RuntimeAI

RuntimeAI is an enterprise-grade security and governance platform for AI agents. It unifies identity, policy, audit and incident response so teams can manage risk and cost in real time.

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RuntimeAIAI agent securityAI governance platformreal-time policy enforcemententerprise AI access controlAI runtime audit logsShadow AI detectionAI cost management

Features of RuntimeAI

Runtime ID for instant agent authentication and fingerprinting

Least-privilege access controls that limit what each agent can do

Real-time policy enforcement and blocking—PII, prompt injection, etc.

Built-in behavioral monitoring to spot drift, anomalies and Shadow AI

Budget guardrails with auto-stop when spend exceeds limits

One-click Kill-switch for emergency shutdown of rogue agents

Continuous audit trail and high-frequency event recording for forensics

SaaS, hybrid and air-gapped on-prem deployment options

Edge-model support inside VPCs to keep data in-domain

Use Cases of RuntimeAI

Roll out multi-agent apps with unified identity and access boundaries

Block customer-service or ops agents from leaking sensitive data in real time

Detect behavioral drift and anomalous activity across all agents

Cap runaway AI spend with budget alerts and hard limits

Stop malicious automation instantly with the Kill-switch

Meet regulatory requirements with centralized audit logs and tamper-proof evidence

Deploy in isolated or classified environments via hybrid or air-gapped setups

FAQ about RuntimeAI

QWhat is RuntimeAI?

RuntimeAI is a security and governance platform built for enterprise AI agents, covering identity, policy enforcement, audit and incident response.

QWhat problems does RuntimeAI solve?

It handles access control, policy compliance, anomalous behavior, cost governance and emergency response while agents are running.

QWhich deployment models are supported?

Official docs list SaaS, hybrid and fully air-gapped on-prem options so you can match any infrastructure requirement.

QDoes RuntimeAI enforce policies in real time?

Yes—policies are evaluated and enforced at runtime, blocking sensitive-data leaks, prompt injection and other rule violations instantly.

QHow does RuntimeAI deal with rogue agent behavior?

Continuous behavioral monitoring flags anomalies, while the built-in Kill-switch lets you shut down compromised agents in one click.

QDoes RuntimeAI provide audit capabilities?

Yes—immutable audit logs and high-frequency event recordings support traceability, troubleshooting and compliance evidence.

QAre performance metrics published?

The website cites policy latency, observability coverage and integration counts; actual numbers depend on your environment.

QIs pricing or a free tier publicly available?

The site currently offers “Request a Demo”; detailed pricing and editions require contacting the vendor.

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