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AI Security

Breaking-Change-Aware Remediation In 2026

Most fix PRs fail because they ignore breaking changes in the patched version. Here is how breaking-change-aware remediation closes vulns without regressions.

Apr 3, 20267 min read
AI Security

MCP Server Telemetry Data Governance

MCP server telemetry captures sensitive prompts, arguments, and outputs. A governance framework for retention, redaction, and tenant-scoped access is essential.

Apr 2, 20267 min read
AI Security

How DevOps Teams Actually Use AI Today

How can a DevOps team take advantage of artificial intelligence without adding risk? Mostly by pointing it at toil — log triage, test generation, and incident summarization — not by handing it the keys to production.

Apr 2, 20265 min read
AI Security

AI Agent Tool Calling Security: Risks and Mitigations

AI agents that call tools -- APIs, databases, file systems, code interpreters -- convert non-deterministic LLM output into real-world actions. Securing this boundary is the defining challenge of agentic AI.

Apr 1, 20267 min read
AI Security

Safeguard Griffin AI: Eval Benchmarks Published

Griffin AI's evaluation harness results published for the first time. Benchmark methodology, comparison against baselines, and what the numbers mean for production use.

Apr 1, 20266 min read
AI Security

OpenAI API Key Leakage on GitHub at Scale

A senior engineer's view of OpenAI API key leakage on GitHub at scale, why automated secret scanning misses so many, and what actually stops the bleeding.

Apr 1, 20267 min read
AI Security

AI Agent Frameworks: A Security Assessment of the New Autonomous Frontier

AI agents that can execute code, browse the web, and manage infrastructure are proliferating. The security implications of these autonomous frameworks demand scrutiny.

Mar 31, 20266 min read
AI Security

Responsible Disclosure For Discovered Zero-Days

When your pipeline starts producing zero-days, you inherit responsible disclosure obligations. Here is how to do it well, with the artefacts the pipeline already gives you.

Mar 31, 20267 min read
AI Security

LLM-Augmented Bug Discovery Methodology

A practitioner's methodology for using LLMs to augment — not replace — traditional bug discovery workflows, with patterns that hold up under real review load.

Mar 30, 20269 min read
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