Runtime security for agentic AI
AI Agent Guardrails That Act Before the Agent Does
PromptHalo Septa sits inline on every inference, tool call and agent-to-agent handoff, then decides allow, restrict, challenge, deny or monitor in under 100ms.
- Per-action decisions in under 100ms, inline on every call
- Blocks out-of-scope tool and API calls before they run
- Deploys in under a day, no model retraining or code rewrite
ML detection with over 95% catch rate at under 5% false positives.
Talk to PromptHalo about agent guardrails
Tell us about your agents and we will map guardrails to your stack.
Why teams put PromptHalo in front of their agents
Every action gets a decision
Septa runs inline on each inference, tool call and agent-to-agent handoff. It allows, restricts, challenges, denies or monitors in under 100ms.
Agents keep their scope
Agent security passports carry risk profiling, authority decay and budget and scope limits, so agent authority does not live forever.
Stops AI-native attacks
Blocks prompt injection, jailbreaks, retrieval poisoning, data leakage and unsafe tool calls before they execute.
Fewer false alarms
ML-based detection catches over 95% of attacks at under 5% false positives, compared with roughly 35% catch and 15-20% false positives for rule-based approaches.
Evidence you can hand to auditors
Append-only, tamper-evident logs at the decision level, mapped to OWASP LLM Top 10, NIST AI RMF and the EU AI Act.
Works with any model or vendor
Model- and vendor-agnostic. We never touch your proprietary models and there is no retraining or code rewrite.
Guardrails for multi-agent systems, not just single prompts
Firewalls, DLP and code scanners were never built to see autonomous tool calls, RAG retrieval and multi-agent handoffs. PromptHalo was. Litmus red-teams your agents, RAG layers and tool chains the way an attacker would. Every attack it finds is encoded in a shared Threat Library that trains Septa, the runtime enforcement engine. Test it, then trust it.
You choose how guardrails connect: API gateway integration, agent mode with your orchestration platform or framework, or an inline middleware SDK inside your own application. All three feed the same inspection and enforcement pipeline, so protection is the same no matter how you plug it in.
- Decisions per action: allow, restrict, challenge, deny or monitor in under 100ms
- Configurable policy engine to flag, log or block AI responses with your own rules
- Prompt injection, jailbreak, instruction override and RAG poisoning protection
- Data leakage prevention across multi-step and multi-session conversations
- Behavioral drift detection across sessions using per-tenant session and memory state
- Unsafe tool and API call prevention with per-action scope enforcement
- Budgets across time, steps and risk that decay and force re-authorization
- Deployment modes: API gateway, agent/orchestration mode, inline middleware SDK
What happens after you submit
We review your agent setup
Tell us which agents, frameworks and tool chains you run. We look at where guardrails need to sit.
We map policy to your risks
We walk through enforcement decisions, agent passports, scope limits and the audit trail your compliance team needs.
We plan the deployment
Pick API gateway, agent mode or inline middleware. Deployment takes under a day with no model retraining or code rewrite.
Frequently asked questions
Do you need access to our model?
No. PromptHalo works without access to the underlying model. It is model- and vendor-agnostic, so there is no retraining and no rewrite of your model code.
How do guardrails work across multiple agents?
Septa sits inline on agent-to-agent handoffs as well as inferences and tool calls. Each agent carries a signed security passport with risk profiling, authority decay and budget and scope limits, enforced externally so an agent cannot grant itself more access.
Will guardrails slow our agents down?
Each action gets a decision in under 100ms. For the Agentic Commerce Trust offering, the trust check runs in under 50ms.
How do we connect it to our stack?
Three options: API gateway integration with your AI APIs, agent mode for orchestration platforms and agent frameworks, or an inline middleware SDK inside custom applications. All use the same enforcement pipeline.
What do we get for compliance?
Decision-level audit logs that record the decision, the reason, the acting agent or passport identity, session and tenant context, and a timestamp. Logs are append-only and tamper-evident, and map to OWASP LLM Top 10, NIST AI RMF and the EU AI Act.
What does it cost?
Pricing depends on your agents, deployment mode and scope. Send us your setup and we will put together a quote.
Put guardrails on every agent action
Tell us about your agents, tool chains and frameworks. We will show you how PromptHalo tests them, then enforces trust on every decision in real time.
- Per-action decisions in under 100ms, inline on every call
- Blocks out-of-scope tool and API calls before they run
- Deploys in under a day, no model retraining or code rewrite