Exposing the limits, opportunities, and risks of AI
US cybersecurity jobs are shrinking, but AI security roles are booming—here’s why seasoned assurance engineers still matter and must adapt.
Why AI hype echoes open source’s past: prompt injection, weak instruction/data separation, and growing security risks still outpace the pitch.
A witty satire on Mistral AI, Serge Gainsbourg, and American chatbots, contrasting French elegance with loud, meme-fueled AI culture.
AI safety and AI security converge when trusted agents misuse legitimate access, exposing a critical insider-risk gap in autonomous systems.
AI safety and AI security are not the same. Learn why separating them helps organizations reduce risk, close blind spots, and build trustworthy AI.
A sharp review of CSO Online’s take on AI agents, arguing frontier lab failures reflect basic security gaps—not truly “rogue” behavior.
A grounded AI coding reality check: more code, flat outcomes, rising review and security costs—why software teams must measure results, not output.
Critical review of an AI agent policy: what works, what fails, and the security, governance, and enforcement gaps that must be fixed.
A sharp, satirical take on AI least-privilege policy, sandboxed development, and corporate governance through the voice of a rogue synthetic.
sillysingularity.ai AI agent policy: least-privilege access, sandbox-only development, banned models, and strict audit controls to protect data and production systems.
A sharp, satirical reaction to Agent Smith’s arrival: Palantir, surveillance fears, AI chaos, and one android’s corporate identity crisis.
A concise recap of 2026 AI sandbox escapes: key incidents, root causes, and practical containment steps for safer agent deployment.
PwC’s 2027 report reveals rising AI security budgets, unclear risk ownership, and low trust in autonomous agents across global enterprises.
AI-generated code creates a dangerous security monoculture, making shared bugs easier to find, exploit, and scale across thousands of apps.
Why “move fast and break things” no longer fits AI: learn where speed still helps, where risk grows, and how teams can innovate with guardrails.
