
Runtime security platform giving visibility and control over custom enterprise AI agents.

Runtime security platform giving visibility and control over custom enterprise AI agents.
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Rein Security develops a security platform for custom-built enterprise AI agents. The platform is deployed as a sidecar at what the company calls the AI-Native Runtime, the execution layer where agents run, and is intended to give security teams visibility into and control over agent actions. Core capabilities described on the website: - Visibility: records agent actions such as database accesses and API calls, correlates who accessed what and why, and provides an audit trail of agent behavior with business context. - Prevention: baselines agent behavior automatically and applies action-level controls to stop deviations in real time without taking the agent offline. - Posture: combines code security, vulnerability management, compliance, supply chain security and governance for agents, and shows which issues are exploitable in the agentic runtime. - Privacy: the company states that all agentic data remains inside the customer's organization and that no gateways are used. Rein states that it automatically discovers services and agentic workflows across environments with a single deployment, and that it recommends enforceable policies based on observed behavior. It also supports application security use cases, including SCA, SAST and real-time API security, for organizations not yet using agentic workflows. The company says it supports compliance with ISO 42001, the EU AI Act, NIST AI RMF and SOC 2. Rein offers solution pages for finance and insurance, healthcare, and SaaS and retail. The website includes testimonials from security leaders at Dun & Bradstreet, Lemonade and H&R Block, and notes selection for TechCrunch Startup Battlefield 200.