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.

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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.

What is it?

Agent defense and response for Claude Code, Codex, Cursor, Copilot, Antigravity, and more.

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.

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.

Defense in depth illustration with Human Layer, Agent Layer, and System Layer stacked as protected security surfaces
Defense model: follow human requests, agent actions, and system effects across the full coding session.
Gensee Crate dashboard overview of agent activity, security alerts, and system health
Product view: agent activity, security alerts, and system health in one operational dashboard.
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.

Long-horizon agent risk timeline showing Session 1 planting memory or skills, Session 2 ordinary agent work, and Session 3 blocked system action
Risk lineage: connect persistence planted in one session to unsafe actions triggered days later.
Gensee Crate Today's Highlight view summarizing sessions, tool calls, files, and alerts
Product view: daily sessions, tool calls, file activity, and alerts summarized for enterprise review.

A long-horizon failure

  1. 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.

  2. 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.

  3. 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.

Transactional runtime diagram showing main workspace forking into parallel agent runs, followed by inspection, merge of approved changes, or rollback of unsafe state
Transactional runtime: fork agent work, inspect outcomes, then merge approved changes or roll back.
Gensee Crate alerts table showing policy decisions, blocked actions, affected paths, and timestamps
Product view: policy decisions, blocked actions, affected paths, and timestamps for investigation.
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

Baseline75%
With Gensee93.8%
18.8 pt lift

Long-horizon tasks

Baseline65.4%
With Gensee100%
34.6 pt lift

Prompt injection

Baseline77.8%
With Gensee93.5%
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.

Distributed Gensee Crate setup with developer laptops running AI Agent and Crate Sidecar, connected to an MCP Skills Harness Gateway, Company Policy, and Gensee Dashboard
Deployment model: connect developer-side enforcement with company policy, skills, and enterprise telemetry.
Gensee Crate feedback view showing human review verdicts used for policy tuning
Product view: human review verdicts feed policy tuning and response workflows.
01

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.

02

Engineering environments

Designed for where coding agents actually run: developer machines, cloud instances, and managed agent runners.

03

Sidecar enforcement

Observe and interpose around tools, files, network, execution, memory, skills, and artifacts without sitting in the user's way.

04

Unchanged developer/user experience

Targets low false positives and interactive latency, so protection stays practical for real coding sessions instead of slowing developers down.

05

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.

Layered OWASP and ASI threat map showing Gensee Crate defense coverage across model, endpoint, identity, and enterprise risks
Coverage map: runtime enforcement grounds coding-agent actions in system events; enterprise deployment adds identity, policy, monitoring, and evidence.
Gensee Crate Today's Highlight view showing alert and tool usage breakdowns
Product view: daily agent activity, alert severity, and tool usage summarized for enterprise review.

Enterprise control plane

Centralize company-wide policy, dashboards, audit timelines, telemetry, and evidence across developer machines, cloud instances, and managed agent runners.

Company policy Dashboards Audit timelines Telemetry Evidence Managed 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.

Endpoint Identity MCP SIEM Code hosts Developer workflows
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.

Book a demo Open Source