The integration of AI into application security aims to enhance vulnerability detection and streamline operations, with 90% of surveyed participants either employing or considering AI. Despite its advantages, particularly in reducing manual effort and improving triage, approximately a third of issues identified by AI lack human review. This raises questions about the reliability of AI results and the balance between speed and security.
Survey data indicates a significant number of companies face challenges such as integration complexity, trust in AI outputs, and regulatory concerns, leading to reported false positives. While some organizations implement oversight measures like model vetting and auditing, the level of these practices remains inadequate given the fast-paced development environment. Most respondents express a desire for AI tools to improve in accuracy, explanation capabilities, and contextual awareness, indicating the potential for further advancements in the field of AppSec.
👉 Pročitaj original: CIO Magazine
