PlainID Introduces Policy Management for Agentic AI to Enhance Security with Identity-Based Controls

PlainID Launches Innovative Policy Management for AI Security



On May 28, 2025, PlainID, a leader in enterprise authorization and identity security, unveiled its latest offering aimed at enhancing the security of AI systems—Policy Management for Agentic AI. This innovative solution introduces identity-aware, policy-based access control tailored for the next generation of AI technologies. As organizations increasingly adopt AI and LLM-based systems, they face significant challenges in managing and securing the vast amounts of sensitive data being processed. Data leaks, compliance issues, and the potential for misuse present major risks for businesses committed to innovation.

With the rapid integration of AI into various sectors, the stakes have risen. Organizations are navigating complex regulatory environments concerning personal identifiable information (PII), intellectual property (IP), and other critical data types. The new Policy Management tool from PlainID offers organizations a way to govern their AI data more effectively, ensuring that every AI interaction adheres to approved policies while remaining compliant with relevant regulations.

"Our objective is to empower enterprises to securely govern their AI data, facilitating innovation without compromising security or compliance," remarked Gal Helemski, Chief Product Officer and co-founder of PlainID. This statement captures the ethos of the company as it seeks to provide solutions that balance the need for innovation with stringent security requirements.

The features of the Policy Management for Agentic AI include:
  • - Identity-Aware Control: Enables organizations to enforce access policies based on both human and non-human identities, ensuring that only authorized entities can access sensitive data.
  • - Dynamic, Fine-Grained Policies: Provides the ability to apply adaptable controls for every interaction made by AI agents with data and services, ensuring thorough oversight.
  • - Centralized Policy Management: Streamlines the management and governance of policies via a unified interface, making control easier for enterprises.
  • - Seamless Integration: Facilitates compatibility with major AI platforms and orchestration frameworks, avoiding disruption in ongoing operations.
  • - Zero Trust Alignment: Guarantees that AI operations align with existing enterprise security and compliance protocols right from the start, enhancing overall security posture.
  • - Auditability: Offers full visibility into AI decision processes, access attempts, and policy outcomes, which is vital for accountability and compliance.

The increasing reliance on AI systems necessitates robust strategies to protect against misuse while fostering innovation. Lack of governance can lead to significant delays in AI adoption and the potential for auditing failures. By employing PlainID's new Policy Management, organizations can mitigate these risks and ensure their AI deployments remain trustworthy.

In conclusion, the introduction of Policy Management for Agentic AI by PlainID represents a significant step forward in securing enterprise data against identity-centric threats. As businesses continue to harness the power of AI and automation, such tools become indispensable for maintaining control and compliance in a fast-evolving landscape of technological advancements. For more information on how PlainID's solutions safeguard enterprise data, visit PlainID.

Topics Consumer Technology)

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