About
Lasso Security is a comprehensive AI Security Platform purpose-built for enterprises navigating the rapid adoption of generative AI and autonomous agents. As AI tools proliferate across organizations, Lasso provides the visibility and control that traditional security solutions cannot offer for non-deterministic AI systems. The platform operates across four core pillars: Discovery & AI-BOM, AI Security Posture Management (ASPM), Automated AI Red Teaming, and Runtime Enforcement. Through CI/CD integrations and platform connectors, Lasso automatically inventories every AI agent and application, mapping models, system prompts, tools, and guardrails to produce a living AI Bill of Materials. Lasso's ASPM module performs continuous posture analysis, surfacing misconfigurations, policy gaps, supply chain risks, and compliance alignment with frameworks like NIST and OWASP. Its automated red teaming engine runs adversarial testing against a library of 3,000+ attacks covering the OWASP Top 10, including multi-turn agentic attacks, context poisoning, and tool chain manipulation. At runtime, Lasso enforces policies inline at the proxy, API, or AI Gateway layer, adapting protections as applications evolve. A key differentiator is its Intent Security capability, which analyzes the semantic intent behind agent actions rather than relying on fixed patterns—critical for securing unpredictable, agentic AI workloads. Lasso is designed for security teams in regulated industries including finance, healthcare, and the public sector, giving enterprises the confidence to adopt AI at scale without sacrificing governance.
Key Features
- AI Discovery & AI-BOM: Automatically discovers AI agents and homegrown applications via platform and CI integrations, producing a continuously updated AI Bill of Materials that maps models, system prompts, tools, and guardrails.
- AI Security Posture Management: Analyzes enterprise AI security posture by identifying misconfigurations, policy gaps, supply chain risks, and alignment with NIST and OWASP compliance frameworks.
- Automated AI Red Teaming: Runs adversarial testing across a library of 3,000+ attack scenarios including multi-turn agentic attacks, context poisoning, and tool chain manipulation, automatically updating policies via purple teaming.
- Runtime Enforcement: Enforces security policies inline at the proxy, API, or AI Gateway layer, providing portfolio-wide visibility and adaptive protection that evolves with your AI applications.
- Intent Security for AI Agents: Analyzes the semantic intent behind agent actions rather than relying on fixed rules, enabling detection of prompt injection, anomalous behavior, and adversarial manipulation in real time.
Use Cases
- Security teams auditing enterprise-wide AI tool usage to eliminate shadow AI and build a complete inventory of AI agents and applications.
- CISOs and compliance officers aligning AI deployments with NIST and OWASP frameworks to meet regulatory requirements in finance, healthcare, or public sector.
- DevSecOps teams integrating automated AI red teaming into CI/CD pipelines to continuously validate agent security before and after deployment.
- Enterprises enforcing data loss prevention and content moderation policies across AI models and agents at the API or gateway layer in real time.
- Organizations detecting and responding to prompt injection attacks, adversarial manipulation, and supply chain vulnerabilities introduced by foundational model updates.
Pros
- Comprehensive AI lifecycle coverage: Covers discovery, posture assessment, red teaming, and runtime enforcement in a single platform, eliminating gaps across the AI security lifecycle.
- Intent-based threat detection: Goes beyond static rule matching by analyzing agent intent, enabling detection of novel, non-deterministic AI threats that traditional security tools miss.
- Industry compliance alignment: Maps security posture to established frameworks like NIST and OWASP, simplifying compliance reporting for regulated industries such as finance and healthcare.
- Automated red teaming at scale: A library of 3,000+ attack scenarios with automated execution reduces manual pentesting effort and continuously validates AI agent security posture.
Cons
- Enterprise-only focus: The platform is designed for large enterprises with complex AI environments; smaller teams or individual developers may find it overly complex or cost-prohibitive.
- No self-serve pricing: Pricing is not publicly disclosed and requires a demo/sales conversation, making it difficult to evaluate cost without engaging the sales team.
- Integration dependency: Full platform value requires integration with CI/CD pipelines and AI infrastructure, which may involve significant setup effort for organizations with legacy systems.
Frequently Asked Questions
What is Lasso Security's AI Security Platform?
Lasso Security is an enterprise AI security platform that provides discovery, posture management, automated red teaming, and runtime enforcement for AI agents, models, and applications across an organization.
What is Intent Security and how does it work?
Intent Security is Lasso's approach to analyzing the semantic intent behind AI agent actions rather than relying on fixed patterns. It detects threats like prompt injection and adversarial manipulation by understanding what an agent is trying to do, not just what it literally outputs.
Which industries does Lasso Security serve?
Lasso is purpose-built for regulated and security-conscious industries including public sector, healthcare, and finance, where AI governance and compliance requirements are especially stringent.
How does Lasso discover AI agents within an enterprise?
Lasso integrates with existing platforms and CI/CD pipelines to automatically discover both purchased and homegrown AI agents and applications, building a continuously updated AI Bill of Materials (AI-BOM).
What compliance frameworks does Lasso support?
Lasso aligns AI security posture assessments with NIST and OWASP frameworks, including the OWASP Top 10 for LLMs, helping enterprises demonstrate compliance and identify policy gaps proactively.
