ai-security
Safeguard articles tagged "ai-security" — guides, analysis, and best practices for software supply chain and application security.
593 articles
DeepHat AI Explained: The Open Security LLM and How to Use It Safely
What DeepHat AI is, where it came from, and how to fold an uncensored open-source security model into offensive and defensive work without creating new risk.
Fine-Tune Drift Measured On Eval Sets
Fine-tuning to improve one task frequently regresses others. Without eval harnesses, the regressions ship. The measurable drift is larger than vendors admit.
Grounded Reasoning vs Hallucinated: Griffin AI vs Mythos
The difference between grounded reasoning and hallucinated reasoning is not eloquence — it's citation. A look at how Griffin AI anchors every claim.
MCP Server Capability Drift Detection
MCP servers do not stay still. Tool surfaces drift, scopes expand, and the server you approved is not the server in production. Here is how to catch that.
Prompt Injection From Research To Bug Bounty
Prompt injection started as a research curiosity. In 2026 it is a regular line item on bug bounty leaderboards, with payout norms, scope definitions, and a maturing triage culture.
Prompt Injection as a Supply Chain Risk: When AI Dependencies Are Exploitable
Prompt injection is not just an application vulnerability. When LLMs process content from the software supply chain -- package descriptions, README files, commit messages -- injection becomes a supply chain attack vector.
CAPTCHA AI: Can AI Solve CAPTCHAs, and What It Means for Security
Modern AI can now solve most image and text CAPTCHAs faster than people can. Here is what that breaks, why the old challenges are dying, and what bot defense looks like when the puzzle no longer works.
Guardrail Consolidation: Market Dynamics 2026
Two dozen AI guardrail vendors in 2023. A much smaller set in 2026. The consolidation has pattern — integrated platforms beat standalone guardrails.
Evidence-Attached Fix PRs Reviewers Trust
Reviewers trust fix PRs that come with evidence. Here is how to attach the right evidence so AI-assisted remediation gets approved on the first pass.
Breaking Change Awareness: Griffin AI vs Mythos
An auto-fix that closes a vulnerability and breaks the build is not a fix. Breaking-change awareness separates auto-PRs that ship from auto-PRs that get reverted.
How to Use AI for Stock Trading (and the Risks Nobody Mentions)
Using AI for stock trading means applying models to signals, screening, and execution, but the security and reliability risks are as important as the strategy. Here is a grounded look.
What Does MCP Stand For? Model Context Protocol and Its Security Model
MCP stands for Model Context Protocol, the open standard that lets AI assistants talk to your tools and data. Here is what it is and where the security risks live.
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