Safer systems.
Better rules.
Real accountability.
Practical approaches to risk, policy, evaluation, and governance that teams can apply to deployed AI.
Safety / Policy / Accountability
Benchling details layered AWS defenses for multi-tenant AI code execution
The production design isolates AgentCore sessions, restricts DNS and S3 access, and continuously tests the controls, but its incident record and security outcomes are reported by…
4 min read
Inside Jamf’s near-real-time controls for per-user Amazon Bedrock spending
Jamf’s production architecture turns Bedrock invocation logs into daily per-user cost estimates, then uses scheduled Lambda processing and IAM Customer Managed Policies to apply tiered model…
8 min read
How NVIDIA and CrowdStrike Built an Adaptive Agentic Cybersecurity Loop
The experimental system combines offensive agents, Falcon telemetry, specialized Nemotron models, executable validation and live-fire testing to turn observed defense gaps into detection coverage—while leaving important…
8 min read