“If a company’s AI agent leverages outdated or inaccurate data, AI hallucinations might fabricate non-existent vulnerabilities or misinterpret threat intelligence, leading to unnecessary alerts or overlooked risks. Such errors can divert resources from genuine threats, creating new vulnerabilities and wasting already-constrained SecOps team resources,” said Harman Kaur, VP of AI at Tanium, told Help Net Security.
One emerging concern is the phenomenon of package hallucinations, where AI models suggest non-existent software packages. This issue has been identified as a potential vector for supply chain attacks, termed “slopsquatting.” Attackers can exploit these hallucinations by creating malicious packages with the suggested names, leading developers to inadvertently incorporate harmful code into their systems.
Källa: AI hallucinations and their risk to cybersecurity operations – Help Net Security
