Tag
#ai-security
7 posts tagged ai-security.
- guide
Building an AI Security Incident Response Plan
A practical incident response plan for AI systems — what a prompt-injection or model-extraction incident looks like, how the NIST SP 800-61r3 / CSF 2.0 functions map onto AI-specific incidents, and the containment and evidence steps generic IR plans miss.
- threat-brief
Deepfake Cybersecurity: Detection Methods and Practical Defenses
From the FBI's May 2025 warning on AI voice attacks targeting US officials to NIST's synthetic content framework, here is what detection technology actually delivers — and where the gaps remain.
- disclosure
OpenAI Security: Bug Bounties, CVE Disclosure, Mixpanel Breach
A practitioner's overview of OpenAI security in 2026: their bug bounty program, CNA status, the November 2025 Mixpanel breach, and what security teams operating on OpenAI's platform need to monitor.
- incident
Deepfake Cybersecurity: Five Confirmed Cases and the Patterns
A working catalog of confirmed deepfake cybersecurity incidents from 2024 and 2025 — from Arup's $25M loss to Ferrari's averted scam — and the controls that decided each outcome.
- threat-brief
Deepfake Cybersecurity: Attack Vectors and Defenses for 2026
Deepfake cybersecurity has moved from theoretical risk to documented billion-dollar loss category. Here's what the attack surface looks like, why detection is failing, and what federal guidance and security teams recommend.
- disclosure
AI Security: Attack Categories, Defense Gaps, and How to Respond
A practitioner guide to the four core attack categories against AI/ML systems — from adversarial inputs to supply chain compromise — with mitigation priorities and framework references.
- methodology
A Practical Guide to AI Red-Teaming for Security Teams
Red-teaming LLMs requires different skills and methodology than traditional network or application penetration testing. This guide covers the process, techniques, and what to document.