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Uber Recruits Security Researchers to Improve Car Technology

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Uber Technologies Inc has hired two top vehicle security researchers, the company said over the weekend. The newly recruited researchers are high-profile additions that come as the ride-hailing service ramps up its work on technology for self-driving cars.

Charlie Miller, who had been working at Twitter Inc, and Chris Valasek, who worked at security firm IOActive, have resigned from their jobs and will join Ubernext week.

Miller and Valasek won wide attention this month after demonstrating that they could hack into a moving Jeep.

Uber said that Miller and Valasek will join the company’s Advanced Technologies Centre, a research laboratory Uber opened in Pittsburgh in February and staffed with dozens of autonomous vehicle experts hired away from Carnegie Mellon University.

An Uber spokeswoman said Miller and Valasek will work with the company’s top security officers “to continue building out a world-class safety and security program at Uber.”

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Raffi Krikorian, who heads Uber’s Advanced Technologies Centre, tweeted a welcome to the duo on Friday.

Miller tweeted that he was looking forward to starting his new job on Tuesday. Valasek tweeted that his last day at IOActive will be Monday.

As Uber plunges more deeply into developing or adapting self-driving cars, Miller and Valasek could help the company make that technology more secure.

Uber envisions autonomous cars that could someday replace its hundreds of thousands of contract drivers. The San Francisco company has gone to top-tier universities and research centres to build up this capability.

Uber recently announced a partnership with the University of Arizona, offering the school grant money to fund research into the mapping and safety technology needed for autonomous vehicles, which Uber will test on the streets of Tucson, Arizona.

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This partnership follows the more tumultuous effort earlier this year at Carnegie Mellon University that resulted in Uber hiring away more than 40 of its top scientists and researchers, leaving one of the world’s top robotics research institutions reeling.

And in March, Uber bought digital mapping firm deCarta, a San Jose, California-based company whose technology offers search and turn-by-turn directions.

Miller and Valasek’s Jeep efforts, which were coordinated with manufacturer Fiat Chrysler Automobiles NV, prompted the first vehicle recall to protect drivers from possible malicious hacking.

FCA USA LLC recalled 1.4 million vehicles to install software intended to prevent hackers from emulating the experiment, which used the cellular network to enter the entertainment system and then win control of the engine, brakes and steering.‎

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Cyber Resilience a Critical Priority for Manufacturing Amid Rapid Digitalization – Report Shows

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As 60% of manufacturers race toward full digitalisation, cyber risk is increasingly manifesting as a business risk, according to a new global report by Kaspersky and VDC Strategy.

This means cybersecurity is not merely a compliance function, it is a cornerstone of production assurance, safeguarding uptime, quality, and operational continuity.

Manufacturers are modernising to deliver safer, more consistent and more cost-effective production and digitalization is moving fast: just 9% of organisations describe themselves as fully digital today, but 60% expect to get there within two years, according to the joint report by Kaspersky and VDC, titled ‘Cyber Resilience, Built for Manufacturing’.

That shift links shop-floor equipment, production lines and site operations to platforms such as Manufacturing execution systems (MES), Supervisory control and data acquisition (SCADA) and historians, turning many plants into cyber-physical systems (CPS), where a digital disruption doesn’t stay digital. It can slow production lines, quarantine work in progress, invalidate traceability records, or halt production outright.

What’s driving manufacturing digitalization?

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Manufacturers are digitising for measurable operational gains, not novelty. Survey respondents identified the primary drivers of their digital transformation strategy as:

  • Improving production output or efficiency (24%)
  • Reducing operational or production expenses (15%)
  • Enabling new strategic opportunities (14%)
  • Improving cyber resilience (13%)

The same connected systems that unlock these gains, including MES, IIoT sensors, automated material handling, remote engineering access, also become the systems that determine whether production can be trusted to keep running.

Cyber risk is now a business risk

Cyber risk has evolved from a mere IT concern to a direct threat to revenue generation, as environments transform into cyber-physical systems. In these integrated settings, digital disruptions like malware no longer just affect data, they can cause unsafe operations, scrapped batches, and halted production on the plant floor. This shift highlights the urgent need to treat cybersecurity as a key part of operational resilience.

According to the report, nearly 60% of manufacturing organisations estimate that cyber incidents cause damages exceeding $1 million per event, with an average disruption of 15.3 hours. The most significant losses often result from production halts, missed delivery commitments, and penalties, rather than just forensic costs.

In this context, downtime links cybersecurity risks to overall business performance. Cyber incidents can reduce Overall Equipment Effectiveness (OEE), strain staffing, and disrupt supply chains. Recovery involves more than system restore, it requires re-establishing confidence in process parameters, quality records, and traceability before resuming operations.

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Mature cybersecurity programs now incorporate OT security into governance, focusing on metrics valued by production leaders such as time to restore, backup confidence, legacy asset coverage, and safe degraded operation. This alignment ensures cybersecurity supports continuous production and resilience, not just IT compliance.

However, challenges remain due to split ownership. While 59% of organisations’ IT departments manage security policies, these often overlook plant realities. Managing many security tools (44%) and OT patching issues (38%) show that cybersecurity must be embedded into daily routines of production, engineering, and quality teams. Only through such integration can cybersecurity effectively enhance operational reliability and defend against evolving threats.

“As manufacturing environments become increasingly interconnected, cybersecurity shifts focus from merely adding protective layers to ensuring the availability, resilience, and integrity of production processes. The goal is to minimise operational impact and speed up recovery, rather than solely preventing intrusions.

“Kaspersky offers a unified ecosystem that integrates IT, OT, and IIoT security, empowering manufacturers to pursue digital transformation securely. This strategy helps maintain operational continuity and reduces long-term cybersecurity costs,” comments Andrey Strelkov, Head of Industrial Cybersecurity Product Line at Kaspersky.

To implement this strategy, manufacturing companies can leverage solutions from the Kaspersky OT Cybersecurity Ecosystem, centered around Kaspersky Industrial CyberSecurity (KICS), a native Extended Detection and Response platform designed for critical infrastructure protection. KICS enables centralised detection and response to complex attacks across the entire industrial network, ensuring comprehensive visibility and security.

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NDPC Probes UNILAG, Lotus Bank, Hackerbella over Alleged Students’ Data Misuse

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Nigeria Data Protection Commission (NDPC) has commenced a forensic investigation into the University of Lagos (UNILAG), Lotus Bank and Hackerbella Ltd over alleged violations of data protection laws involving students’ personal information.

NDPC Probes UNILAG, Lotus Bank, Hackerbella over Alleged Students’ Data Misuse

The investigation follows public complaints alleging that students’ personal data were used to open bank accounts without a lawful basis.

Dr Vincent Olatunji, national commissioner and chief executive officer of the NDPC, directed the investigation team to conduct a comprehensive assessment of the circumstances surrounding the collection, processing, use and disclosure of the affected students’ personal data.

The investigation will also determine the respective roles and responsibilities of UNILAG, Lotus Bank and Hackerbella in the alleged processing of the data.

According to the Commission, the investigation will assess the data protection compliance obligations of the parties under the Nigeria Data Protection Act, 2023 (NDP Act), as well as potential risks posed to the rights and freedoms of the affected data subjects.

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The NDPC said the probe would cover several areas, including Data Protection Impact Assessments (DPIAs), the lawfulness and transparency of credit scoring or profiling activities, and the use of automated decision-making systems.

It will also examine the adequacy of privacy notices, data-sharing arrangements, lawful bases for processing, data minimisation and purpose limitation.

Other areas include data retention policies and the adequacy of technical and organisational measures put in place to safeguard the rights and personal data of affected students.

The Commission reiterated that institutions entrusted with the personal data of students, staff and other members of their communities have a heightened responsibility to ensure that such information is processed lawfully, fairly, transparently and securely.

The NDPC therefore warned educational institutions that are yet to comply with its existing data protection compliance directives to take immediate steps to achieve compliance.

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The Commission said it would continue to exercise its regulatory mandate to protect the privacy rights of Nigerians and ensure that organisations processing personal data comply with the provisions of the Nigeria Data Protection Act, 2023.

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Microsoft to Unveil Next-generation AI Chip in September

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Microsoft is planning to unveil its new Maia 300 AI chip this fall, potentially as soon ​as next month, The Information reported on Monday, citing ‌people with direct knowledge of the plans.

The company introduced its Maia AI chip in November 2023 but has lagged rivals such as Alphabet and ​Amazon in scaling up its in-house chip efforts as ​it seeks to reduce its reliance on Nvidia’s costly ⁠processors.

Google began recognizing revenue from direct sales of its custom ​AI chips, called Tensor Processing Units, in the quarter ended June, ​while Amazon has also seen growing adoption of its processors, including its Trainium chips.

Microsoft has been in talks with chipmaker TSMC to secure manufacturing ​capacity for more than 300,000 units of the chip for ​delivery in 2027, according to the report. It is also looking to significantly ramp up ‌production ⁠and persuade major cloud customers such as Anthropic to adopt the chip.

Microsoft ultimately ​aims to ⁠secure capacity for more than 1 million Maia 300 chips, though component supplies and ongoing capacity ​negotiations with TSMC could constrain its plans, according ​to the ⁠report.

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It unveiled its second-generation Maia 200 in January, built by TSMC using 3-nanometer technology.

Microsoft packed the chip with a significant amount of ⁠SRAM, ​a type of memory that can provide ​speed advantages for AI systems handling large numbers of user requests.

 

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