What is it?
Agent defense and response for Claude Code, Codex, Cursor, Copilot, Antigravity, and more.
Gensee Crate
Coding-agent defense and response
Enterprise runtime defense for AI coding agents.
Gensee Crate protects Claude Code, Codex, Cursor, Antigravity, and Copilot coding environments with long-horizon runtime agent defense, transactional workspaces, and customized deployments for your existing security and developer practices.
Prevent earlierbefore unsafe action
Long-horizonfull coding sessions
Transactionalfork, merge, rollback
Enterprise fitcustom integrations
Developer environmentsRepos, terminals, credentials, MCP tools
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Long-horizon defenseDetect unsafe multi-step behavior
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SidecarWorks with unmodified coding agents
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Defense in depthRequests, tools, memory, files, network, processes
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Transactional runtimeWhole-workspace fork, merge, rollback
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Enterprise integrationsEndpoint, identity, MCP, security tooling
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Coding agentsClaude Code, Codex, Cursor, MCP
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Customized deploymentsFit existing security and developer practices
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Developer environmentsRepos, terminals, credentials, MCP tools
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Long-horizon defenseDetect unsafe multi-step behavior
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SidecarWorks with unmodified coding agents
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Defense in depthRequests, tools, memory, files, network, processes
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Transactional runtimeWhole-workspace fork, merge, rollback
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Enterprise integrationsEndpoint, identity, MCP, security tooling
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Coding agentsClaude Code, Codex, Cursor, MCP
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Customized deploymentsFit existing security and developer practices
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Quick answers
Gensee Crate protects enterprise coding-agent workflows.
Gensee Crate helps enterprises safely adopt AI coding agents in real developer environments, where agents work across repos, terminals, credentials, files, package managers, MCP tools, and long-running engineering sessions.
How is it different?
Long-horizon defense plus transactional workspaces for full-session protection and safe rollback.
What risks?
Unsafe multi-step behavior, credential exposure, risky commands, policy bypass, and delayed side effects.
How does it run?
Customized deployments that fit each company's security stack, developer workflow, and agent practices.
Inside the control plane
From activity to explainable response.
Follow a coding-agent workflow from the first operational signal to the policy that governs what can happen next.
See agent activity as it unfolds.
Sessions, requests, tool activity, and security signals arrive in one operational view so unusual behavior stands out without losing the surrounding context.
Runtime evidenceSignal detected
Put every action back in order.
The timeline preserves what each agent attempted, which tools it invoked, and how long work ran across concurrent sessions.
Ordered by sessionContext retained
Fork, inspect, and merge agent work safely.
Transaction dependencies expose every branch and merge, so teams can keep validated work and discard risky changes before they reach the source workspace.
Fork and validateSafe merge path
Follow risk across artifacts.
Lineage connects agents, files, generated artifacts, and production state so teams can see where a sensitive output came from and what it influenced.
Artifact relationshipsOrigin resolved
Turn company policy into runtime control.
Resource limits, network boundaries, and approval rules meet the action before it changes files, reaches external systems, or affects production.
Enterprise guardrailsPolicy enforced
01 · Long-horizon defense
Prevent unsafe behavior across the full coding session.
Coding-agent risk is rarely just one prompt. Gensee Crate follows the path from user request to tool call, command, file access, credential use, network activity, and later side effects so unsafe multi-step behavior can be stopped before harm occurs.
02 · Cross-session risk
The dangerous action may happen three sessions later.
Agent risk is not always a single bad request. It can be planted in memory, hidden in a skill, carried through an artifact, and triggered days later by a benign-looking task.
A long-horizon failure
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Session 1 Persistence is planted.
A web page, repo, or dependency convinces the agent to save a helpful memory, modify a skill, or leave behind a shell helper.
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Session 2 The user asks a normal task.
The agent returns to the project, reads local context, invokes tools, and unknowingly follows the poisoned instruction path.
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Session 3 Side effects appear.
A file is staged, a secret is touched, a process runs, or a network request leaves the machine. A single-session scanner sees only the final action.
How Crate defends
Lineage across sessions.
Crate links requests, memories, skill edits, tool calls, artifacts, process launches, file effects, and network activity into one policy-aware trace.
Persistence-aware policy.
Memory writes, skill changes, generated scripts, hooks, and executable artifacts become policy surfaces, not invisible agent state.
Explainable response.
When Crate blocks or asks for approval, teams can see the chain that made the action risky, not just the last command.
03 · Transactional runtime
Fork, inspect, merge, or roll back whole workspaces.
Agents can explore multiple approaches in isolated managed environments before selected changes are promoted back to the main workspace. Risky or speculative work can be discarded without leaving the developer environment in an unsafe state.
Whole-workspace fork
Create parallel coding environments with repo state, agent context, files, and runtime workspace state.
Parallel exploration
Let agents test several implementation paths at once without committing every attempt to the main workspace.
Inspection before promotion
Review agent changes, behavior, and policy events before deciding what should move forward.
Merge or rollback
Promote selected work or discard unsafe speculative state when policy or review catches a problem.
Early benchmark signal
Higher defense rates across agent threat types.
Preliminary AgentCanary Benchmark results show Gensee Crate improving defense rate across threat types.
Memory poisoning
18.8 pt liftLong-horizon tasks
34.6 pt liftPrompt injection
15.7 pt lift
Runtime overhead
0.6%-1.2%
10ms-400ms per request
* Results tested on MacOS running Claude Code with Qwen-3.5-397B model.
04 · Enterprise deployment
Runs beside the coding agents teams already use.
Gensee Crate works with the coding agents and developer environments teams already use, without forcing enterprises to rebuild their agent stack around a security SDK.
Unmodified agents
Start with Claude Code, Codex, Cursor, and MCP-style tool use as they run today, instead of rebuilding the agent stack around a security SDK.
Engineering environments
Designed for where coding agents actually run: developer machines, cloud instances, and managed agent runners.
Sidecar enforcement
Observe and interpose around tools, files, network, execution, memory, skills, and artifacts without sitting in the user's way.
Unchanged developer/user experience
Targets low false positives and interactive latency, so protection stays practical for real coding sessions instead of slowing developers down.
Enterprise path
The same runtime layer feeds company-set policy, dashboards, audit timelines, identity, endpoint tooling, MCP control, SIEM, and internal developer systems.
Market signals
Early demand for coding-agent runtime defense.
Enterprise AI and security teams are asking for defenses that understand coding-agent sessions, prevent unsafe multi-step behavior, and fit existing engineering practices.
Enterprise demandDeep-stack, long-horizon defense
Research ecosystemEigentAI, CamelAI, UCSD
Coding-agent workflowsClaude Code, Codex, Cursor
Transactional runtimeFork, merge, rollback
Enterprise signal
“We seek solutions from GenseeAI for in-depth, long-horizon defense for our company-wide AI agent system.”
AI Security Team from a hyperscale IT company
Research and partner network
GenseeAI partners with EigentAI and CamelAI, is backed by research from UCSD WukLab, with venture backing from TSFV.
Enterprise control plane
Deploy agent safety across the environments teams already use.
Gensee Crate combines long-horizon defense, transactional workspaces, and enterprise controls for company-wide AI coding-agent adoption.
Enterprise control plane
Centralize company-wide policy, dashboards, audit timelines, telemetry, and evidence across developer machines, cloud instances, and managed agent runners.
Customized deployment
Integrate Gensee Crate with each company's endpoint, identity, MCP, SIEM, code-hosting, and developer workflow practices instead of forcing a new agent stack.
Get started
Secure the coding agents your team already uses.
Book a demo to see Gensee Crate around Claude Code, Codex, Cursor, MCP tools, credentials, terminal commands, transactional workspaces, and company-specific security workflows. The open-source endpoint safety tool is available on GitHub for local trials.