TrojAI Revolutionizes Agentic AI Security with Advanced Capabilities Beyond Prompt Layer

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TrojAI Boosts AI Security with Advanced Capabilities

The increasing adoption of agentic AI in enterprise environments has created new security challenges. In response, TrojAI has introduced significant enhancements to its platform, designed to provide comprehensive protection for AI systems beyond the prompt layer. These innovations address the rapid evolution of the AI security ecosystem and enable enterprises to deploy AI securely at scale.

According to Lee Weiner, CEO of TrojAI, “Enterprises need to have complete visibility into the activities of their AI agents and enforce policies across entire workflows, not just individual prompts. This is crucial for secure AI deployment.”

AI Red Teaming with Autonomous Agents

TrojAI’s Detect platform now includes Agent-Led AI Red Teaming, which leverages coordinated autonomous agents to conduct red team testing on AI agents, applications, and models. This feature allows AI security teams to easily perform complex testing scenarios that align with established security frameworks, such as OWASP, MITRE, and NIST.

Agentic testing: Specialized agents work together to test AI models, apps, and agents, providing a single, actionable report.
Multi-turn attacks: Agents orchestrate dynamic attack chains, eliminating manual configuration and utilizing TrojAI’s extensive library of datasets and manipulations.
Adaptive learning: Testing agents evolve strategies across attacks, becoming more effective with each new cycle of testing.
Framework mapping: Test results are automatically mapped to industry-standard frameworks.

Agent-Led AI Red Teaming streamlines AI security testing, transforming it into an intelligent assessment aligned with industry-standard frameworks.

Runtime Intelligence for AI Agents

To complement build-time risk assessment, TrojAI has introduced Agent Runtime Intelligence, a new platform capability available in private preview. This feature captures and analyzes full AI agent execution traces, providing deep visibility into AI agent behavior at runtime. This includes tool usage, memory access, data retrieval patterns, and system prompt exposure.

Agent Runtime Intelligence enables security teams to govern, test, and enforce policy across complex AI workflows, including:

Tool exposure and excessive agency
Prompt injection propagation across workflows
Sensitive data access during retrieval
System prompt exposure and memory interactions

This capability integrates seamlessly with TrojAI’s existing dashboards, MCP governance, SIEM integrations, and compliance tooling.

Real-Time Protection for Coding Agents

As AI coding agents become increasingly embedded in development workflows, they introduce new security risks. TrojAI’s Real-Time Protection of Coding Agents extends the company’s Defend platform to safeguard AI coding assistants, such as Claude Code and Codex, as they generate, retrieve, and modify code. This capability detects exposed secrets, preventing potential security breaches.

With these advanced capabilities, TrojAI is redefining how enterprises protect the next generation of intelligent systems, enabling them to confidently adopt AI innovation securely, transparently, and at scale.

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