The rise of agentic AI represents a fundamental shift in cybersecurity dynamics. Unlike traditional tools, agentic AI can operate independently, potentially executing sophisticated attacks without human direction. This evolution presents threats such as malware that autonomously evolves and AI-powered botnets that can strategize in real time, increasing the complexity of cybersecurity defenses.
Currently, three critical gaps in AI security governance need urgent attention. First, the integrity and security of AI supply chains are questionable, raising concerns about the trustworthiness of AI systems. Second, outdated regulations fail to address the unique challenges posed by AI, leaving a vacuum in accountability and standards. Lastly, a lack of collaboration between AI developers and cybersecurity experts hampers effective risk management. A coordinated effort is necessary to address these vulnerabilities, ensuring that the development of agentic AI incorporates robust security measures from the onset.
👉 Pročitaj original: CIO Magazine
