Terra Platform™ AI Red Teaming

Terra Platform™ - AI Red TeamingContinuous, agentic red teaming for AI systems.Terra's agents test the full AI system: copilots, agents, MCP servers, tool integrations, and the data flows connecting them. Findings come with fixes, not just flags.

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LabelTrusted by enterprise-grade security teams and providers

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LabelGo beyond testing the model.

Most AI security testing stops at the model: prompt fuzzing, jailbreak benchmarks, static evals. Terra's agents go further. They test the complete system in production context, tracing how a prompt injection in one tool call becomes a privilege escalation three steps later. That's the attack path a real adversary builds, and it's the one component-level testing can't see.

Stop red teaming the model. Start red teaming the system.Engineered for the world’s largest and most complex organizations

Real Attach ChainsAgents don't stop at a successful jailbreak. They follow the exploit into your connected systems: what data can it reach, what actions can it trigger, what does a compromised agent actually let an attacker do.

Systems, Not ComponentsTest the deployed system, not the isolated model. Terra's agents probe how your copilots, agents, and MCP integrations behave together, chaining exposures across tool calls and data flows the way an adversary actually would.

Fix and VerifyGuidance is scoped to the exact prompt, tool permission, or integration that made the exploit possible. Terra automatically re-tests to confirm the exposure is closed. No manual re-scoping, no guessing whether remediation worked.

Truly Enterprise-GradeOne agentic platform across AI systems, web apps, internal and external networks. Unify AI red teaming with the rest of your Offensive Security program instead of running it as a separate initiative.

Terra Platform™Discover what's exposed, validate what's exploitable, remediate what matters.

LabelWhere AI speed meets human control.

Real exploitabilityAutonomous agents detect changes to your AI systems and validate exposure in minutes, closing the gap between every new integration and the moment it's tested.

Governed by designAgents operate inside guardrails, with human judgment at every critical decision point. Guardrails are policy-driven, with human oversight in place to manage risk.

Execution at scaleExecution records and verified findings feed straight into your remediation workflow, so a red team engagement doesn't end in a slide deck that no one does anything about.

LabelWhy teams choose Terra.

vs. model-only red teaming & prompt-fuzzing toolsModel evaluations test the model in isolation. Terra tests the system you deployed — the copilot, the agent, the MCP server, and the tool calls between them — because that's where real exploits live.

vs. fully autonomous AI red teaming toolsAutonomous tools without human oversight generate findings that include noise. Terra's human-on-the-loop confirms exploitability and business impact before anything reaches your report.

vs. manual point-in-time AI system auditsAI systems change daily. A one-time, manual red team exercise is costly and becomes stale by the next release. Terra re-tests automatically on every meaningful change so teseting keeps pace with development.

vs. automated AI benchmark & scoring toolsBenchmark scores flag where a model might be weak, in the abstract. Terra's agents attempt real exploitation against your deployed system and only report what's actually exploitable.

FAQCommon questions about AI red teamingA brief description for this section.

What is AI red teaming?

AI red teaming is adversarial testing of a fully deployed AI system — the model, its prompts, its tool integrations, its data flows, and its agent behaviors — to find exploitable weaknesses before an attacker does. It goes beyond checking a model in isolation; it tests the system as attackers would actually encounter it in production.

How is AI red teaming different from prompt fuzzing?

Prompt fuzzing and model evals test a component in a lab setting. AI red teaming, as Terra runs it, tests the deployed system in context — copilots, chat bots, MCP servers, agentic apps, and the integrations connecting them — surfacing exposures that only show up when the full system is exercised.

What kinds of AI systems can be red-teamed in Terra Platform?

Terra's AI red teaming covers LLM-powered applications, copilots, chat bots, MCP servers, agentic apps, and the underlying model and data-pipeline integrations. Testing looks at exposures across the interactions between these components, not just the model itself.

How often should AI systems be red-teamed?

Continuously. AI applications change frequently — new prompts, new tool integrations, new agent behaviors — and each change can open new exposure. Terra tests on an ongoing basis so new risk is caught close to when it's introduced, rather than waiting for an annual engagement.

LabelTest the system you shipped, not the model you trained.See how agentic AI Red Teaming fits into a continuous Offensive Security program.

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Continuous, agentic red teaming for AI systems.

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