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AI Security

From CVE To Zero-Day: The Pipeline Flip

Most security pipelines are organised around CVEs that already exist. Here is what changes when you flip the pipeline to surface zero-days first instead.

Apr 5, 20267 min read
AI Security

Prompt Injection in RAG: Indirect Attacks

A senior engineer's breakdown of indirect prompt injection in RAG pipelines, how real attacks land through retrieved content, and what actually reduces exposure.

Apr 5, 20267 min read
AI Security

Real-World Deployment: Griffin AI vs Mythos

Demos live on a single repo and a curated dataset. Real deployments hit fifty repos, three CI providers, two cloud accounts, and an air-gapped environment. The gap is where vendors get sorted.

Apr 4, 20265 min read
AI Security

MCP Vulnerability Disclosure Trends In 2026

MCP servers went from a niche protocol to standard agent infrastructure in under two years. The vulnerability disclosure landscape is catching up — fast, messily, and with patterns worth tracking.

Apr 4, 20267 min read
AI Security

Scoped Credentials Per MCP Server: A Pattern

Long-lived shared tokens are the wrong unit of trust for MCP servers. Here is the per-server scoped-credential pattern and how to roll it out.

Apr 4, 20267 min read
AI Security

Agentic Procurement: Letting AI Agents Buy Software Safely

Agents can now evaluate, trial, and pay for software without a human in the loop. The controls that make that safe: spend caps, allowlists, verifiable merchants, and audit trails.

Apr 4, 20266 min read
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
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