AI Red Teaming by PromptHalo
Automated AI Red Teaming for Agents, RAG and Tool Chains
Litmus attacks your AI the way a real adversary would, across multi-step and multi-agent workflows, so you find exploitable paths before they ship.
- Tests agents, RAG layers and tool chains, not just prompts
- Reports mapped to risk scenarios with prioritized fixes
- Every attack found trains your runtime defense
ML-based detection: over 95% catch rate at under 5% false positives
Scope your AI red team
Tell us what you are building. We will map testing to your agents, RAG layers and tool calls.
Why security teams choose PromptHalo for red teaming
Find attack paths before launch
Litmus continuously attacks your agents, RAG layers and tool chains and surfaces the paths a real adversary would use.
Built for agentic AI
Autonomous tool calls, retrieval and agent-to-agent handoffs are attack surfaces that firewalls, DLP and code scanners were never designed to see.
Signal, not noise
ML-based detection reaches over 95% catch rate at under 5% false positives. Rule-based approaches catch roughly 35% with 15-20% false positives.
Fixes you can act on
You get risk-scenario-mapped reports with prioritized, actionable fixes instead of a pile of raw findings.
Test it, then trust it
Every attack Litmus discovers is encoded in a shared Threat Library that trains the Septa runtime engine, so protection compounds over time.
No model access needed
Model and vendor agnostic. No model retraining, no code rewrite, and we never touch your proprietary models.
What automated AI red teaming covers
Litmus is PromptHalo's red teaming solution. It probes multi-step, multi-agent workflows with adversarial task chains, prompt injection, jailbreak, poisoning and data-leakage tests. Results come back as risk-scenario-mapped reports with prioritized fixes your engineers can work through.
Testing does not stop at the report. Discovered attack patterns are written into a shared Threat Library that feeds Septa, the inline runtime enforcement engine, so a new attack pattern becomes a live defense without waiting for a release cycle.
- Adversarial task chains across multi-step, multi-agent workflows
- Prompt injection, jailbreak, retrieval poisoning and data-leakage probes
- Coverage of agents, RAG layers and tool chains
- Risk-scenario-mapped reports with prioritized, actionable fixes
- Findings encoded into the shared Threat Library
- Detection engine at over 95% catch rate and under 5% false positives
- Optional runtime enforcement inline on every inference, tool call and agent handoff
- Decision-level audit logs mapped to OWASP LLM Top 10, NIST AI RMF and the EU AI Act
What happens after you send the form
Tell us about your AI
Share which agents, RAG layers and tool integrations are in play and where they run.
We map the attack surface
We walk through your agent workflows, retrieval sources and tool calls to define the test scope.
You get a scoped plan and quote
You receive a red teaming plan, pricing for your scope, and the option to add inline runtime enforcement.
Frequently asked questions
How is automated AI red teaming priced?
Pricing is not published. It depends on scope: how many AI applications, agents, retrieval sources and tool integrations you want tested. Send the form and we will scope a quote for your setup.
Do you need access to our models?
No. PromptHalo is model and vendor agnostic and works without access to your underlying model. There is no model retraining and no code rewrite.
What do we get at the end of testing?
Risk-scenario-mapped reports with prioritized, actionable fixes rather than raw findings. The same discoveries train the ML detection engine used for runtime defense.
Can you also block these attacks in production?
Yes. Septa, our runtime security solution, sits inline on every inference, tool call and agent-to-agent handoff and decides allow, restrict, challenge, deny or monitor in under 100ms. It deploys in under a day.
Does this help with compliance?
Testing and enforcement produce tamper-evident, decision-level audit logs mapped to OWASP LLM Top 10, NIST AI RMF and the EU AI Act, which you can use for security review and regulatory reporting.
Who do you work with?
US enterprises deploying AI and agentic AI, with a focus on regulated financial services, fintech and payments. PromptHalo is based in Frisco, Texas and serves the United States nationwide.
See where your AI agents break first
Tell us about your agents, RAG layers and tool calls. We will scope automated AI red teaming for your stack and send pricing.
- Tests agents, RAG layers and tool chains, not just prompts
- Reports mapped to risk scenarios with prioritized fixes
- Every attack found trains your runtime defense