Enterprise Real-Time AI Safety Monitoring Solutions

PromptHalo helps enterprises monitor AI behavior in real time, catching prompt injection, jailbreaks, data leakage, retrieval poisoning, unsafe tool actions, and behavioral drift before they become incidents. Purpose-built for agentic AI, it runs inline across inferences, tool calls, and handoffs, delivering fast decisions without touching proprietary models or forcing major code changes.

AI safety monitoring dashboard protecting enterprise workflows

Our Real-Time AI Safety Monitoring Solutions Services

Inline AI monitoring and enforcement for safer enterprise agents, applications, workflows, and regulated customer interactions.

Runtime Security

Sits inline on every inference, tool call, and agent handoff, making per-action decisions in under 100ms to allow, restrict, challenge, deny, or monitor AI activity.

AI Security Monitoring

Monitors AI application inputs and outputs in real time, detecting anomalies, trust issues, and risky behavior in milliseconds before problematic responses reach users.

Policy Enforcement

Lets enterprises define custom rules that flag, log, transform, or block AI requests and responses inline, ensuring organizational policies are enforced at the point of action.

Prompt Injection Protection

Identifies direct prompt injection, retrieval injection, and RAG poisoning attempts using embedding-based detection and a shared Threat Library trained by red-team findings.

Data Leakage Prevention

Inspects AI responses in real time to stop sensitive information from being exposed across conversations, sessions, tenants, or multi-step agent workflows.

Behavioral Drift Detection

Tracks subtle changes in AI behavior across sessions, helping teams catch reliability, trust, and compliance issues before they compound into larger operational risks.

Inline Protection

Secure Every AI Action in Real Time

PromptHalo gives security and compliance teams a real-time control layer for AI applications, agents, RAG systems, and tool chains. Instead of reviewing incidents after delivery, it inspects activity on the wire, applies policy per action, and creates decision-level evidence. Teams can scale AI autonomy while containing prompt attacks, data exposure, unsafe execution, and regulatory risk.

Security team reviewing real-time AI risk decisions
The PromptHalo Difference

Why Choose PromptHalo?

PromptHalo is built for the security risks created by autonomous AI systems.

Agentic Focus

Purpose-built for tool calls, RAG retrieval, multi-agent handoffs, and autonomous AI decisions.

Fast Decisions

Inline runtime decisions happen in under 100ms before risky actions execute.

Low Friction

Deploys in under a day with no model retraining or code rewrite.

Audit Ready

Creates tamper-evident, replayable logs mapped to major AI risk frameworks.

Built By PromptHalo

Runtime security and trust for agentic AI.

PromptHalo focuses on one critical problem: helping enterprises trust AI agents while they operate in real time. The platform tests AI the way attackers would, then turns those discoveries into runtime defenses across prompts, RAG layers, tool calls, and agent-to-agent handoffs. Built for security teams, regulated organizations, and enterprises deploying AI at scale, PromptHalo works across applications from any vendor without touching proprietary models. Its vision is to make agentic AI safe enough for sensitive transactions, compliance workflows, and customer interactions, while giving teams the evidence they need to prove control at every decision point.

Under 1 DayDeployment timeline without model retraining or code rewrite
Under 100msPer-action runtime decisions across inferences, tool calls, and handoffs
95%+ Catch RateML-based detection performance stated for red-team-trained defenses

Frequently Asked Questions

Is it how does real-time AI monitoring protect users?

Real-time AI monitoring protects users by inspecting prompts, responses, tool calls, and agent handoffs before outcomes are delivered or executed. PromptHalo can detect prompt injection, jailbreaks, data leakage, retrieval poisoning, unsafe actions, and behavioral drift in milliseconds. When risk appears, the system can allow, restrict, challenge, deny, or monitor the action while recording an audit trail.

What does PromptHalo monitor in an AI application?

Does PromptHalo require access to our proprietary model?

How fast are runtime AI safety decisions?

What AI threats can real-time monitoring help block?

Can we define our own AI safety policies?

How does PromptHalo support compliance and audits?

How quickly can PromptHalo be deployed?

Need Help Securing Your AI?

Talk to PromptHalo about real-time protection for your deployment.

Framework Aligned

Awards and Recognition

OWASP LLM Top 10 trust indicator

OWASP LLM Top 10

Mapped to recognized AI application risks

NIST AI RMF trust indicator

NIST AI RMF

Supports structured AI risk management

EU AI Act readiness indicator

EU AI Act

Designed for evidence-grade AI oversight

Secure Your AI Before It Acts

Share your AI environment, agent workflows, or compliance priorities, and PromptHalo will help identify the right runtime monitoring and enforcement path.

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