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Ask any security engineer what they actually think about their vulnerability scanner, and you will get a version of the same answer. They trust maybe 20% of what shows up in the patching queue. The rest gets a suspicious glance, and a slow death in a backlog.

That is the real cost of a false positive. It is quiet, it compounds, and it hollows the to...


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Most engineering teams believe they solved secret scanning the day they flipped on GitHub’s default toggle, but the game doesn’t stop there. In many cases, an overlooked leak can spiral into a severe data breach, especially when an LLM is connected to sensitive data, internal APIs, or production infrastructure.

Exposed credentials are hot and always in demand, and t...


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Have you ever tried to answer “Is this container safe to run?” If yes, then you know how tricky that question is. Securing containers is one of the toughest jobs in security, and hunting vulnerabilities across an estate of them gives security folks the same vibe as hunting in the fifth domain.

Container vulnerabilities can live almost anywhere, from the image layers...


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Somewhere right now, someone is spinning up a fresh Kubernetes cluster, feeling pretty good with a basic firewall, skimmed a hardening guide, and maybe even applied a few CIS benchmarks. What could possibly go wrong?

Roughly 18 minutes. That’s the average time before a newly exposed Kubernetes cluster receives its first malicious probe or attack attempt. So there’s ...


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Ever wonder why a codebase that passes every test in CI still shows up in a breach report six months later? Simply put, tests check whether code works. They rarely check whether code can be abused.

Say you build a house with a solid lock on the front door but leave a window unlatched around back. The house still works as a house. It just isn’t secure, and nobody not...


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