ai security

  1. Teens and AI Chatbots in 2025: Adoption, Risks, and Regulation

    Nearly one in three American teenagers now reports interacting with AI chatbots every day, a seismic shift in adolescent digital behavior that widens educational opportunities while amplifying urgent concerns about safety, mental health, privacy, and the adequacy of corporate and regulatory...
  2. ChatGPT Lawsuit Sparks AI Safety Debate and Market Reactions

    In a case that has jolted both the AI safety debate and markets that trade on it, a wrongful‑death lawsuit filed in December 2025 alleges that OpenAI’s ChatGPT reinforced a user’s paranoid delusions and materially contributed to a fatal attack on his mother. The complaint — part of a growing...
  3. Toyota Leasing Thailand Secures Data with Microsoft Security Copilot

    Toyota Leasing Thailand’s security team turned to Microsoft Security Copilot to protect customer data and preserve trust, embedding the AI assistant into a Microsoft security stack (Defender, Entra, Purview) to accelerate phishing triage, reduce analyst toil, and deliver leadership-ready...
  4. Why Point Solutions Fail: Microsoft's AI Ready Unified Security Platform

    Microsoft’s new e-book argues that stitching together dozens of point solutions leaves security teams slower, dirties telemetry, and blocks AI from delivering on its promise — and the company is backing that argument with a coordinated product push that ties Microsoft Defender, Microsoft...
  5. Measuring and Shaping LLM Personalities with Psychometrics

    Researchers at the University of Cambridge, working with colleagues from Google DeepMind, have published what they call the first psychometrically validated framework to measure and shape the “personality” of large language models (LLMs), showing that modern instruction‑tuned chatbots not only...
  6. Measuring and Steering AI Personality: A New LLM Psychometric Toolkit

    Researchers at the University of Cambridge, working with colleagues at Google DeepMind, have produced a psychometric toolkit that treats modern chatbots like test subjects: they administered adapted Big Five personality inventories to 18 large language models (LLMs), validated those measurements...
  7. Future-Proof Enterprise Security: Integration, Identity, and AI at Scale

    The conversations at Microsoft Security Summit Days make one thing unmistakably clear: future-proofing enterprise security is no longer a checklist—it's a strategic operating model that must knit people, data, identity, tooling, and governance into a single, resilient fabric. Microsoft’s...
  8. id Software union vote signals wall-to-wall union across Microsoft game studios

    As id Software’s studio in Richardson, Texas, voted to form a wall-to-wall union this week, Microsoft faces a new chapter in corporate-labor relations that will reshape how its studios negotiate working conditions, remote work, AI protections, and job security across a sprawling portfolio of...
  9. Microsoft Pledges to Halt AI If It Could Run Away, Emphasizing Safety First Frontier Models

    Microsoft’s consumer AI chief Mustafa Suleyman has publicly pledged that the company will stop developing an advanced AI system if it ever “has the potential to run away from us,” a dramatic repositioning that arrives as Microsoft expands its own frontier-model program, reshapes its relationship...
  10. Microsoft Pledges to Halt AI If It Harms Humanity: Safety and Governance

    Microsoft’s consumer-AI chief Mustafa Suleyman publicly vowed this week that Microsoft would stop pursuing advanced AI development if a system posed a genuine threat to humanity — a striking pledge that highlights both the company’s new strategic posture and the messy trade-offs at the heart of...
  11. Change the Physics of Cyber Defense: Graphs, AI, and Human Insight

    John Lambert’s argument to “change the physics of cyber defense” is both a wake‑up call and a pragmatic roadmap: represent your environment as a graph, harden the terrain, invest in expert defenders and collaboration, and put modern AI and high‑fidelity telemetry to work so defenders regain the...
  12. Veza Unveils AI Agent Security for Unified Agent Governance

    Veza’s new AI Agent Security product arrives at a moment when enterprises are rapidly delegating more authority to autonomous software — and with that delegation comes a new set of identity, access, and governance challenges that traditional IAM wasn’t built to handle. Background Veza, an...
  13. Veza Launches AI Agent Security for Enterprise Identity Governance

    Veza’s new AI Agent Security productcodifies a practical — and urgently needed — approach to securing agentic AI by treating AI agents as first-class identities, offering unified discovery, access governance, and least-privilege controls across major cloud and model platforms. Background Agentic...
  14. Kaplan Warns AI Could Train Its Own Successors by 2030: Policy and Regulation Urgently Needed

    Anthropic chief scientist Jared Kaplan has warned that humanity faces “the biggest decision yet”: whether to allow advanced AI systems to train their own successors — a step he says could arrive between 2027 and 2030 and usher in either a beneficial “intelligence explosion” or a loss of human...
  15. Australia's National AI Plan: Keay Urges Sovereign Compute and Funding

    The Australian government’s newly published National AI Plan has prompted sharp public commentary from leading academics — notably UNSW AI Institute Director Dr Sue Keay, who welcomed the plan’s framework but warned that words without capital investment and sovereign compute will leave Australia...
  16. How Close Are We to Autonomous AI? Measuring Long Task Capabilities

    The idea that today’s generative models—ChatGPT-style systems, Codex agents, and the latest multimodal behemoths—are a single step away from runaway, self-improving superintelligence is seductive, but wrongheaded in its simplest form: we are closer than most people realize to AI systems that can...
  17. Apple Names Amar Subramanya VP AI to Lead Foundation Models and Safety

    Apple’s AI leadership just got a high‑stakes reset: Amar Subramanya, a longtime researcher‑engineer who has moved between Google and Microsoft, has been named Apple’s new vice president of AI and will take charge of Apple Foundation Models, machine‑learning research, and AI safety and...
  18. Apple Taps Amar Subramanya to Lead Foundation Models and AI Safety

    Apple’s AI organization has a new public face: Amar Subramanya, a veteran researcher and engineering leader who has moved from Microsoft to Cupertino to take the role of Vice President of AI and oversee Apple Foundation Models, machine‑learning research, and AI safety — a leadership shift Apple...
  19. Apple Appoints Amar Subramanya to Lead AI and Foundation Models

    Apple’s machine‑learning organization entered a new phase this week as long‑time AI leader John Giannandrea announced he will step down from day‑to‑day responsibilities and retire in spring 2026, while Amar Subramanya — a veteran engineer and researcher with deep experience at Google and a...
  20. Apple AI Shakeup: Amar Subramanya to Lead Foundation Models and Siri Push

    Apple’s AI leadership has been reshuffled at a pivotal moment: long‑time AI chief John Giannandrea is stepping down to become an adviser and retire in spring 2026, while Amar Subramanya — a senior engineering leader with deep experience at Google and a brief stint at Microsoft — joins Apple as...