AI can significantly strengthen SAP security by improving threat detection, automating analysis, and reducing manual effort, but it also empowers attackers with more sophisticated and scalable attack techniques. [White+Pape...requisites | PDF]
Blind trust in AI contradicts zero‑trust security principles, making transparency, explainability, and human oversight essential to avoid manipulation, regulatory risk, and unintended outcomes.
AI‑driven SAP security only works effectively when key prerequisites are met, especially system hardening, timely patching, reduced attack surface, and cleansing vulnerable custom code.
For many years, Artificial Intelligence has been a significant topic, finding applications in numerous industries. With the release of OpenAI’s GPT-3 language model, we have reached a significant milestone in the evolution of AI. This model can understand and generate human-like text with remarkable accuracy. Corresponding to its adoption, from January to February2023, Darktrace researchers observed a 135% increase in “novel social engineering attacks.
As AI continues to advance, it has the dangerous potential to impact the SAP security threat landscape.
The use of AI in cybersecurity is becoming increasingly popular as it offers a range of benefits, from automation to predictive analysis, to defenders (and, unfortunately, to attackers alike!)