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.
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-tuning to improve one task frequently regresses others. Without eval harnesses, the regressions ship. The measurable drift is larger than vendors admit.
Gemini on-device models are fast and cheap. For the developer-tool layer, they're useful. For the engine-plus-LLM layer, on-device is not the right fit.
The difference between grounded reasoning and hallucinated reasoning is not eloquence — it's citation. A look at how Griffin AI anchors every claim.
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 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 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.
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