TrojAI by A10 Networks

Categories: Cybersecurity, Automation / Agents, Business & Sales | Pricing: Enterprise | Official Website ↗

TrojAI provides an enterprise AI security platform to detect and prevent threats to AI agents from build time to runtime.

TrojAI by A10 Networks is an enterprise AI security platform designed to enable organizations to deploy AI agents confidently. It offers visibility and enforcement capabilities beyond the prompt layer, addressing risks such as prompt injection, data leakage, tool misuse, and unsafe behavior inherent in agentic AI systems. The platform secures the full AI lifecycle, from pre-deployment risk surfacing to runtime monitoring of agentic traffic. It helps discover rogue or malicious agents and provides context and observability into agent decisions, including invocations, spans, and tool calls, through agentic telemetry. TrojAI aims to prevent adversarial attacks, data leakage, toxic content, and tool abuse, ensuring compliance and operational resilience for AI-secure enterprises. Traditional security tools are not equipped to handle the dynamic, runtime risks introduced by AI. TrojAI fills this gap by focusing on how AI models process data and interact with systems, rather than just code, infrastructure, or static rules.

Key Features

Adversarial attack prevention (prompt injection, jailbreaking)
Data leakage prevention (PII, sensitive data)
Toxic content blocking (inputs and outputs)
Tool abuse neutralization (rogue MCP servers, unauthorized access)
AI risk and vulnerability surfacing pre-deployment
Agentic traffic monitoring
Rogue agent and MCP server discovery
Agentic telemetry for decision observability

Pros

Provides security specifically for agentic AI systems.
Addresses dynamic, runtime AI risks that traditional tools miss.
Offers end-to-end coverage across the AI lifecycle.
Enhances compliance and audit readiness for AI deployments.
Reduces financial and reputational risk associated with AI use.

Cons

Pricing information is not transparently available.
Requires integration into existing enterprise AI workflows.
Focuses on agentic AI, may not cover all AI model types.
Specific technical details on implementation are not publicly detailed.
Newer solution in a rapidly evolving security landscape.

Use Cases

Securing custom AI agents
Protecting third-party AI agents
Ensuring security of desktop AI agents
Preventing data exfiltration by AI models
Blocking malicious prompt injections
Maintaining compliance for AI deployments

Best For

Enterprises deploying AI agents
Organizations concerned with AI security and governance
Financial services
Insurance companies
Technology companies
Manufacturing

Platforms: Web

Watch demo on YouTube ↗

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