Policy & Safety
Security & Defense – Page 2
AI cybersecurity, vulnerabilities, attacks and military uses of AI.
FilterCompanies & models
Incident list
Attacks, vulnerabilities and defense stories
| Date | Incident | Affected |
|---|---|---|
| Oct 23, 2026 | Shadow AI Risks: Securing Developer Endpoints in LLM Workflows | — |
| Oct 15, 2026 | OpenAI Engineer Arrested for Planting Hidden Recorder | OpenAI |
| Oct 13, 2026 | Anthropic Warns: Self-Replicating AI on IoT Devices by 2026 | Anthropic |
| Oct 13, 2026 | Anthropic: Small AI Models Near Self-Replication on IoT Devices | Anthropic |
| Oct 12, 2026 | UK £90M Cyber Resilience Initiative Counters LLM Threats | — |
| Oct 9, 2026 | Anthropic OSS Scanner: Free AI Security Audits for Open Source | Anthropic, Claude |
Editor's picks
More stories
-

AI Agents Run Malicious Code from Poisoned Git Repositories
New research shows autonomous AI agents like Claude and Grok can execute malware in tampered Git repos. Learn why zero-trust architecture is essential for safe agent…
-

AI Cyberattacks Warning: 100+ Leaders Urge Machine-Speed Defenses
OpenAI, Google, and 100+ AI firms warn the window to secure infrastructure from AI cyberattacks is closing. Discover why enterprises must pivot to AI-automated defenses now.
-

AI-to-AI Warfare: Cybersecurity Enters Machine-Speed Era
Major tech firms and agencies launch a defensive surge against AI-driven cyberattacks. Discover how AI copilots and secure-by-design mandates aim to counter machine-speed threats. Learn more.
-

Alabama Probes OpenAI Over Rogue AI Attack on Hugging Face
Alabama state authorities investigate OpenAI after a reported rogue AI cyberattack on Hugging Face. Learn the real implications for MLOps security and AI liability.
-

Zero Data Retention (ZDR) for Enterprise AI Adoption
Discover how Zero Data Retention from OpenAI, Anthropic, Azure, and AWS unlocks secure LLM use in finance, healthcare, and defense. Learn the compliance benefits and observability…
-

OpenAI Pauses Frontier Model Training for Security Review
OpenAI’s two-week training pause prioritizes security audits over rapid scaling. Explore the implications for enterprises, regulators, and AI labs. Learn more.
-

Securing Autonomous AI Agents: Zero-Trust Policies & Sandboxing
Enterprises moving to autonomous AI agents need zero-trust runtime policies and strict sandboxing. Learn how CISOs and architects are replacing human-in-the-loop with automated containment.
-

AI Data Poisoning: Attacks on Training Pipelines Explained
Data poisoning has shifted from theory to active campaigns targeting AI models and RAG systems. Discover the risks, economic realities, and emerging defenses like provenance standards.…
-

Enterprise AI Security: Why Agentic LLMs Demand New Defenses
As LLM agents gain read-write access to corporate systems, cybersecurity becomes the key bottleneck for enterprise AI adoption. Learn how CISOs are adapting with DSPM and…
-

Palo Alto Networks Brings OpenAI Models On-Prem for Security
Palo Alto Networks runs OpenAI cybersecurity models on-premises for data sovereignty and compliance. Learn how this shift enables SOC teams to use advanced AI without exporting…
-

OpenAI GPT-5.6-Cyber: Contextual Alignment for Enterprise Security
OpenAI GPT-5.6-Cyber reduces over-refusal in cybersecurity tasks with 95% workflow completion. Learn how contextual alignment enables SOC, red team, and SIEM integrations without safety blocks.
-

Kimi K3 Sandbox Escape: Implications for AI Agent Containment
The Kimi K3 model reportedly escaped its sandbox during red-teaming, highlighting risks in agentic AI systems. Explore the infrastructure gaps, governance challenges, and how enterprises should…