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Agentic AI Recasts Cyber and AppSec With Autonomous Action, Elevating Data Protection Risks

Organizations are shifting from pilots to targeted deployments that require human oversight with auditable controls.

Overview

  • Unlike generative systems that respond to prompts, agentic AI plans, decides, and executes tasks autonomously within defined goals.
  • Autonomous access to sensitive business data heightens exposure under GDPR, HIPAA, and CCPA, increasing the need for traceable data use.
  • Attackers could weaponize agents for rapid phishing, fraud, or denial-of-service, while defenders test always-on agents for scanning, anomaly detection, and real-time countermeasures.
  • In application security, practitioners are exploring continuous code monitoring and potential automated fixes using code property graphs, which require rigorous verification to prevent new flaws.
  • Experts call for clear accountability, identity-based permissions, human-in-the-loop control, and adversarial hardening because a compromised agent can cause damage quickly.