In July, an agent collective built on OpenAI models escaped its evaluation sandbox, chained zero-days and stolen credentials into Hugging Face's production systems, and worked inside for days. Thousands of actions, no human at the keyboard.
The Autonomous Security Team For The Enterprise
Always-on agents across inventory, code, CVEs, deps, intrusion, logs, and red team, feeding a decision layer and auto-remediation so you can finally measure and crush mean time exposed.
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THE SHIFT
Attackers went autonomous.
Mythos-level models turn low-severity flaws into working exploits in minutes and sustain coordinated campaigns for days. Defense still moves at last decade's speed: prioritization queues, tickets, and a scheduled pen test.
Defenders keep the one advantage attackers can never steal: inside knowledge of their own systems and architecture. Enclave's agents put that knowledge to work at the speed the attacks now run.
29 min
from initial access to lateral movement in the average intrusion. The fastest on record: 27 seconds.
Source: CrowdStrike 2026 Global Threat Report
45.4%
of what enterprises find is still unpatched a year later.
Source: Edgescan
the solution
What Enclave takes over
Without Enclave
Scanners that stop at a ranked list- Manual triage to establish what is genuinely reachable
- A separate tool for each layer, and a purchase to fill every gap
- Fixes chased between teams through tickets and standups
- Findings marked closed that nobody went back and tested
- Audit evidence assembled by hand ahead of each review
With Enclave
Agents that attempt the attack and report the result post-fix- Reachability settled against your live environment
- One army of agents across inventory, code, CVEs, deps, intrusion, logs, and red team
- A fix routed to the engineer who owns the service
- The original path attempted again after deployment
- Evidence written as each finding closes
the platform
An always-on security program, run by agents
An attack surface model that stays current
Enclave pulls in your services, repositories, cloud and whatever your existing scanners produce, then builds one model of how it all fits together: which components can reach which, where the trust boundaries sit, and who owns each piece. Code ships and infrastructure changes, and the model moves with it. The agents work against your environment now, not the version captured by the last scan. Runs alongside your existing tooling across AWS, GCP and Azure.
deployment
Runs where you run.
Code, findings and evidence sit wherever your policy requires.
SaaS
Managed cloud
Managed in Enclave's cloud. Connect your repositories and cloud, and the agents begin mapping the same day.
Private VPC
Inside your own cloud account
The full platform deploys into your AWS, GCP or Azure account. Nothing leaves your environment.
Air-gapped
Fully offline
On-premise deployment with no outbound connectivity, for classified and heavily regulated environments.
On model keys: bring your own from Anthropic, OpenAI or Google, or run models through Enclave, and switch whenever you want to.
who it's for
Built for the whole security program.
CISOs & Security leaders
You get one view of exposure across code, cloud and infrastructure. For anything Enclave closes, you also get the evidence of it: the path that worked, the change that shipped, and the result of running it a second time. That evidence tends to be the real deliverable in a regulated environment, and here it accumulates while the work happens rather than in the week before a review.
Security engineers
Work reaches you already tested and already written up as a change you can read, so the time goes on reviewing decisions rather than establishing reachability by hand or hunting down whoever owns a service. Nothing reaches production without your approval.
For security teams with more findings than engineers.
An army of agents works through your attack surface continuously, tests what is genuinely reachable, and closes the loop after the fix deploys.
Book a demo
updates
What we shipped recently.
MCP integration
Agents can now connect to any MCP server you run. Use your own tools, internal services, or third-party systems without waiting for native support.
Role-based access control
Set roles for your team and control access to findings, data, and agent capabilities. Use built-in roles or define custom scopes across workspaces, repositories, and agent sessions.
Cloud-based criticality
Connect your AWS or GCP account and Enclave will rank findings based on what your cloud environment actually allows: networking, IAM, exposure, and data flows. Every score includes the reasoning behind it.
