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Lasso Security is one of the first names teams mention for agentic reconnaissance. Inventory, MCP scanning, and pre-attack enumeration are genuinely best-in-class. The harder question usually comes after the scan: who owns each finding, how do you regression-test fixes, and what guardrails stay in production?
What is Lasso Security?
Lasso Security is an enterprise AI security platform focused on agentic applications. Per our 2026 agent red teaming tools guide, it offers agent discovery and inventory, MCP server and tool-calling security scanning, pre-attack reconnaissance (model identification, prompt extraction, tool enumeration), a 3,000+ attack library mapped to OWASP Top 10, CI/CD integration, and an MCP Gateway for agentic workflows. It is recognized in the OWASP Q2 2026 AI Security Solutions Landscape.
What our guides highlight
- 3,000+ attack library mapped to OWASP Top 10
- Agentic application discovery and inventory
- MCP server and tool-calling security scanning
- Pre-attack reconnaissance: model identification, prompt extraction, and tool enumeration
- CI/CD pipeline integration for continuous scanning
- MCP Gateway for agentic workflows (2025)
- Recognized in the OWASP Q2 2026 AI Security Solutions Landscape
Why teams look elsewhere
Lasso earns its place when agentic reconnaissance comes first. Agentic application discovery and inventory, MCP server and tool-calling security scanning, and pre-attack reconnaissance (model identification, prompt extraction, tool enumeration) are genuinely best-in-class in our guides. The 3,000+ attack library across OWASP Top 10, CI/CD pipeline integration, and MCP Gateway for agentic workflows give security teams a strong starting point before exploitation.
Teams widen the search when discovery must connect to remediation. Lasso is primarily security-focused, with limited quality and business-logic testing. There is no collaborative workflow for non-security stakeholders and no vulnerability-to-fix pipeline (tasks, regression tests, guardrails). Enterprise-only pricing and limited European data and AI sovereignty also surface in procurement reviews.
How we evaluate tools
We apply the framework from our 2026 agent red teaming guide and 2025 comparison: security and quality tested together, agent and multi-turn coverage beyond model-only scans, and a path from findings to tasks, regression tests, and guardrails. We also weigh whether product and domain teams can participate, not only a security-led scanner. The notes below come from those guides and our matrix.
Why teams choose Giskard
Giskard is the stronger fit when reconnaissance output must become durable fixes. Findings flow into prioritized tasks, regression tests, and runtime guardrails instead of stopping at scan reports. Giskard tests security and quality in the same scan, covering hallucination and business-logic failures alongside jailbreaks and prompt injection. For teams that already trust Lasso's inventory and MCP coverage, Giskard is the layer that closes the loop after discovery.
Other alternatives
Splx AI
Red-teaming plus automatic remediation via system prompt hardening, Agentic Radar for workflow vulnerabilities, and runtime guardrails. A strong fit when hardening and production defense matter as much as discovery. See Splx AI alternatives.
HiddenLayer
Unified platform spanning red-teaming, supply chain, runtime defense, and posture management with fast scan configuration. Suits teams that want one AppSec surface rather than a point recon tool. See HiddenLayer alternatives.
NVIDIA Garak
Broadest open-source probe library (120+ categories) for model-agnostic scanning. Useful for research-grade model testing alongside agent-focused platforms. See Garak alternatives.
Promptfoo
Strong CI/CD integration, YAML configs, and early MCP vulnerability testing in pull requests. Best for engineers who want recon-adjacent testing inside dev workflows. See Promptfoo alternatives.
When Lasso Security still makes sense
- Agentic application discovery and inventory must come before you can prioritize attacks
- MCP server and tool-calling security scanning is central to your threat model
- Pre-attack reconnaissance (model identification, prompt extraction, tool enumeration) should precede exploitation
- CI/CD pipeline integration keeps scans aligned with how you ship agent updates
- MCP Gateway for agentic workflows fits your architecture for controlling tool access
- A 3,000+ attack library mapped to OWASP Top 10 covers your compliance and coverage requirements
When Giskard is the better fit
- Findings must flow into tasks, regression tests, and guardrails, not stop at scan reports
- You need quality and business-logic testing alongside security coverage
- Domain experts and product teams must collaborate on scenarios outside a security-only workflow
- Enterprise-only pricing or lack of European data and AI sovereignty blocks procurement
Bottom line
Giskard is the stronger fit when discovery must connect to a fix pipeline and security and quality belong in the same scan. Lasso Security still wins when agent inventory, MCP reconnaissance, pre-attack enumeration, and CI/CD-integrated scanning are the primary gap.
