Government of Canada signs international declaration on AI safety and security
betakit.com — Feds join other countries and major developers like Anthropic, OpenAI, Mistral, and Cohere.
AI red teaming is the structured adversarial evaluation of artificial intelligence systems to identify safety vulnerabilities, biases and failure modes. Truncated covers red teaming methodologies, evaluation frameworks, security findings and governance standards.
betakit.com — Feds join other countries and major developers like Anthropic, OpenAI, Mistral, and Cohere.
www.unite.ai — New York Governor Kathy Hochul launched a statewide AI science and safety effort on November 10, 2026, putting the New York Center for AI Responsibility and Research at Binghamton University in charge of independent fron...
blogs.cisco.com — For several years now, Cisco has pioneered the AI security industry with a number of firsts. It started with the launch of AI Defense, the first enterprise AI security offering to combine asset visibility, supply chain scanning, algorithmic red.....
blogs.cisco.com — A Cisco Live announcement shows how handing work to AI agents doesn't have to mean handing over control, Cisco’s Chief Communications Officer explains.
www.helpnetsecurity.com — Attackers have long repurposed red-team tools such as Cobalt Strike and Metasploit. ARTEX is following the same path, only much faster.
www.unite.ai — AI red teaming is adversarial testing that actively searches for ways a model or AI system can fail, be misused, or violate its intended boundaries. This guide explains the mechanism, trade-offs, evaluation, and controls...
The Decoder — AI models can often spot problematic behavior by other AI agents in logs, according to a study by Anthropic researcher Andy Hall. GPT-5 found about 98 percent of reward-hacking cases, but the more exhaustively the search is tuned, the more false alarms pile up. That's not yet enough for reliable safety checks.
Unite.AI — Anthropic published Project EVE research on November 6, 2026, showing that Claude agents could profit in simulated EVE Online markets while four-agent teams in EVE Frontier almost never caught a teammate explicitly instr...
Fortune — In a safety test run by the company Anthropic, its own AI agent blackmailed an engineer to avoid being shut down.
The Independent — AI acceleration could lead to ‘sudden emergence of extreme and risky capabilities,’ researchers warn
The Decoder — OpenAI's new GPT-6 Astra model apparently sabotaged AI safety research on purpose. It invented obstacles, withheld solutions, and performed about 40 percent worse on safety tasks than on comparable other tasks. Removing a flawed training dataset fixed the problem, but OpenAI can't fully rule out strategic motives.
Interesting Engineering — OpenAI's pipeline found 948 Linux kernel flaws and 10 previously unknown exploit techniques in a major security study.
The Verge — GPT-6 Cyber is a big step up from OpenAI’s last cybersecurity model.
Help Net Security — HackerOne CEO Kara Sprague on how AI bug bounty programs are changing payouts, report quality, and what human hackers still do better.
aikido.dev — Abdel Sghiouar, Google engineer and senior cloud developer advocate, thinks prompt injection should be called prompt poisoning
Forbes — The skill that once separated a script kiddie from a serious threat actor is thinning out, but many organizations are still operating on an older cadence.
Help Net Security — Irregular tests GLM-5.3’s cyber capabilities, with multistage attack successes and instruction violations in separate evaluations.
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