Secure Agentic AI Systems
Gain visibility and control over how agents act at runtime across workflows and MCP interactions.


Trusted by Industry Leaders


Agentic AI introduces real operational and runtime security risks
Agentic AI systems plan tasks, execute actions, and use tools independently. This autonomy creates neAgentic AI systems plan tasks, execute actions, and use tools independently. This autonomy expands attack surfaces and introduces runtime risks including prompt injection, unsafe execution, lateral movement between agents, and unauthorized access to high value systems.w attack surfaces and elevates the risk of prompt hijacking, unsafe execution, lateral movement between agents, and unauthorized access to high value systems.

Agent workflows can be compromised invisibly
Indirect prompt injection can originate from untrusted inputs, external data, or retrieved context. These hidden injections corrupt memory, override system instructions, and lead agents to make harmful decisions.
Agents can misuse tools or expose sensitive information
Without runtime controls, agents can trigger unsafe tool actions, expose sensitive data through memory or prompts, or chain multiple agents into unintended behaviors.
How HiddenLayer protects agentic systems in real time

Indirect Prompt Injection Detection
Identify and block prompt injection hidden inside data, documents, MCP responses, or retrieved context before it impacts agent execution.
.webp)
Memory and Context Safety
Detect unsafe memory recall, cross agent contamination, and exposed sensitive data before it becomes an instruction.
.webp)
Tool Use and Action Inspection
Monitor agent actions and enforce runtime policy across APIs, MCP tools, code execution, communication tools, and filesystem operations.
.webp)
MCP and Agentic Framework Traffic Inspection
Gain runtime visibility into agent behavior, reconstruct execution across sessions, and investigate activity across tools and workflows using LiteLLM proxy interception, SDK instrumentation, and gateway inspection.
Full stack security for agentic AI
Keep autonomous systems aligned, safe, and predictable.
Stop hidden prompt injections
Block indirect or covert injections originating from untrusted data.
Prevent unsafe autonomous actions
Ensure tool use, API calls, and multi step plans stay within approved guardrails.
Protect sensitive data
Detect and restrict leakage or memory corruption across agent workflows.
Gain visibility into agent behavior
Provide runtime visibility into complex multi-step agent workflows and reconstruct agent activity across tools and systems
Secure emerging agent ecosystems
Support for leading frameworks including OpenAI, AWS Bedrock, and MCP based systems.
Learn from the Industry’s AI Security Experts
Research, guidance, and frameworks from the team shaping AI security standards.
Ready to secure your agents?
Protect every agent, tool use, and memory interaction with real time enforcement.


