Reva AI

Reva AI is a unified authorization-governance platform for human users, AI agents and cloud-native workloads. It delivers runtime adaptive decisions, policy engineering and full audit trails.

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unified authorization managementpolicy as codeCedar AVP policy governanceruntime adaptive authorizationAI agent access controlRAG permission-aware retrievalzero standing privilegeaccess control audit trail

Features of Reva AI

Single policy control plane for design, publish, enforce and govern.

Runtime authZ decisions using identity, behavior, context and risk signals.

Least-privilege & zero standing privilege with dynamic down-scoping or block.

AI-assisted policy authoring, testing and simulation before release.

Native support for Cedar, AVP, OPA—no custom auth logic needed.

Built-in approval flow, versioning and change tracking for fast rollback.

Automated audit logs and observability to trace every decision.

Shadow AI and unmanaged-asset discovery to close governance gaps.

Access-graph view showing who accessed what, when and why.

Use Cases of Reva AI

Centralize scattered app-level authorization rules into one policy model.

Apply fine-grained, dynamic permissions when AI agents call tools or APIs.

Inject identity-aware authZ into RAG retrieval to curb over-privileged reads.

Let dev teams simulate and pre-validate policies before feature launch.

Let security monitor privilege drift and block anomalous access in real time.

Give auditors ready-made reports from approvals, versions and change logs.

Manage human, service and workload identities across cloud-native stacks.

Inventory AI assets and map access paths during Shadow-AI discovery.

FAQ about Reva AI

QWhat is Reva AI?

Reva AI is a unified authorization-governance platform that manages access policies and runtime decisions for humans, AI agents and cloud workloads.

QWhich access-control problems does it solve?

It fixes fragmented rules, static authZ that can’t adapt to dynamic AI, weak audit trails, privilege drift and hard-to-spot escalation paths.

QWhich policy engines are supported?

Public info lists Cedar, AWS AVP and OPA, all integrated for cloud-native and AI use cases.

QHow do I start rolling it out?

Typical path: inventory assets & access paths → standardize policies → wire into runtime → continuous governance & audit.

QDoes it cover AI agents and RAG?

Yes—permission controls for agent toolchains and permission-aware retrieval in RAG pipelines.

QIs full audit and change tracking included?

Yes—approval flows, versioning, change logs and automated audit reports are built in.

QWho should use Reva AI?

Security & compliance, platform engineering, app-development teams, and any org governing AI-agent access.

QHow can I get pricing or editions?

The material focuses on capabilities; contact the vendor for pricing, tiers and procurement details.

QIs Reva AI a compliance-certification service?

It supplies authorization governance and audit evidence. Certification still requires your own implementation plus external assessment.

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