Organizations in the Asia-Pacific region are rapidly adopting autonomous AI agents, transforming operations across sectors like finance and government. However, this digital shift brings significant cybersecurity challenges, particularly concerning the management of digital identities and access privileges for AI systems. Traditional security measures often fail to address the unique demands of autonomous agents, which need high-level access credentials, increasing the risk of credential sprawl and unauthorized access.
To mitigate these risks, experts advocate for cloud-first Privileged Access Management (PAM) frameworks built on zero-trust principles. Effective PAM should incorporate secrets management, endpoint privilege management, and connection management to secure both AI platforms and internal resources. AI also enhances security by analyzing access patterns and detecting anomalies, thus providing a real-time defense against potential breaches.
As the adoption of Agentic AI accelerates, unified identity and access management strategies, supported by AI, are crucial for organizations to address emerging cyber threats and thrive in this evolving landscape.
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