Secure AI-Native Development
Enable developers to move faster with coding agents while continuously governing agent actions through runtime authorization and adaptive security.
Why Traditional Controls Fall Short
Coding agents are rapidly becoming part of the software development lifecycle. From Claude Code and Cursor to GitHub Copilot and autonomous engineering agents, organizations are enabling AI to write code, access repositories, invoke tools, interact with enterprise systems, and automate development workflows.
As adoption grows, traditional access controls and static guardrails struggle to provide the governance, visibility, and runtime controls required to safely operationalize coding agents at enterprise scale.
As adoption grows, traditional access controls and static guardrails struggle to provide the governance, visibility, and runtime controls required to safely operationalize coding agents at enterprise scale.
Fragmented Governance
Security controls are distributed across multiple tools and platforms, forcing teams to manage the same policy in different places and creating inconsistent enforcement.
Uncontrolled Agent Actions
Coding agents can access repositories, invoke tools, modify infrastructure, and perform sensitive operations without evaluating business intent, organizational policy, or runtime risk.
Limited Visibility
and Auditability
Organizations struggle to understand which agents took action, what prompted those actions, and whether they complied with policy across the development lifecycle.
A Unified Control Plane for Coding Agents
Reva provides a centralized authorization and governance layer that allows enterprises to define policy once and consistently govern coding agents across development environments, MCP ecosystems, enterprise applications, and cloud infrastructure.
Govern Runtime Agent Actions
Move beyond static permissions and continuously evaluate what agents are doing in real time. Reva ensures sensitive actions align with business intent, policy, and risk before execution.
Intent-Aware Authorization: Evaluate identity, intent, context, risk, and business policy before sensitive actions are executed.
Dynamic Runtime Enforcement: Govern repository access, MCP tool usage, infrastructure changes, terminal commands, and production interactions in real time.
Adaptive Human Oversight: Automatically allow, deny, modify, or require approval for high-risk actions based on business context and policy.
Unify Governance Across the Agent Ecosystem
Coding agents operate across a growing ecosystem of tools, platforms, and services. Reva provides a single control plane to govern them consistently from one place.
Single Policy Plane: Define policy once and consistently govern coding agents, MCP servers, enterprise applications, APIs, and cloud resources.
Consistent Cross-Platform Enforcement: Apply the same controls across Claude Code, Cursor, GitHub Copilot, development environments, and custom agent frameworks.
Centralized Policy Governance: Eliminate policy duplication, reduce operational complexity, and maintain
consistent controls across AI-native development workflows.
Design Secure Agents by Default
Security should accelerate development, not slow it down. Reva helps teams build secure agent workflows from day one through automated authorization design and policy generation.
AI-Assisted Policy Generation: Transform business requirements into authorization models, access relationships, and Policy-as-Code automatically.
Built-In Security Guardrails: Embed authorization guardrails, approval workflows, and least-privilege controls directly into agent workflows.
Policy Simulation and Testing: Test and simulate policies before deployment to identify gaps, reduce risk, and accelerate adoption.
Understand Every Agent Decision
When agents act autonomously, visibility becomes essential. Reva provides complete traceability into what happened, why it happened, and how each decision was authorized.
Agent Activity Traceability: Capture complete execution paths from user request to agent action, tool invocation, and downstream systems.
Unified Authorization Audit Trail: Correlate user intent, agent identity, policy decisions, and downstream actions into a single record.
Investigation and Compliance Readiness: Provide security and compliance teams with explainable decisions, forensic visibility, and governance reporting.
Scale AI-Native Development with Confidence
Accelerate
AI-Native Development
Enable developers to adopt coding agents faster without introducing manual security reviews or governance bottlenecks.
Establish Runtime Control
Ensure every agent
action is continuously evaluated against business intent, policy, and risk before execution.
Simplify
Agent Governance
Replace fragmented controls with a unified policy plane across coding agents, MCP servers, enterprise applications, and cloud infrastructure.
Improve
Audit Readiness
Provide complete visibility into agent decisions, tool usage, and downstream actions through a unified audit trail.
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