Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Ask AI to Choose a prompt Write a TLDR of this post Explain the security risk Summarize what CISOs should know Every AI security framework names the risks you have to control. Zenity is built to implement those controls at runtime. Here's the 2026 OWASP Top 10 for LLM Applications, entry by entry, with the gaps marked honestly. Paste a booby-trapped instruction into a chat window, and nothing much happens.

Prompt injection has a CWE, and the two incidents everyone cites were not filed under it. That is not a clerical detail. A CWE ID is a claim about root cause, and every entry carries a mitigation table that follows from the root cause it names. When a record says CWE-1427, it is saying the product failed to neutralise input before building a prompt, and it is implying that neutralising the input is the fix.

A prompt injection test suite can only report on the payloads it contains. That sentence is the whole problem with the number most teams have. Somewhere in a ticket there is a scan result: a scanner threw several hundred probes at the endpoint and a percentage got through. The percentage is real.

The EU Cyber Resilience Act (CRA) introduces a 24-hour reporting requirement for actively exploited vulnerabilities from September 11, 2026. For companies selling products with digital elements into the EU, meeting that deadline will require more than compliance documentation — it demands fast vulnerability identification, clear ownership, reliable SBOM visibility, and a remediation process that can move quickly.

Periodic vulnerability scans are no longer a reliable security program for hybrid environments. NIST's guidance treats scanning as a recurring, risk-based control that should account for changing vulnerabilities, historical results, authenticated coverage, and correlations between findings over time (NIST vulnerability-scanning guidance). Industry practice is moving in the same direction.