Proven by exploitation. Not flagged as a maybe.

Agent Architecture Proven by exploitation, not flagged as a maybe.Hundreds of specialized AI agents don’t just find issues — they exploit them to prove real impact. A Human-ON-the-Loop governs safety and permission, configured to your harness. A single frontier model can’t do either at this depth.
LabelTrusted by enterprise-grade security teams and providers
LabelHow Terra's agents convert Signals to Findings you can act on.A pentest that ends at a report isn't finished - It's paused until the next one. Terra's agents run the same loop continuously, from first scan to confirmed fix.
Two Ways to Work with Terra AgentsAlways running. Always yours to direct.Terra's agents are purposefully segmented to optimize governability and execution for each distinct moment in the continuous workflow—helping pentesters get to decisions faster and to execute those decisions more powerfully.
Agents that run on their ownAmbient agents test continuously in the background. Running on every incremental code change, mapping new and changes to your attack surface, proving exploits as they appear. No one has to kick off a scan. Your terrain is under test around the clock.
Agents that take your directionCopilot agents take commands from the Human-ON-the-Loop (HOTL) using the Terra Offensive Research Collaboration Hub (TORCH). The HOTL points Copilot agents at a specific target, chases a hunch, or scopes a sensitive asset. Humans steer, agents perform within guardrails.
Terra Offensive Research Collaboration Hub (TORCH)Work with AI agents directly
Why Architects CareThe architecture isn’t a limitation. It’s the point.
A brief description for this section.
"Likely vulnerable" isn't acitonableScanners report potential; developers can’t patch a maybe. Terra’s agents attempt real exploitation and capture the proof. Your team fixes findings, not theories.
False positives are noisy security debtFire-and-forget tools ship noise by default, and your team spends week one separating signal from finding. White-box validation removes the triage before it starts.
Continuous testing, safely governedAttack surface changes one minute, proven findings and remediation guidance land the next. Agents do the proving, while a Human-ON-the-Loop keeps every run in scope.
FAQCommon questions about AI Pentesting Agents
What's the difference between Ambient and Copilot agents?

Ambient agents run continuously in the background, testing every incremental code change without anyone kicking off a scan. Copilot agents take direction from a human pentester through TORCH — pointed at a specific target, a hunch, or a sensitive asset. Both operate inside the same guardrails; the difference is who initiates the work.

Can Terra's agents take unsupervised action in production environments?

No. Agents operate inside configured guardrails. The Human-ON-the-Loop exists specifically so nothing executes in a sensitive environment without a person governing scope and permission.

Can we use our own LLM with Terra's agents?

Yes. Bring-your-own-model is available across deployment types, including multi-tenant SaaS, single-tenant, and on-premises or air-gapped environments. You can supply your own model endpoint instead of using Terra's default provider.

Is agent activity logged and auditable?

Every agent action and every human decision in the loop is logged and traceable as the work happens, not reconstructed after the fact. That trail is what makes the audit-ready reports possible, and what gives a Human-ON-the-Loop something concrete to govern against.

LabelTest your terrain.See it run against your stack. A 30-minute walkthrough on your own AI systems, networks, web apps, and APIs.
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