“It really helped us to have a clear vision around our attack surface, and it helped us shape the roadmap of how AI security would look within the company.” - Gabriel Tobar Brolo, Senior Security Engineer, Yalo
Your AI attack surface is expanding. Your Board wants to know about it.
Snyk’s 2026 State of Agentic Adoption report shows that 1 in 3 engineering teams are finding "Shadow AI" components like MCP servers and unapproved models in their codebase that leadership was not aware of. Can you see what AI is actually in your codebase?
Evo AI-SPM: Discover AI Assets, Prioritize Risk, and Unify Policies
Evo AI Security Posture Management (AI‑SPM) gives security and engineering leaders a unified, real‑time view of your AI asset inventory with risk scores and policies built in bridging the visibility gap.
The “Model-Only” View is a Fiduciary Risk
Most security teams report on the models they bought. But ~2/3 of your risk lies beneath the surface in the agentic tools, plugins, and data pipelines your employees are connecting daily.
If you aren’t governing the ~3x footprint, you aren’t governing AI.
AI Security Tool Evaluation Framework
A Strategic Guide for CISOs
Stop reporting on just the models you’ve bought and start governing the entire ecosystem your Board is actually liable for. Download the guide to:
Map hidden agentic attack surfaces
Standardize AI-BOM (bill of materials) reporting
Align your AI roadmap with global regulatory standards
Agentic AI Readiness & Risk Assessment
How mature is your AI security program? Discover where your organization stands on the AI readiness curve.
Take this survey to benchmark your AI security posture, discover key gaps, and learn actionable steps to improve your agentic AI readiness through governance.