SecureAgentics provides runtime security monitoring and control for AI agents through its open-source tool, Adrian. Adrian analyzes both agent actions and reasoning traces to detect and block prompt injection, data exfiltration, and other malicious behaviors in real time. It offers SDKs for Python and TypeScript, plus a native Claude Code plugin for securing terminal-based agent tool calls.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional security tools designed for deterministic software are ineffective for agentic AI systems that make independent decisions, adapt to context, and call external tools. Monitoring output alone is insufficient because agents generate plans and take actions that can deviate from intended behavior, introducing new categories of risk such as prompt injection, tool poisoning, and privilege escalation.
Solution
SecureAgentics offers Adrian, an open-source runtime security monitoring and control engine for AI agents. Adrian analyzes both agent activity logs and reasoning traces to understand not just what an agent did, but why it did it and what it plans next. It evaluates actions against a working understanding of the agent's intended remit, correlating behavior across the entire session to catch novel attacks that static analysis and behavior-only monitoring miss. When risky actions are detected, Adrian can intervene in-flight, blocking or holding them for approval. The platform provides SDKs for Python and TypeScript, a managed cloud dashboard, and a native Claude Code plugin for securing terminal-based agent interactions.
Target Audience
Primary users are development teams and security engineers building and deploying AI agent applications who need runtime protection against prompt injection and other agent-specific threats.
Features
- Combines behavior analysis (tool calls, actions, outputs) with reasoning trace analysis to understand agent intent and context
- Detects prompt injection, jailbreaks, tool poisoning, data exfiltration, secret leakage, and privilege escalation
- Correlates actions across the full session to identify out-of-remit behavior that training-based classifiers would miss
- Offers audit mode and block mode for flexible intervention, with real-time classification and approval workflows
- Provides Python SDK (LangChain, Anthropic), TypeScript SDK, and a native Claude Code plugin requiring no code changes
- Includes a managed dashboard at app.adrian.secureagentics.ai for configuration, monitoring, and alerting