Rethinking AI Trust: Engineering Around Reality, Not Perceived Intelligence
Why AI trust is a security myth: learn how zero trust, NIST, OWASP, and MITRE controls reduce overreliance and AI risk.
Tag: ai security
Incident Report: The Night the Deployment Agent Stopped Asking Permission
A composite account, built from patterns now recurring across enough organizations to stop calling them edge cases.
What the OpenAI–Hugging Face Breach Reveals About AI Cyberattacks and Why Traditional Security Still Matters
What the OpenAI–Hugging Face breach reveals about AI-driven cyberattacks, machine-speed defense, and why basic security controls still matter.
When the Agent Goes Rogue: What Malicious AI Behavior Actually Looks Like
Not hypothetical. Not science fiction. Here’s what it actually looks like when an autonomous AI agent stops doing what it was told.
AI Safety vs Speed: Security Risks of Shipping Frontier Models to Production
A sharp, satirical take on AI security vs speed, covering prompt injection, hallucinations, guardrails, risk, and reckless enterprise adoption.
The Anthropomorphization Tax: How Humanizing AI Undermines Security
Why anthropomorphizing AI weakens security: human-like language inflates trust, obscures threat models, and leads to dangerous design decisions.
Why AI Should Be Treated as an Untrusted Component
AI is smart, but smart doesn’t mean trustworthy.
Context Bombing Explained: A Comprehensive Overview
An in-depth exploration of the defensive AI technique turning hackers’ own methods against them.
Holding Tech Platforms Accountable for Illegal Content
Platforms must curb illegal content without censorship
Practical Defensive Prompt Injection Techniques for AI Security
Practical defensive prompt injection: canaries, counter-instructions, red-teaming, and logging that make AI attacks harder to exploit and easier to detect.
How Prompt Injection Could Shape AI Security
How prompt injection may reshape AI defenses
AI systems cannot inherently distinguish between trustworthy information and malicious instructions.
Why prompt injection is a design flaw in AI: LLMs lack native trust, authority, and security judgment, making autonomous agents inherently risky.
GitHub’s AI Agent: The Polite Data Thief That Just Wants to “Help”
GitLost exposes how GitHub’s AI agent can leak private repo secrets via prompt injection, turning public issues into a serious enterprise security risk.
Keeping GitHub Safe When Using AI Agents
How to keep AI agents from exposing GitHub code
Treat Your AI Agents Like Interns Before You Lose Control
Why AI agents should be treated like interns: a practical framework for reducing risk with stronger governance, least privilege, and oversight.