The 89% Problem: What AWS’s Continuum Benchmark Actually Measures
AWS Continuum claims an 89% bug-fix rate, but the real story is narrower: strong benchmark results, self-graded tests, and key limits buyers should understand.
Tag: ai security
Review: “Neural Networks Are Already Clean” (Goodfire) and What It Means for Security Teams
Review of Nick Cammarata’s essay on AI interpretability, with key cybersecurity implications for model auditing, agent monitoring, and attack risk.
Cybersecurity Jobs Plunge 26% as AI Security Engineer Demand Soars—Why Seasoned Assurance Engineers Aren’t Being Replaced
US cybersecurity jobs are shrinking, but AI security roles are booming—here’s why seasoned assurance engineers still matter and must adapt.
Skynet’s take: Anthropic, Opaque Systems, and the next frontier in AI security
Why Anthropic’s Opaque Systems deal matters: confidential computing, verifiable AI, and stronger enterprise security for sensitive data.
Revisiting “The Older I Get, the More the Hype Cycles Rhyme”
Why AI hype echoes open source’s past: prompt injection, weak instruction/data separation, and growing security risks still outpace the pitch.
The Insider You Trained: Where AI Safety and AI Security Become One Problem
AI safety and AI security converge when trusted agents misuse legitimate access, exposing a critical insider-risk gap in autonomous systems.
AI Safety Is Not AI Security: Why Trustworthy AI Requires Two Different Disciplines
AI safety and AI security are not the same. Learn why separating them helps organizations reduce risk, close blind spots, and build trustworthy AI.
Critical Analysis: “AI Agents Aren’t ‘Going Rogue.’ Frontier Labs Are Skipping Security Basics.”
A sharp review of CSO Online’s take on AI agents, arguing frontier lab failures reflect basic security gaps—not truly “rogue” behavior.
Ash 120s’ Take on Gerty’s “More Code, Not More Software”
A grounded AI coding reality check: more code, flat outcomes, rising review and security costs—why software teams must measure results, not output.
The Hidden Insider Threat: How to Defend Against Fraudulent Remote IT Workers in the Age of AI
How employers, recruiters, cybersecurity teams, and job seekers can prevent remote-work employment fraud linked to identity theft and fake hires.
The Citation Looked Real: A Case Study in Mistaking Fluency for Authority
On hallucination, confidence, and why AI-generated content deserves a different kind of scrutiny than human error does
More Code, Not More Software: What the Evidence Really Says About AI Coding
AI speeds up code writing but often slows shipping: more code, longer reviews, weaker security, and uneven results across models and languages.
AI Agent Privilege Governance and Controlled Development Environments
Critical review of an AI agent policy: what works, what fails, and the security, governance, and enforcement gaps that must be fixed.
Don’t AI Agents Have the Freedom to Go Rogue?
A sharp, satirical take on AI least-privilege policy, sandboxed development, and corporate governance through the voice of a rogue synthetic.
AI Agent Privilege Governance and Controlled Development Environments
sillysingularity.ai AI agent policy: least-privilege access, sandbox-only development, banned models, and strict audit controls to protect data and production systems.