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.
Deep dives, practical guides, and incident analyses from engineers who build Safeguard. No fluff, no vendor FUD — just what you need to ship secure software.
Fine-tuning to improve one task frequently regresses others. Without eval harnesses, the regressions ship. The measurable drift is larger than vendors admit.
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.
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.
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.
Webmail auth spans two very different problems: proving who a user is when they sign in, and proving a message really came from the domain it claims. Both matter for security.
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.
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.
Two dozen AI guardrail vendors in 2023. A much smaller set in 2026. The consolidation has pattern — integrated platforms beat standalone guardrails.
The Model Context Protocol shifted agent integration from custom glue to a standard surface. Authorization patterns that work, and the ones that keep biting teams.
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