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.
A zero-day discovery pipeline is only as useful as the triage process around it. Here is what triage looks like when the pipeline gives engineers something they can defend.
A taint path is not an exploit. Here is how a zero-day pipeline turns a reachable flow into a defensible proof-of-concept payload without inventing a vulnerability.
The economics of zero-day discovery have been opaque for too long. Here is the actual cost structure of finding a real, defensible bug, and how to think about it.
Coordinated disclosure with open-source maintainers is a relationship business. Here is what makes it work in 2026, with the artefacts a modern pipeline gives you.
The Confluence broken access control zero-day from October 2023 hit thousands of self-hosted instances. A 2026 look at the exploit, the response, and the durable lessons.
How to talk to your board about zero-day discovery without overpromising. The metrics, the framing, and the slides that hold up under follow-up questions.
CWE-502 deserialisation chains are the canonical stress test for AI bug hunters. Why Griffin AI's grounded synthesis finds real chains and Mythos-class scanners hallucinate them.
What happens when the bug does not match any known CWE? A study of how grounded and pure-LLM scanners perform on genuinely novel vulnerability patterns.
Finding a bug is not the same as proving it is exploitable. How Griffin AI synthesises concrete exploit paths and why pure-LLM scanners rarely get past the sketch stage.
Weekly insights on software supply chain security, delivered to your inbox.