Kona for Agents

Real-Time Governance for AI Coding Agents

Your developers are using AI agents to write code. Kona for Agents gives your organization visibility, policy enforcement, and cryptographically signed evidence before those agents execute risky actions.

VS CodeClaude CodeGitHub CopilotCursorGemini CLI

Govern agents before execution, not after the damage

KonaSense sits between the agent and your development environment. Every action can be inspected, signed, and evaluated against policy in real time.

Universal Agent Coverage

One binary. Four major coding agents. Drop-in installation without modifying the agent, source code, or developer workflow.

Real-Time Policy Enforcement

Shell commands, file operations, web fetches, and tool calls are evaluated before execution so teams can allow, deny, or escalate in real time.

Cryptographic Integrity

Every governed event is wrapped in an ECDSA-signed envelope so you get tamper-resistant evidence, device identity, and non-repudiation.

Complete Observability

Kona for Agents captures session lifecycle, command output, policy hits, working directory, and environment context for each governed agent session.

Kona for Agents

See what governance looks like in practice

Walk through a live interactive demo of Kona for Agents. See session timelines, policy decisions, cryptographic integrity, and coverage dashboards in action.

Built for the enterprise rollout path

Start with Kona for Browser for low-friction visibility. Activate Kona for Agents when you need real-time governance across developers, agents, and automation.

BYOK for Kona for Agents

Use your own LLM keys for AI-driven governance features such as policy recommendations, classification, and alerting, while keeping agent enforcement and telemetry inside the KonaSense control plane.

CLI agents

Govern CLI-native coding agents at the point where they invoke shell, file, web, and tool actions.

IDE plugins

Extend governance into VS Code and Cursor workflows where developers accept completions, chats, and agent actions.

Agentic pipelines

Apply the same policy model to automated agent pipelines and backend execution flows.

Control the agents your developers already use

AI agents are becoming the default way code gets written. The question is not whether your teams will use them. It is whether you will have visibility and control when they do.

Allow, deny, or escalate per operation
Session-level telemetry and audit trail
Cross-platform rollout path
Zero-trust event integrity