Opinion: AI-assisted attacks demand runtime behavioural detection and enforcement for applications and APIs

This is a vendor-style opinion article, not a vulnerability or incident report, and it names no CVEs or affected versions. It cites Anthropic◼'s 2026 analysis of 832 accounts banned for malicious cyber activity, noting that most activity was preparatory but the highest-risk actors used AI for autonomous execution, orchestration and real-time pivoting. The recommended defensive posture is to complement signature, WAF, schema and threat-intelligence controls with runtime behavioural detection, such as request sequence changes, repeated object access and unexpected endpoint movement, tied to graduated enforcement (block, rate-limit, restrict endpoints, tighten policy). It also stresses consistent coverage across hybrid multicloud and Kubernetes estates and closing API inventory gaps, citing 48% daily API updates against 19% with a fully automated inventory.

For security analysts · Written by AI from 1 source · Wrong?