Lasso Security
What is Lasso Security?
Lasso Security is an AI security platform for security teams that discovers AI agents, tools, MCP servers, and connected resources, then scores risk and enforces protections across the execution path. Its core features include AI Discovery & Inventory, AI Red Teaming, Intent Security, Runtime Enforcement, and Explainable Compliance Reporting. It supports enterprise AI stacks across Vertex AI, Microsoft Copilot, AWS Bedrock, and Salesforce Agentforce, and appears in customer stories from the US department of homeland security, Optibus, Guesty, and Kaltura.
Last verifiedHow we evaluate
At a glance
- Lasso Security is best for security teams who need to govern agents, apps, and MCPs across the AI lifecycle.
What does Lasso Security do?
Lasso's AI Security Platform maps the AI attack surface, scores risk, and enforces protections across the execution path. It starts with discovery and inventory to find agents, tools, MCP servers, and connected resources, then uses AI risk assessment and automated red teaming to test how those systems can be abused. From there, runtime protection and intent analysis watch interactions in real time, validate behavior against a baseline, and block or alert when activity crosses a security threshold. The platform is built for non-deterministic AI systems that change as development changes, so security teams can keep pace without relying on static keyword rules. Lasso says its intent analysis runs in under 50ms with 99.83% threat detection accuracy, and its discovery flow can identify new agents in 7 minutes. It supports enterprise AI stacks across Vertex AI, Microsoft Copilot, AWS Bedrock, and Salesforce Agentforce, and it appears in customer stories and trust logos including the US department of homeland security, Optibus, Guesty, and Kaltura.
Why use Lasso Security?
- Its discovery-to-runtime workflow lets teams move from inventory to enforcement in one platform instead of stitching together separate point tools.
- Intent Security focuses on why an interaction happened, which helps distinguish benign behavior from agentic abuse that keyword filters miss.
- Real-time intent analysis under 50ms reduces the latency penalty that can come with LLM-only detection approaches.
- Automated red teaming and attack-path analysis help teams prioritize fixes before risky agents reach production.
- The platform is designed for enterprise AI stacks and shows up across multiple cloud and third-party environments, not just one model provider.
Who is Lasso Security for?
- Security operations teams who need continuous visibility into AI agents and their permissions.
- AI platform owners who need to inventory tools, MCP servers, and connected resources.
- AppSec teams who need runtime guardrails for customer-facing chatbots and assistants.
- Governance and compliance teams who need audit trails and explainable reporting for AI controls.
- Enterprise security leaders who need to adopt GenAI without losing control of sensitive data.
What are Lasso Security's key features?
AI Security Platform
End-to-end AI security platform that discovers AI assets, assesses risk, and protects runtime behavior across GenAI systems, helping teams manage adoption at enterprise scale.
Intent Security
Analyzes prompts and agent actions in under 50ms to spot malicious intent, jailbreaks, and prompt injection before they reach sensitive tools or data.
AI Discovery & Inventory
Autonomously discovers AI agents and MCPs, then builds an AI-BOM with permissions and risks, giving security teams a complete inventory to prioritize fixes.
AI Red Teaming
Runs offensive simulations with a 3,000+ attack library and 3000+ obfuscation techniques, helping teams test defenses against real attack paths and evasions.
AI Detection & Response
Monitors GenAI interactions in real time and detects threats with 99.83% accuracy, so teams can respond to risky behavior before it spreads.
Runtime Enforcement
Applies inline guardrails, data loss prevention, and content moderation during execution, reducing exposure when agents call tools or handle sensitive content.
Autonomous Agent Governance
Tracks agent and tool discovery, identity-linked anomalies, and rogue agents, helping teams control permissions and enforce governance across the execution path.
Explainable Compliance Reporting
Maps findings to 100% OWASP & NIST coverage and produces audit trails, giving buyers evidence for reviews and remediation planning.
What does Lasso Security integrate with?
- CI
- AI Gateway
- Vertex AI
- Microsoft Copilot
- AWS Bedrock
- Salesforce Agentforce
- CrowdStrike
- Amazon Bedrock
- Azure AI Foundry
- Microsoft Copilot Studio
- Google Vertex AI
What are Lasso Security's use cases?
Security teams monitor agents
Security operations teams use Lasso Security to keep continuous visibility into AI agents and their permissions, using AI Discovery & Inventory to find new tools and MCP servers as they appear. They then use AI Detection & Response to spot risky behavior fast and contain it before it reaches sensitive systems.
Platform owners map AI assets
AI platform owners use Lasso Security to inventory tools, MCP servers, and connected resources across their stack, using Discovery & AI-BOM to build a living map of what is connected. With Autonomous Agent Governance, they can understand which agents can act, call tools, or propagate access.
AppSec guards customer chatbots
AppSec teams use Lasso Security to protect customer-facing chatbots and assistants at runtime, applying Runtime Enforcement to block prompt injection, jailbreak attempts, and unsafe outputs. They pair it with Prompt Injection & Jailbreak Prevention to keep the experience usable while reducing exposure.
Compliance teams prove controls
Governance and compliance teams use Lasso Security to produce audit-ready evidence for AI controls, relying on Explainable Compliance Reporting to show what was monitored, what was blocked, and why. That makes it easier to answer internal reviews and demonstrate control coverage without manual spreadsheet work.
How does Lasso Security work?
- Connect your first AI environment and let AI Discovery & Inventory identify agents, MCP servers, tools, and connected resources without heavy setup.
- Review permissions and exposure in the AI Security Platform, then use AI Security Posture Management to see which assets need attention first.
- Run AI Red Teaming or Automated AI Red Teaming to test prompts, tools, and agent behavior, then use the findings to prioritize fixes.
- Apply Runtime Enforcement and Inline Runtime Guardrails to block risky actions, prevent prompt injection, and keep customer-facing assistants within policy.
- Monitor ongoing activity with AI Detection & Response and Explainable Compliance Reporting so security, AppSec, and governance teams can track changes and prove control effectiveness.
Frequently asked questions
What is Lasso Security?
Lasso Security is an AI security platform for security teams that discovers AI agents, tools, MCP servers, and connected resources, then scores risk and enforces protections across the execution path. Its core features include AI Discovery & Inventory, AI Red Teaming, Intent Security, Runtime Enforcement, and Explainable Compliance Reporting. It supports enterprise AI stacks across Vertex AI, Microsoft Copilot, AWS Bedrock, and Salesforce Agentforce, and appears in customer stories from the US department of homeland security, Optibus, Guesty, and Kaltura.
What is Lasso Security used for? Who is it for?
Lasso Security is used for AI Security Platform, Intent Security, and AI Discovery & Inventory. It's built for Security operations teams, AI platform owners, and AppSec teams.
Does Lasso Security have an API and what does it integrate with?
Lasso Security doesn't publish a public API. It integrates with CI, AI Gateway, Vertex AI, Microsoft Copilot, AWS Bedrock, and 6 more.
Explore other Security AI Agents
