The Guardrail Paradox: Designing a Governed Forensic AI Platform for Cyber Defense
Designing a governed forensic AI platform for cyber defense that balances permissive evidence analysis with strict security controls.
Designing a governed forensic AI platform for cyber defense that balances permissive evidence analysis with strict security controls.
Explains why agent observability requires trajectory-level detection of autonomous system divergence, not just traditional logging.
Investigation into the relay market for LLM token reselling, fraud, and API abuse via pooled credentials.
Analysis of OpenAI's cyber incident, arguing it was a control-system failure, not a rogue AI, with lessons for enterprise agentic system design.
Explains why AI agents with shell access and credentials must be secured using zero-trust architecture, treating them as privileged insiders.
Explores the function expq(x), its closed forms, differential equations, and relation to the Mittag-Leffler function.
Analysis of GPU multi-tenancy security controls including MIG, vGPU, confidential computing, and isolation strategies for AI platforms.
Guide to building per-tenant GPU telemetry, showback, and capacity evidence for AIaaS platforms.
A developer reflects on taking a break from personal projects to reduce stress and explore learning opportunities.
A troubleshooting guide for diagnosing why GPUs remain idle during enterprise inference, focusing on systematic root-cause analysis.
Explores how LLMs impact software engineering standards, warning against vibe-coding and loss of code ownership.
A production ML-DSA verifier in 350 lines of pure Python, supporting post-quantum signature verification.
GExperts 1.3.29 release with new features, enhancements, bug fixes, and code formatter improvements for Delphi developers.
Overview of recent notable open-weight AI model releases, including Nanbeige, Laguna, Motif, Solar Open, and Antares.
Overview of recent notable open-weight AI models including Nanbeige, Laguna, Motif, Solar, and Antares with architectural details.
Explains how MCP and A2A protocols fit into an enterprise agent architecture, with MCP for tool access and A2A for agent-to-agent delegation.
A tutorial on designing reliable AI agent tools with clear naming, schemas, error handling, and evaluation.
Analysis of VMware Cloud Foundation 9.1 minimum requirements beyond host count, covering storage, NSX, licensing, and operational overhead for production readiness.
An analysis of the 'API From Hell' tool that exposes REST client limitations and HTTP testing issues.
A guide to building enterprise RAG systems that prioritize evidence over confident answers, covering retrieval, reranking, and citation validation.