#ai-security
-
OpenAI Security: Bug Bounty Programs and Documented Incidents
OpenAI security in practice: two public bug bounty programs, a coordinated disclosure policy, and the documented incidents recorded from 2023 through 2026.
-
LLM Security Risks: The OWASP Top 10 and How to Defend
A practitioner breakdown of the OWASP Top 10 for LLM applications, from prompt injection to excessive agency, and the controls that reduce real exposure.
-
AI Security Threat Intelligence Hub
The Tech Sentinel index for AI security threat intelligence, covering agentic AI threats, ChatGPT enterprise vulnerabilities, and security workforce dynamics.
-
Generative AI Risks: A Practitioner's Guide to What Matters
Prompt injection, data leakage, hallucinations, and agentic AI risk, mapped against what the NIST, OWASP, and Cisco frameworks actually tell defenders.
-
Machine Learning Security: Key Threats, Attacks, and Defenses
Adversarial attacks, data poisoning, model theft, and supply chain risk against ML systems, plus the NIST and NCSC taxonomies defenders should work from.
-
ChatGPT Security: Key Risks, Vulnerabilities, Enterprise Controls
DNS-based exfiltration, Codex command injection, credential theft, and prompt injection: the ChatGPT risks and the enterprise controls that reduce them.
-
AI Agents Are Rewriting the Threat Model: Are Defenders Ready?
Clinejection, the AI-augmented FortiGate campaign, and the OpenClaw exposure wave show why agentic AI is best treated as an insider-threat problem.