Kona for Agents

Real-Time Governance for AI Coding Agents

Your developers are using AI agents to write, run, and ship code. Kona for Agents inspects every action before execution, filters sensitive data before it reaches the model, and signs every event for audit.

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 MCP calls are inspected before execution. Allow, deny, redact, or escalate. Tool responses are filtered before they reach model context.

Cryptographic Integrity

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

Multi-Layer Detection

Combined pattern, semantic, and classifier-based detection running in parallel. AI arbitration activates only when signals conflict, eliminating false positives without inflating inference cost.

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

Visibility first, enforcement second. Start in observability mode to see what your developers and AI tools are actually doing. Layer in policy where the real risk lives. Most customers move from visibility to active enforcement within 60 days.

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.

Coding Tools

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.

Agent use cases

See how security, AI, and governance teams use Kona for Agents to govern coding agents, coding tool workflows, and agentic pipelines.

Govern Coding Agents

Control what Claude Code, GitHub Copilot, Cursor, and Gemini CLI can do before actions execute. Enforce policy over prompts, completions, tool calls, and agent-driven actions.

Secure Tool Calls and MCP Actions

Apply governance to MCP tool invocations, shell commands, web requests, and sensitive agent actions. Escalate high-risk operations to a human reviewer when needed.

Prevent Code and Secret Exposure

Stop agents from reading, editing, or exfiltrating sensitive files, credentials, and internal code without policy approval and audit visibility.

Audit Every Agent Session

Capture session lifecycle, command output, workspace context, and policy decisions in an investigation-grade trail so teams know exactly what the agent did.

FAQ

Common questions

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, before the first incident, not after.

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