements. The Office of the Australian Information Commissioner (OAIC) alongside the Australian Cyber Security Centre (ACSC) revealed 527 data breaches in only the first six months of 2024, marking the highest figure in over three years. Malicious attacks comprised 67% of these occurrences, illustrating that cybercriminals are capitalizing on trends in digital transformation.

Privacy Law Amendments in Australia

Penalties for significant privacy violations can now go up to 10% of yearly revenue.
Definitions of personal data now encompass technical identifiers such as IP addresses.
Consent protocols have become stricter, requiring explicit approval from users in a timely manner.
Individuals are granted broader rights to access, amend, and erase their personal data.
Notification of breaches is mandatory within stricter deadlines.
‘Privacy by design’ is now a requisite from the inception of all systems and processes.

New Zealand’s Strengthened Privacy Regulations

Tighter international data transfer regulations are now instituted.
The Privacy Commissioner has been endowed with extended powers.
Formal risk assessments are required for high-risk data processing activities.
Organisations are obliged to keep meticulous records pertaining to data management.

In light of these updates, organisations in ANZ are reassessing their data strategies to assure compliance with regulations and lessen vulnerability to cyber threats.

Managing Data Sensitivity in AI Frameworks

AI technologies depend on data, yet risks significantly increase when that data contains personal, medical, or proprietary information. The 2024 data breach at MediSecure, affecting nearly 50% of Australia’s populace, emphasizes the severe repercussions that inadequate data security can lead to, particularly within sectors like healthcare where continuity of service is crucial.

To alleviate these dangers, organisations should implement Data Security Posture Management (DSPM) to:

Recognize and categorize sensitive data throughout all environments.
Employ controls commensurate with data sensitivity levels.
Track usage patterns and identify unusual behaviors.
Ensure adherence to privacy statutes.
Automate responses to threats related to data security.

New Security Positions and Continuous Engagement

The emergence of AI has given rise to new security roles dedicated to AI-specific risks. These specialists assess vulnerabilities in AI frameworks, establish customized security measures, and coordinate responses to incidents.

Organisations are also fostering an environment of ongoing discussions about security, where risk tolerance levels are established, resources are reallocated as necessary, and compliance efforts are consistently evaluated. This thoughtful strategy guarantees that AI adoption corresponds with both business and security objectives.

Automating Data Security for Enhanced Scalability and Effectiveness

Traditional methods of data protection are unable to keep pace with the scale and intricacy of contemporary data. Automation has shifted from being optional to essential.

According to reports from Cybersecurity Ventures, there has been a 35% increase in the adoption of sophisticated threat detection tools, while Gartner projects that by 2025, 70% of enterprises will have integrated AI-driven threat intelligence systems.

Key automated capabilities encompass:

Risk evaluations to oversee access and permissions.
Heatmaps that pinpoint high-risk areas for data exposure.
Instant alerts designed to thwart and address threats.

These technologies enable security teams to focus on strategic initiatives, enhancing efficiency while boosting resilience against threats.

Boosting Data Security Through Quality Management and Governance

AI systems depend on superior data quality to generate precise insights. Poor data quality can not only detract from results but also elevate security risks. Gartner estimates that subpar data may cost companies about A$21 million yearly.

To maintain both data quality and security, organisations should:

Utilize automated solutions to identify outdated or inconsequential content.
Establish robust data governance frameworks.
Create metadata systems for enhanced data tracking.
Develop policies for the lifecycle management of outdated data, such as archiving or deletion.

When implemented alongside AI systems, these governance strategies minimize potential attack vectors and assure adherence to developing regulations.

A Holistic Strategy for AI Data Security

As AI becomes increasingly ingrained within business functions, the associated data security risks are bound to escalate. A comprehensive strategy—addressing data governance, risk management, and automation—is pivotal for achieving success.

Entities that invest in proactive data security measures not only adhere to compliance standards but also secure a competitive advantage in responsibly and effectively implementing AI.

Learn how recommended solutions such as AvePoint’s AI Security and Confidence platform can aid your organisation in protecting sensitive data while unlocking the full potential of AI.

For additional information, visit AvePoint’s AI Security and Confidence Solutions.

Conclusion

The safeguarding of data in the age of artificial intelligence is a pressing issue for organisations in Australia and New Zealand. With stricter privacy regulations and increasingly sophisticated cyber threats, businesses are compelled to adopt a proactive and strategic framework to protect their information resources. This includes establishing DSPM, automating threat identification, and enhancing data governance. Such initiatives ensure that organisations remain compliant, resilient, and prepared to safely leverage AI technology.

Q: Why does AI elevate data security risks?

A:

AI systems necessitate large volumes of data, much of which is sensitive. This makes them prime targets for cybercriminals. Furthermore, attackers can leverage AI tools to identify and exploit vulnerabilities at a pace that outstrips traditional techniques.

Q: What constitutes Data Security Posture Management (DSPM)?

A:

DSPM represents a proactive methodology for protecting and managing sensitive data. It entails locating where data is held, classifying its sensitivity, implementing security protocols, supervising access, and automating responses to threats.

Q: How are Australia and New Zealand revising their privacy regulations?

A:

Both

Galaxy Buds 3 Review

Matthew Miller on May 17, 2025

SAMSUNG Galaxy Buds 3 AI True Wireless Bluetooth Earbuds, Sound Optimization, Real Time Interpreter, Noise Cancellation, Redesigned Fit, Touch Control, Latin American Version (Silver)

Safeguarding Your Information in the Era of AI: Essential Insights for Every Australian

Vanessa May on May 16, 2025

Quick Summary: Important Insights

In 2024, 95% of organizations encountered challenges with AI integration, primarily due to issues related to data readiness and security.
Australia and New Zealand have introduced new privacy laws enforcing more stringent data protection measures.
Data breaches soared to unprecedented numbers in early 2024, with 67% resulting from malicious or criminal acts.
Implementing Data Security Posture Management (DSPM) is crucial for discovering and safeguarding sensitive information.
Ensuring AI safety necessitates automation, governance, and ongoing monitoring to counteract emerging risks.
Business leaders should identify data security as a strategic investment rather than merely a compliance task.
Subpar data quality can lead to substantial financial losses and hinder AI performance.

AI challenges in data protection and privacy risks for Australian organisations

The Vital Connection Between Data Security and Information Management

As artificial intelligence (AI) becomes integral to business innovation in Australia and New Zealand (ANZ), ensuring data security is imperative—not optional. Forrester reports that 60% of Asia Pacific firms are localizing AI models to align with local demands, thereby heightening the sensitivity and intricacy of data management.

Firms with sophisticated information management systems are 1.5 times more likely to secure early successes with AI. Effective data management encompasses not only the storage and retrieval of information but also compliance with laws such as Australia’s Privacy Act 1988 and APRA regulations. Recent data from the Office of the Australian Information Commissioner (OAIC) and the Australian Cyber Security Centre (ACSC) indicated 527 breaches in merely six months, with 67% caused by malicious or criminal entities.

Significant Legislative Changes

Penalties of up to 10% of annual revenue for severe violations
Personal data now encompasses technical information and identifiers
Tighter consent protocols and improved user rights
Required breach notifications with expedited timelines
Privacy-by-design mandates for all digital platforms

Understanding Data Sensitivity in AI Contexts

AI technologies rely heavily on data—but they can also pose risks. The 2024 MediSecure breach, which impacted nearly half of Australia’s populace, underscored the tangible impacts of inadequate data safeguarding in an AI-driven environment. Healthcare providers are especially exposed due to the essential nature of their services and the sensitive data involved.

Organizations must adapt their strategies to incorporate Data Security Posture Management (DSPM), which enables them to:

Identify and categorize sensitive data no matter its location
Implement tiered security measures based on risk assessments
Spot unusual access patterns and potential threats
Ensure compliance with legal standards
Automate responses to data security threats

Evolving Security Roles and Continuous Discussion

The AI surge has generated a new category of security professionals focusing on AI-specific vulnerabilities and data exposure threats. These roles are essential for maintaining a robust security stance in the face of changing risks. Security leaders should consistently monitor, evaluate, and refine their organization’s security framework by:

Assessing vulnerabilities within AI systems
Crafting specialized AI security policies
Working across departments to align business and security goals
Promoting security awareness in the organizational culture

Automating Data Security for Growth and Effectiveness

The immense volume of data generated in AI environments renders manual security measures outdated. Automation has become essential. Cybersecurity Ventures reports a 35% rise in the application of advanced threat detection tools, and Gartner predicts that by 2025, 70% of organizations will implement AI-driven threat intelligence systems.

Automation empowers organizations to:

Map sensitive data and evaluate risk exposure
Consolidate and prioritize at-risk information
Create visual assessments of vulnerable data assets
Redirect security teams toward strategic responsibilities rather than reactionary monitoring

Improving Data Security via Quality and Governance

AI systems function optimally only when powered by reliable data. Poor data quality introduces errors and heightens security risks. Gartner estimates that poor data costs organizations approximately AU$21 million annually, with 30% attributed to security-related expenses.

To alleviate these risks, organizations should:

Implement automated data quality assessments
Establish data governance frameworks
Enforce organized metadata management
Adopt lifecycle management strategies that include timely data archiving or deletion

A Holistic Strategy for AI Data Security

In an era where AI revolutionizes business operations, data security must advance accordingly. The synergy of proactive information management, automated security measures, and compliance with legal standards establishes a robust foundation for secure AI adoption.

For ANZ organizations, the way forward involves strategic investment, continuous education, and cross-department collaboration to guarantee that innovation does not compromise security.

Discover how AvePoint’s AI Security and Confidence solutions can aid your organization in implementing thorough data protection strategies that foster AI-driven progress. Visit AvePoint’s AI Security and Confidence Solutions.

Conclusion

AI offers exceptional prospects for ANZ firms but also brings substantial risks, particularly regarding data security. New legal frameworks, escalating cyber threats, and vast data volumes necessitate a modern strategy for data lifecycle management. By utilizing DSPM, automation, and governance, organizations can ensure that their AI projects are secure, compliant, and effective.

Q: What makes AI implementation difficult for Australian organizations?

A:

Implementing AI is challenging due to obstacles related to data readiness, information security, and compliance with changing privacy regulations. Most organizations lack the necessary infrastructure and governance to securely manage AI-compatible data.

Q: What is DSPM and its significance?

A:

Data Security Posture Management (DSPM) supplies real-time visibility regarding sensitive data’s location, accessibility, and usage. It enables organizations to proactively address potential risks before they escalate into breaches.

Q: What key alterations have been made to the Australian Privacy Act?

A:

Significant revisions include increased penalties for breaches, broader definitions of personal data, stricter consent provisions, and compulsory, expedited breach notifications. Additionally, it introduces a ‘privacy by design’ criterion for all systems.

Q: How does automation enhance data security?

A:

Automation allows for quicker threat detection, minimizes human error, and enables security teams to concentrate on strategic tasks. Systems can continuously monitor data access trends and address threats in real-time.

Q: In what ways can poor data quality impact AI systems?

A:

Outdated or inaccurate data can result in flawed AI outcomes.

Edifier X2s True Wireless Earbuds Review

Matthew Miller on May 16, 2025

Edifier X2s True Wireless Earbuds, Bluetooth 5.3, 13mm Dynamic Drivers, Deep Bass, Lightweight, AI Environmental Noise Cancelling, Custom Sound, IP54 Water Dust Resistant, Black

Huawei Launches WATCH FIT 4 Series: A Feature-Rich Smartwatch with 10-Day Battery Life

David Leane on May 16, 2025

Quick Overview: Main Points

Huawei introduces the WATCH FIT 4 Pro and WATCH FIT 4 in Australia, with prices starting at A$299.
The WATCH FIT 4 Pro features a remarkable 10-day battery longevity, a 3000-nit AMOLED display, and a high-quality design.
Outstanding functionalities comprise GPS tracking, diving capabilities up to 40m, and access to over 1,350 golf course maps in Australia.
The WATCH FIT 4 presents a lighter, budget-friendly alternative with comprehensive fitness and aquatic activity monitoring.
Both versions incorporate Huawei’s TruSense System for monitoring heart rate, SpO2 levels, and menstrual cycles.
Pre-orders start on May 16, 2025, with potential gift card bonuses up to A$100.
Available for purchase from May 28, 2025, at Amazon and JB Hi-Fi.

Huawei WATCH FIT 4 Series Arrives in Australia with a Focus on Fitness and Adventure

Huawei WATCH FIT 4 Pro smartwatch featuring a 10-day battery life and outdoor fitness tracking

Premium Wearables Tailored for Australian Lifestyles

WATCH FIT 4 Pro: Engineered for Excellence and Excitement

The HUAWEI WATCH FIT 4 Pro stands as the premier model of the series, designed for Australians who expect top-notch performance from their devices. Its refined titanium alloy bezel, aluminum body, and sapphire glass display make this smartwatch resilient enough for challenging environments, whether trekking in the Blue Mountains or diving off Queensland’s shores.

Outstanding Battery Performance

A key attribute is the impressive 10-day battery life, allowing you to remain unplugged and active for extended periods. It supports both iOS and Android systems, ensuring smooth integration into your digital ecosystem.

Dynamic AMOLED Screen

The 1.82-inch AMOLED display achieves a remarkable brightness of 3,000 nits—ideal for visibility under the intense Australian sun, whether you’re relaxing on the beach or biking through the countryside.

Precision Features for Outdoor Lovers

Golf Mode: Gain access to over 15,000 golf courses worldwide, including 1,350 in Australia. The watch monitors distances and wind conditions to enhance your performance.
Diving Features: Capable of free dives up to 40 metres, with immediate safety alerts and training functionalities like static apnea exercises.
Advanced Navigation: Hikers and trail enthusiasts will appreciate the Sunflower Positioning System, which provides 30% higher GPS accuracy and offline contour maps for exploring remote areas.

WATCH FIT 4: Lightweight and Cost-Effective

Compact but Powerful

At only 27 grams, the base model WATCH FIT 4 delivers an enhanced fitness experience. With its sleek design and affordable price, it’s a great choice for those new to wearables or individuals looking for an elegant fitness tracker.

Personalized Workouts

The device provides instant access to a variety of guided workouts, making it a practical companion whether you’re at the gym, exercising at a park, or working out at home.

Aquatic Activity Tracking

Perfect for water activity enthusiasts, the WATCH FIT 4 tracks seven water sports, including surfing, kayaking, paddleboarding, and rowing—a fantastic choice for coastal residents or holiday visitors.

Real-Time Elevation Tracking

With updated barometric tracking, users can monitor elevation fluctuations in real time—ideal for bushwalking, mountainous treks, and climbers exploring Australia’s diverse landscapes.

Enhanced Health Monitoring with TruSense

All-Inclusive Wellness Tracking

Both models come equipped with Huawei’s advanced TruSense System, delivering a comprehensive range of health monitoring features. From heart rate to SpO2 levels, users receive precise, real-time insights on their health.

On-Wrist Health Analysis

The Pro model provides health insights right on your wrist, enabling you to track trends and receive guidance without needing to check your phone.

Features for Women’s Health

The updated Menstrual Cycle Management feature offers predictive tracking, symptom management, and hormonal pattern analysis. It’s an essential tool for female users looking to gain deeper insights into their health information.

Pricing and Availability Details

The HUAWEI WATCH FIT 4 Pro comes in Black and Blue with a fluoroelastomer strap, or Green with a quick-dry woven nylon strap. The WATCH FIT 4 is available in Black, Purple, and White (with a fluoroelastomer strap), and Grey (with a woven strap).

Prices in Australia start from A$299. Pre-orders open on May 16, 2025, with bonus gift cards worth up to A$100. The smartwatches will be available in-store and online starting May 28, 2025, at Amazon and JB Hi-Fi.

Conclusion

Huawei’s WATCH FIT 4 Series represents a significant advancement in smartwatch technology, combining premium aesthetics with cutting-edge tracking capabilities, all at a reasonable price point. Whether you’re a serious adventurer or a fitness casual, there’s an option within this range for everyone. With sturdy build quality, extended battery life, and comprehensive wellness features, these wearables are ideal for Australia’s varied lifestyles.

Q: How does the Huawei WATCH FIT 4 Pro differ from the previous model?

A:

The WATCH FIT 4 Pro offers an improved 1.82-inch AMOLED screen with 3,000 nits brightness, a more durable titanium alloy construction, and enhanced sports functionalities such as superior GPS tracking and diving statistics. Additionally, it introduces on-wrist health insights for the first time.

Q: Will the WATCH FIT 4 Series work with my smartphone?

A:

Yes, both the Pro and standard versions are compatible with Android and iOS devices, providing extensive accessibility for users across different platforms.

Q: Can I use the WATCH FIT 4 Pro for diving activities?

A:

Yes, indeed. The Pro model allows for free diving up to 40 metres and features real-time safety notifications and training functionalities like static apnea drills, making it perfect for recreational divers.

Q: What health monitoring capabilities do these models offer?

A:

Both versions include continuous heart rate monitoring, SpO2 tracking, sleep analysis, and an enhanced menstrual cycle tracking feature. The Pro model also provides health insights directly on the watch display.

Q: How long does the battery last on a single charge?

A:

The WATCH FIT 4 Pro can last up to 10 days on a single charge, while the standard WATCH FIT 4 also offers several days of usability, depending on how it’s used.

Q: Are there any benefits for pre-ordering?

A:

Yes, pre-orders opening on May 16, 2025, come with bonus gift cards up to A$100, based on the model and retailer.

Q: Where can I purchase the Huawei WATCH FIT 4 Series in Australia?

A:

The watches will be on sale starting May 28, 2025, at Amazon Australia and JB Hi-Fi, both in physical stores and online.

ElectraNet Enhances Emphasis on Intelligent Information Management Systems

Vanessa May on May 16, 2025

ElectraNet Revamps Information Management with OpenText Integration | TechBest

ElectraNet enhances data management with OpenText platform

Quick Overview

ElectraNet is introducing a centralised information platform using OpenText throughout the entire company.
This initiative helps meet compliance requirements under Australia’s SOCI Act.
More than 800,000 data items have been successfully migrated so far, with additional items in the process.
Integration with Microsoft 365 allows for smooth co-authoring and collaboration.
Future enhancements will include OpenText Mobile, version 24.4, and connections with SAP and SuccessFactors.
ElectraNet is evaluating OpenText’s AI solution, Aviator, to enhance data governance and intelligence.

ElectraNet’s Digital Transformation for Improved Information Governance

The South Australian electricity transmission operator, ElectraNet, has embarked on a significant journey to innovate its information management systems. The company is implementing an all-encompassing OpenText-based enterprise content management (ECM) solution to create a “single source of truth” across its operations. This transition represents a major shift from its previously disjointed data environment, where vital information was scattered across SharePoint, local servers, and personal OneDrives.

Towards Integration from Fragmentation

Upon joining ElectraNet, information management leader Sharon Schumacher observed that there were inadequate frameworks for handling decades of accumulated data. Acknowledging the risks and inefficiencies tied to isolated information, Schumacher led the initiative for reconfiguration and the enterprise-wide rollout of OpenText Extended ECM.

“We’ve accumulated decades of information that required management and centralisation to form a single source of truth,” Schumacher stated. This strategic direction guarantees that data, documents, and informational assets are effectively managed across different business units.

Improved User Experience and System Connectivity

To promote widespread acceptance, ElectraNet has customised OpenText to provide a more efficient user experience. Users benefit from the enterprise connect desktop application and robust integration with Microsoft 365, facilitating real-time co-authoring and collaborative workflows.

This integration not only boosts productivity but also ensures that content accessed from any location—whether in-office, remote, or field—is up-to-date and coherent.

Extensive Data Migration Process in Progress

Since May of the previous year, various departments within ElectraNet have been charged with cleaning and migrating their respective data. With nearly 800,000 information items already moved to OpenText, the company anticipates it will take another 6 to 12 months to complete the migration project.

Compliance with Essential Infrastructure Regulations

A significant advantage of the new system is its compliance with the Security of Critical Infrastructure (SOCI) Act. As an operator of critical energy infrastructure, ElectraNet must adhere to stringent requirements regarding data access, security, and integrity. The new ECM platform offers the necessary governance and audit trails to satisfy these demands.

Future Plans: Mobile Access and AI Integration

Looking forward, ElectraNet is gearing up to launch OpenText Mobile, which will enable field staff to approve workflows and access the most current documents while on the go. This developments are expected to further enhance efficiency and ensure that remote teams remain linked to the central information repository.

The company also aims to upgrade to OpenText version 24.4 and is exploring integrations with other enterprise systems like SAP and SuccessFactors. Additionally, ElectraNet is considering OpenText Aviator—its AI-driven platform—to bolster data intelligence and governance.

“The advantages that AI will bring to our OpenText system are immense,” Schumacher pointed out, noting the transformative potential AI has for data classification, compliance, and searchability within the company.

Conclusion

ElectraNet’s dedication to digital transformation is establishing a new standard for information management within Australia’s critical infrastructure sector. By consolidating its data into a unified OpenText-based platform, the company is enhancing its operational efficiency while ensuring adherence to national security standards. With forthcoming upgrades—including mobile accessibility, cross-system integrations, and AI features—ElectraNet is well-positioned to excel in data governance and digital resilience.

Q: What led ElectraNet to reform its information management system?

A:

The company encountered disjointed data storage across numerous platforms, such as personal OneDrives and SharePoint. This chaos threatened efficiency and compliance. The overhaul aims to centralise information and create a single source of truth.

Q: How does OpenText enhance ElectraNet’s compliance with the SOCI Act?

A:

OpenText offers strong data governance features, audit trails, and controlled access, assisting ElectraNet in fulfilling the stringent legal requirements of the SOCI Act, which regulates the safeguarding of Australia’s critical infrastructure.

Q: What advantages does OpenText integration with Microsoft 365 provide?

A:

The integration facilitates real-time co-authoring and collaboration, optimising document workflows and ensuring data uniformity across departments. It also boosts user engagement by offering familiar interfaces and effortless accessibility.

Q: How many data items has ElectraNet migrated so far?

A:

ElectraNet has successfully migrated nearly 800,000 information items into the OpenText platform, with additional migrations ongoing as part of its broader digital transformation strategy.

Q: What is OpenText Aviator, and how does it benefit ElectraNet?

A:

OpenText Aviator is the company’s AI platform designed to introduce intelligence and automation into content management. For ElectraNet, it provides advanced functionalities in data classification, search, and governance, further improving efficiency and compliance.

Q: When will OpenText Mobile be launched, and what features will it offer?

A:

OpenText Mobile is expected to be rolled out soon, enabling field staff to approve workflows and access up-to-date documents from their mobile devices, ensuring they work with the latest data while on the move.

Q: What is Extended ECM, and why is it crucial?

A:

Extended ECM (Enterprise Content Management) is the fundamental OpenText platform utilized by ElectraNet. It connects content with business processes, facilitating structured document management and ensuring integration with enterprise systems like SAP and Microsoft 365.