AI agents use spike_rollback to create or update resources in Hedgehog — usually the action step of a workflow, after the agent has gathered context. Every call changes real data in your Hedgehog environment.
Rollback reverts spike state to a known prior checkpoint, which is a write operation that modifies investigation data. It is reversible (can rollback again or forward), so it does not meet the Destructive threshold of irreversible deletion.
From the tool's definition Tool name 'spike_rollback' and description 'Rollback spike to a previous checkpoint' indicate reverting spike state to an earlier point.
Attacks that exploit this kind of access
Rollback spike to a previous checkpoint. It is categorised as a Write tool in the Hedgehog MCP Server, which means it can create or modify data. Consider rate limits to prevent runaway writes.
Register the Hedgehog MCP server in PolicyLayer and add a rule for spike_rollback: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches Hedgehog. Nothing to install.
spike_rollback is a Write tool with medium risk. Write tools should be rate-limited to prevent accidental bulk modifications.
Yes. Add a rate_limit block to the spike_rollback rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for spike_rollback. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
spike_rollback is provided by the Hedgehog MCP server (jpalmerr/hedgehog). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Every MCP server has a record like this.
Type a name, get the same breakdown: verified identity, auth posture, risk grade, capabilities, recommended policy.
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