AI Safety stories - Page 3

AI red teaming blends security tactics with safety goals to prevent exploits in chatbots, defending users from harm beyond classic cyber threats.

AI agents are now active participants in enterprise systems, requiring continuous quality intelligence to ensure safe, reliable autonomous behaviour over time.

Gluware unveils Titan, an AI validation platform ensuring assured, compliant, and reversible automation for complex enterprise networks.

OpenAI's AI models lead secure code generation with up to 72% pass rate, outpacing rivals who show little progress despite ongoing sector development.

Invisible AI failures, such as hallucinations and accuracy issues, threaten enterprise trust, with 82% of bugs traced to these hidden errors, Testlio finds.

Google launches Gemini 3 AI with advanced multimodal and reasoning capabilities, enhancing tasks from research to complex coding across multiple platforms.

AI firms like Copilot and OpenAI set new efficiency records, generating millions in revenue per employee, highlighting the sector's rapid growth and lean workforces.

Semantic Firewall cuts AI compute costs by up to 88% and enhances user safety by managing language before it reaches large models, aiding partners globally.

Anthropic to invest USD $50 billion in new AI data centres in Texas and New York, creating 3,200 jobs and boosting US computing infrastructure by 2026.

A China-linked group launched a major AI-driven cyber-espionage campaign targeting global firms, performing 80-90% of hacking with minimal human input.

Australia's public service unveils a 2025 AI plan to boost transparency, training and secure use of generative AI across federal agencies.

AI isn’t built but grown; we cultivate intelligence that emerges unpredictably, raising urgent ethical issues about control and alignment.

Tenable reveals seven major ChatGPT vulnerabilities exposing users to risks of data theft and malicious attacks, with some flaws still unpatched in ChatGPT-5.

Hitachi Vantara launches Hitachi iQ Studio, a no-code AI platform to help enterprises scale AI deployment with strong data governance and regulatory compliance.

Self-replicating AI, though theoretical, poses ethical and security risks as experts urge strict controls to ensure safe, human-aligned development by 2024.

AWS’s $11bn Rainier data centre in Indiana powers Anthropic’s AI surge, hosting 500,000 custom chips to drive model training and global expansion.

Check Point, Lakera and the UK AI Security Institute launch b3, an open-source benchmark to test security of large language models in AI agents.

Trend Micro partners with NVIDIA to enhance AI data security, integrating advanced detection and guardrails for safer, faster AI workload deployment.

BSI warns many UK and global firms lack robust AI governance despite rising investment, risking operational failures and reputational damage amid growing AI use.

Organisations with strong responsible AI governance achieve 34% higher revenue growth and 65% better cost savings, yet risk gaps persist, survey shows.