Security & Compliance Articles
Browse 165 articles about Security & Compliance.
GPT-5.5 vs Claude Mythos on Cybersecurity: Which AI Is More Dangerous?
GPT-5.5 scored 71.4% on expert cyber tasks and cracked a reverse-engineering challenge in 10 minutes for $1.73. Claude Mythos scored 68.6%.
Post-Quantum Cryptography: What Engineers Need to Do Before 2029 (And Why Waiting Is Already Too Late)
Governments are already storing encrypted traffic to decrypt once quantum computers arrive. Here's the engineer's checklist for PQC migration before 2029.
Scott Aaronson's Quantum Warning: The World's Top Skeptic Now Says Crypto-Breaking Computers Arrive by 2029
Aaronson — the most prominent quantum skeptic alive — now says people 'familiar with the matter' believe fault-tolerant quantum computers breaking RSA…
White House Blocks Claude Mythos Expansion: The First US Government Restriction on an AI Model Rollout
The White House stopped Anthropic from expanding Mythos access from 50 to 120 orgs — the first known case of the US government restricting an AI model's…
What Is the Anthropic Billing Controversy? What It Means for AI Tool Vendors
Anthropic scanned user code for competitor harness keywords and charged extra. Here's what happened, why it matters, and what it means for AI tool builders.
AISI's Last Ones Benchmark: 5 Findings That Explain Why the White House Blocked Claude Mythos
Mythos completed a 32-step corporate network attack 3 out of 10 times. Here are the five AISI findings that triggered White House intervention.
How Anthropic's Harness Detection Actually Works — and Why It Triggered a $200 Overcharge
Anthropic scans git commit messages for keywords like 'hermes.md' to detect third-party harnesses and switch to API billing. Here's the exact mechanism.
Anthropic's OpenClaw and Hermes Detection Controversy: 4 Things Every Claude Max User Needs to Know
A $200 overcharge. A 1.44M-view viral post. An empty repo test. Four things Claude Max users need to know about Anthropic's harness detection policy.
Claude Mythos Found a 27-Year-Old Vulnerability — Then the White House Stepped In: 4 Things You Need to Know
Mythos found a vulnerability that survived 27 years of human review. Now the White House is controlling who can access it. Here's the full story.
Google's Pentagon AI Deal: 3 Facts That Make It More Controversial Than It Looks
Google broke a 2014 DeepMind promise. 600+ employees protested. Anthropic was previously rejected as a Pentagon 'supply chain risk.' Here's the full picture.
Google vs Anthropic vs OpenAI on Military AI: Who Drew the Line and Who Didn't
Anthropic refused and got blacklisted. OpenAI drew red lines. Google signed with no binding restrictions. Here's where each lab stands on military AI.
GPT-5.5 Solved a 12-Hour Reverse Engineering Challenge in 10 Minutes for $1.73
A task that takes a human security expert 12 hours cost GPT-5.5 $1.73 and 10 minutes. Here's what that means for offensive and defensive security.
Former Government AI Analyst: White House Mythos Block Is 'Building a Dam Against a Tsunami'
AI policy analyst Dean Abal says Mythos-level capabilities will diffuse to adversaries in 6-18 months regardless. Here's the case for arming defenders first.
How Regulated Professionals Can Use Local AI Without Cloud Compliance Risk
Law firms, medical practices, and financial advisors need AI that never leaves their network. Here's how on-device AI solves the compliance problem.
7 Things You Must Do Before Deploying an AI Agent to Production
Before shipping a multi-user AI agent, lock down model control, guardrails, budget limits, tool auth, monitoring, and evals. Here's your production checklist.
How to Deploy AI Agents to Production: Budget Limits, Guardrails, and Monitoring
Rogue agents, runaway costs, and silent hallucinations are real production risks. Here's how to lock down your AI agent before it goes live.
7 Things You Must Set Up Before Deploying an AI Agent to Production
Model control, guardrails, budget limits, MCP auth, tracing, and evals — the production checklist every team needs before shipping AI agents.
7 Things You Must Have Before Deploying an AI Agent to Production
Before shipping a multi-user AI agent, you need model control, guardrails, budget limits, and evals. Here's the production-readiness checklist that matters.
7 Things You Must Do Before Deploying a Multi-User AI Agent
From model control to budget limits and eval frameworks, here are the seven production requirements every team needs before shipping an AI agent to real users.
AI Safety as a Market Position: What the Anthropic Pentagon Dispute Means for Enterprise AI
Anthropic refused Pentagon demands and got blacklisted—then saw record consumer adoption. Safety posture is now a revenue decision, not just an ethics question.