Reva: Authorization Management Platform for Humans and AI
Reva helps organizations manage access policies across cloud-native applications and AI workloads. It is designed for buyers seeking to reduce standing privileges and centralize authorization governance.
At a glance
- Category
- Security
- Best for
- Enterprise software companies, CISOs, CTOs, Platform engineers, Cloud-native organizations
- Pricing
- Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
- Key use cases
- Securing Agentic AI Workloads, Cloud-Native Access Control, SaaS and Data Platform Governance, Automated Policy Certification
- Integrations
- AWS IAM, Amazon Verified Permissions (AVP), OPA, Cedar, CAEP
- Official website
- reva.ai
Reva is an Authorization Management Platform (AMP) designed for access control in AI-first and cloud-native environments. The platform is designed to move authorization away from hardcoded application logic and into a centralized control plane, supporting the management of both human and non-human identities.
The software is built for enterprise-scale operations, specifically targeting CISOs, CTOs, and developers who need to enforce least-privilege access across APIs, Kubernetes, and AI agent workloads. It supports open standards like Cedar and OPA to help reduce vendor lock-in.
Key capabilities include policy design through a no-code interface, authorization enforcement via a trust gateway, and the discovery of ungoverned AI workloads. By centralizing these controls, the platform helps teams manage complex permission structures without manually updating individual application code.
Buyers should confirm if their current infrastructure aligns with supported standards, such as AWS IAM or OPA, and evaluate their specific scale requirements.
Key Features
A hub for designing, testing, and governing authorization policies using a no-code designer for business users and a code editor for developers.
Enforces authorization across applications, APIs, and AI agents using real time risk signals.
Provides behavior analytics and explainable decision logs to support policy optimization and threat detection.
A unified access graph that aggregates identity and resource metadata to help visualize access paths and detect over-provisioning.
Supports the design and governance of IAM, SCPs, AVP, and AgentCore policies from a single interface.
Monitors usage to identify and remove unused permissions, supporting a zero-standing-privilege model.
Use Cases
Applying dynamic authorization to AI agents based on context and intent at runtime to help prevent unauthorized data access.
Centralizing runtime policy control across microservices, Kubernetes, and APIs as an alternative to hardcoded authorization.
Discovering native authorization models across SaaS tools and unifying them into a governable framework.
Certifying the logic of access policies to help reduce the manual effort required for user access reviews and audits.
Best For
Integrations
Pricing
Pricing was not clearly available from the provided evidence. Buyers should confirm current pricing on the vendor website.
FAQ
Reva centralizes the design, governance, and enforcement of access policies across applications, APIs, and AI agents, moving authorization from hardcoded logic to a runtime control plane.
It is designed for enterprise-level software companies, specifically for CISOs, CTOs, and developers managing complex cloud-native or AI-driven architectures.
It provides runtime authorization for AI agents, using context and intent to evaluate access requests and applying guardrails to help prevent data leakage or prompt injection.
Source category: Security
Source subcategory: Identity & Access Management
