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.
The OWASP AI Top 10 is the community list of the most critical security risks in LLM applications, led by prompt injection. Here is what each entry means and how to defend against it.
AI-powered cybersecurity means using machine learning and language models to detect, triage, and remediate threats faster than rule-based tooling alone. Here is where it genuinely helps and where the hype outruns reality.
ReversingLabs disclosed two malicious Hugging Face models that evaded Picklescan by using broken 7z-packed PyTorch archives. We unpack the technique.
Open-weight models give you total deployment control. They also give you a new supply chain to secure. The tradeoff is worth being explicit about.
The honest answer to "when does this pay back?" is where sales decks and procurement reality diverge. Griffin AI and Mythos-class tools have different ROI shapes.
An AI Center of Excellence is not a committee. It is the function that makes AI adoption coherent across business units. The blueprint is specific.
Claude's citations feature makes the model say where its claims come from. Griffin AI uses it for advisory workflows where traceability is the entire point.
A release gate that fails on regression is the most important operational control for AI-for-security tools. The design patterns are specific and worth copying.
System prompts that scaffold AI assistants are now load-bearing enterprise assets. A framework for versioning, reviewing, and governing them as seriously as source code.
Weekly insights on software supply chain security, delivered to your inbox.
Your first fix PR is minutes away.
No sales call required, even your agent can complete the purchase over MCP.
