I am a SAP Expert and here's how AI can defend SAP security better against hackers (www.techradar.com)

Attackers have rapidly weaponized AI to automate reconnaissance, scan SAP landscapes at scale, analyze ABAP/JavaScript/kernel code for vulnerabilities, generate and test exploits with generative models, and automate lateral movement—dramatically lowering the expertise barrier and shortening time-to-compromise. That speed advantage has made traditional, manual SAP defensive practices inadequate: misconfigured Gateways, Message Servers, unpatched systems, and insecure custom code are now easy targets when probed by AI at scale. Defenders can flip the script by embedding AI into SAP security workflows for proactive vulnerability management, behavioral threat detection, and automated response/orchestration. Practical uses include large-scale static and dynamic scanning of custom ABAP for insecure patterns, automated patch-impact analysis and testing, anomaly detection in user and process behavior, prioritized contextual alerting, and automated lockdowns on privilege escalation—reducing dwell time from days to seconds. Success depends on hardening (secure interfaces, least privilege), disciplined patching, and secure coding practices, plus human oversight to counteract AI opacity and align with zero-trust principles. For the AI/ML community this signals a fast-evolving arms race: specialized models, explainability, robust datasets, and integration pipelines will be critical to build defenders’ precision, scale, and speed and ultimately restore the advantage to security teams and vendors.