Say yes to coding agents.
Not to data leaks and destructive actions.
Discover your agents, MCP servers, and skills. Govern approved tools. Enforce runtime controls across every agent.
Coding agents don't just write code. They take action.
It's not just engineering anymore. Teams across the org point coding agents at real systems to get real work done.
Debugging infrastructure
An engineer points an agent at a failing service. It SSHs into production, tails logs, and restarts processes.
Analysing data
An analyst asks why revenue dipped. The agent queries the production database, joins customer tables, and exports the results.
Cleaning the pipeline
A RevOps lead has an agent tidy the CRM. It connects over MCP, reads every account, and updates thousands of records.
Reconciling the books
A finance analyst runs an agent to close the month. It pulls from the payments system and exports statements.
Every one of these carries the full blast radius of the person running it.
A tricked agent can access anything its user can.
You can't ban agents that are already everywhere. You can control their actions.
Guardbase is the runtime security layer for coding agents. Teams keep moving, and security stays in control.
Every agent, every tool, every action, under control.
Policies you can enforce at the action level.
Set policies per user or group, enforced across every AI agent and synced with your identity provider.
What data agents may process
Scope agents to the data they're allowed to touch. Block access to secrets, PII, and sensitive files.
Where data is allowed to go
Control which destinations agents can reach, and stop data from leaving for untrusted endpoints.
Actions after untrusted input
Once an agent consumes untrusted web or tool content, require approval before sensitive actions.
Which commands can run
Block destructive or risky shell commands before they execute, not after the damage is done.
What gets redacted
Redact secrets and PII from what agents see and send. Sensitive data stays protected, and agents keep doing their job.
When humans step in
Require human approval for high-risk actions, decided by context and risk, not a fixed list.
Built for how agents actually fail.
Catch what static permissions miss
Static permissions can't judge an action. Guardbase evaluates every action in context: who's running the agent, what it just consumed, where data is headed, how risky the command is. The same action can be fine in one session and an incident in the next.
Govern every surface, not just MCP
MCP is one doorway. Agents also act through the shell, the filesystem, CLI tools, skills, and the web. Guardbase governs actions across all of them, so control doesn't end where MCP does.
Assume prompt injection will happen
Guardbase is built on the assumption that agents will be tricked. When it happens, your policies still hold: deterministic rules, enforced outside the agent, that no injected prompt can talk their way past. Prompt injection detection adds an extra layer, but nothing depends on it catching everything.
Deployed with the tools you already run.
Everything runs in your environment. No changes to your agents, low-latency decisions before every action, mapped to your identity provider.
Agent Inventory
A lightweight script rolls out through your MDM and inventories every agent, MCP server, skill, and configuration across your fleet. You get a live map of your footprint and its blast radius.
Runtime Control
Agent actions route through Guardbase using each agent's native hooks, with no changes to the agent itself. Every action is checked against policy and context before it runs: allow, block, redact, or ask the user.
MCP Gateway
One governed path to remote MCP servers. Security teams decide which servers are available, and to whom, so teams get sanctioned tools without opening the door to everything.
Works with the agents you're already running.
Ready for your security review.
Self-hosted or managed
Run Guardbase as managed cloud or fully self-hosted. Nothing has to leave your environment.
SOC 2 Type II
In progress, with the observation period starting soon.
European vendor
Incorporated in the Netherlands and GDPR-native by design, wherever you operate.
Backed by operators
Backed by security and infrastructure leaders from Darktrace and Deutsche Bank.
Common questions.
No. AI governance defines what should be allowed. Guardbase is the runtime enforcement layer that controls what coding agents can actually do inside engineering.
MCP is one doorway. Agents also use the shell, filesystem, web, CLI tools, and skills. Guardbase discovers, monitors, and controls the whole agent operating environment, not just MCP.
No. Developers keep their agents and workflows. Guardbase controls the risky actions, so teams stay productive while security stays in control.
Native settings are static and tool-specific: an on/off switch for one agent. Guardbase enforces the same policy across every agent and surface, MCP and non-MCP alike, and decides in context, based on the action, the data, and the destination, not a fixed allowlist.
IAM controls what a user can access. It doesn't decide whether a non-deterministic agent acting on their behalf should take a specific action in a specific context. Guardbase controls the action itself.
Guardbase runs in your environment and makes deterministic, auditable decisions at runtime, before actions execute. It secures agent actions, not the code they generate.
Say yes to coding agents.
See every agent, every tool, and every action under control. In one demo.