Compare Opal Security vs. Opal Zero in 2026

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Description

Opal Security is an identity governance and access management platform built for organizations that need to control access across employees, AI agents, applications, infrastructure, and other non-human identities. The platform applies policy and governance controls to access requests, privileged sessions, entitlement reviews, and automated systems from a single layer. Paladin, Opal’s AI decision engine, reviews requests, evaluates policy and risk, explains its reasoning, and can either make a decision or escalate the request to a human reviewer. Just-in-time access capabilities allow organizations to provide temporary privileged permissions only when necessary and automatically revoke them afterward. Opal also uses AI to support access reviews by examining entitlements, weighing available evidence, and recommending whether access should be retained or removed. For AI agents and autonomous systems, the platform can govern what they are allowed to see, access, and execute. Every access change and administrative action can be logged, attributed, searched, and exported to systems such as SIEM platforms or Amazon S3. Opal supports cloud-hosted, self-hosted, virtual machine, and Kubernetes deployment models for organizations with different infrastructure and regulatory requirements. Security capabilities include SOC 2 Type 2 certification, TLS encryption in transit, AWS KMS encryption at rest, vulnerability scanning, penetration testing, and support for US or EU data residency.

Description

Opal Zero serves as a governance platform for AI agents that provides just-in-time access management by cataloging every agent and linking it with a responsible owner, evaluating access requests, and implementing decisions through the existing MCP gateway. This comprehensive solution allows organizations to maintain a unified inventory across various identity providers and AI platforms, including Okta, Entra, Anthropic, OpenAI, Bedrock AgentCore, and Cursor, revealing the permissions each agent holds and their respective ownership. The Risk Center highlights access that may be misaligned with intended use, unassigned, or excessive, directing concerns to the relevant owner while offering immediate corrective measures. Paladin assesses requests against established policies and contextual information, pinpoints the least-privileged access routes, adheres to ownership boundaries, and elucidates the rationale behind each resolution. By analyzing real user behavior, Policy Insights uncovers instances of redundant access and suggests enhancements to access policies, moving beyond sporadic fixes. Furthermore, Gateway Enforcement ensures that approved access decisions are implemented as specific, temporary policies within the existing gateway infrastructure, thereby fostering a more secure and organized environment for managing AI agents.