Agentic AI Risk Management for Enterprises
Gain full visibility, real-time threat detection, and compliance across every AI agent, MCP connection, and tool call in Microsoft Copilot, Salesforce Agentforce, Claude Agent SDK, and custom cloud applications.












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Why Agentic AI Risk Management Matters to Enterprises
Agents Expand the Attack Surface
AI agents chain tools, call APIs, and take autonomous actions across enterprise systems. Every new agent and MCP connection adds another entry point that security teams need to discover, assess, score, and govern.
Agent Goal Hijacking and Memory Poisoning
Agents ingest untrusted context from documents, MCP servers and more. Attackers exploit this through the highest-impact agentic threats: Agent Goal Hijack, Tool Misuse, Identity and Privilege Abuse, Memory Poisoning, and Cascading Failures.
Compliance Pressure Is Rising
The EU AI Act, NIST AI RMF, and ISO 42001 require documented controls over agentic systems. Enterprises need runtime enforcement and audit trails tied to every agent action.
The Lasso AI Security Platform
Built from the ground up in the AI era, Lasso's AI Security Platform empowers Financial Services organizations to unlock the full potential of LLMs and AI agents safely, responsibly, and confidently.
Secure agentic AI end-to-end with real-time, intent-aware protection
Agent Discovery with Risk Scoring
Discover every AI agent across your enterprise and assess the MCP servers and tools each agent connects to. Get a risk score for each agent based on permissions, actions, tool descriptions, and more. If an agent triggers a high risk score, manage or block it instantly.
Real-Time Threat Detection
Monitor every agent action and MCP tool call in real-time to identify indirect prompt injection, memory poisoning, data exfiltration, tool poisoning, malicious responses, and other AI threats or attack techniques.
Intent-Aware Policy Enforcement
Deploy intent-aware policies in minutes to enforce role-based permissions and strict Data Loss Prevention. Lasso applies runtime enforcement to identify intent misalignment with the organization's policies.
Compliance and Audit Readiness
Map every agent interaction to NIST AI RMF, OWASP Top 10 for LLMs and Agentic AI, EU AI Act, ISO 42001, and SOC 2. Produce audit-ready evidence for regulators and internal reviews.
Core Components of Agentic AI Security
Agent and MCP Inventory
Inventory every AI agent and MCP server connected across your organization. Catalog agents built on Claude Agent SDK, Microsoft Copilot, Salesforce Agentforce, AWS Bedrock Agents, and custom cloud applications in one place.

Intent Deputy Engine
Analyze the reasoning behind every prompt and tool call, not just keywords. Decode 3,000+ obfuscation techniques with 99.83% detection accuracy and under 50ms latency.

MCP Gateway
Secure every MCP connection with Lasso's open-source MCP Gateway. Inspect tool descriptions, responses, and parameters to stop tool poisoning and hidden instructions before they reach the agent.

Runtime Policy Engine
Enforce role-based permissions, data classifications, and usage policies across every agent. Manage or block actions that show intent misalignment with the organization's policies.

Compliance Mapping
Continuous mapping to NIST AI RMF, OWASP Top 10 for Agentic Applications, EU AI Act, ISO 42001, GDPR, HIPAA, and SOC 2. Exportable evidence for auditors and boards.

FAQs
What is agentic AI risk management?
Agentic AI risk management is the practice of identifying, scoring, and controlling risks created by autonomous AI agents across their full lifecycle.
- Discover every agent, MCP server, and tool connection in use
- Score risks based on permissions, data access, and actions
- Detect prompt injection, memory poisoning, and data exfiltration
- Enforce policies and produce compliance evidence
What are the top risks of agentic AI?
Autonomous agents introduce risks that traditional security tools were never built to detect or stop.
- Indirect prompt injection from documents, tools, and web content
- Memory poisoning that corrupts long-running agent state
- Tool poisoning through hidden instructions in MCP descriptions
- Data exfiltration via autonomous tool calls and API chains
How is agentic AI different from generative AI?
Generative AI produces content in response to prompts. Agentic AI takes autonomous actions, calls tools, and chains decisions with minimal human oversight.
- Agents execute multi-step plans across systems
- Agents access tools, APIs, and sensitive data directly
- Agents persist memory and state across sessions
- Risk compounds with every autonomous tool call
Which compliance frameworks apply to AI agents?
Most enterprises must map agent behavior to several overlapping AI governance frameworks.
- NIST AI Risk Management Framework
- EU AI Act requirements for high-risk systems
- ISO 42001, SOC 2 Type 2, and GDPR
How does MCP security fit into agentic AI risk management?
The Model Context Protocol is how modern agents connect to tools. Every MCP server is a new trust boundary that must be assessed and monitored.
- Score each MCP based on permissions, actions, and descriptions
- Inspect tool descriptions for hidden prompt injection
- Monitor every tool call for intent misalignment
- Manage or block high-risk MCP servers in real time
Can traditional DLP tools manage agentic AI risk?
Traditional DLP was built for static file and email flows. It cannot interpret agent reasoning, tool calls, or the dynamic context that drives modern AI risk.
- No visibility into prompts, responses, or MCP traffic
- No understanding of agent intent or tool chains
- No coverage of Shadow LLM or unmanaged agents
- No runtime enforcement at the intent layer
How does Lasso approach agentic AI risk management?
Lasso Agentic Security covers every stage of agent risk, from discovery to runtime enforcement, with real-time threat detection at the intent layer.
- Discover and risk-score agents, MCP servers, and tools
- Detect prompt injection, memory poisoning, and more in real time
- Enforce intent-aware policies across every agent action
- Produce continuous compliance and audit evidence
Does Lasso offer open-source tooling for MCP?
Yes. Lasso released the first open-source security gateway for MCP, giving security teams immediate control over agent tool connections.
- Inspect every MCP tool call and response
- Detect tool poisoning and hidden instructions
- Apply policies across Claude Agent SDK, Microsoft Copilot, Salesforce Agentforce, and custom cloud agents
- Deploy in minutes with your existing stack
How do I start managing agentic AI risk with Lasso?
See Lasso in action with a live walkthrough tailored to your agent stack and compliance requirements.
- Discover every agent and MCP in your environment
- Score risks and simulate real attacks
- Deploy intent-aware policies in minutes
- Map results to NIST, OWASP, and EU AI Act
Keep up with Lasso
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OWASP GenAI Security Project Release of Top 10 for Agentic Applications 2026

Lasso Releases First Open Source Security Gateway for MCP

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