Plain-English writing on vulnerabilities, compliance, and the cost of doing nothing.
No "thought leadership" filler. Just real analysis on what is breaking, who is paying for it, and how teams without a security department can keep up.
The compounding cost of one ignored vulnerability.
Last year, 28,961 new CVEs were published. Most teams patched fewer than 30%. The math for what that backlog costs, in breach probability, in fines, in customer churn, has stopped being abstract. Here is what the numbers actually say, and what continuous scanning changes about them.
The compounding cost of one ignored vulnerability
28k new CVEs last year, 76% of breaches had a patch available, and the average mid-size company is carrying months of unpatched exposure. The economics of doing nothing have changed.
Everyone is building with AI. Almost no one is protecting it.
Prompt injection, model theft, leaked API keys in inference layers, training-data poisoning, the attack surface around AI shipped to production is larger than the surface AI itself protects.
GDPR is not a one-time exercise. Here is how to stop treating it as one.
Every new feature is a new processing activity. Every new vendor is a new sub-processor. SMBs cannot afford a full-time DPO and a quarterly external audit. We rebuilt the workflow.
Cutting mean time-to-patch from 11 days to 2.4: what changed
A field report on the workflow shifts that moved patch latency below industry baseline. Hint: it was not the tools, it was the framing.
Building a 300k-record vulnerability database that stays current
Inside the ingestion strategy, the source-by-source feed model, and the version-matching approach that keeps false positives below 4%.