Zenity

Zenity's strongest editorial asset is that it refuses the category confusion its competitors fall into. A DSPM vendor calls agent risk a data problem, an IAM vendor calls it an identity problem, an EDR vendor calls it an endpoint problem, a network vendor calls it shadow access. Zenity's answer is that an agent's decision doesn't stay inside one category, so it assesses context — who the agent is acting for, what it's touching, how the plan unfolds — together with intent, which is why the plan makes sense. That framing is what the Surface, Enforce, and Protect modules are built around, and it holds up against the evidence: the detections genuinely correlate configuration, permissions, and runtime behavior rather than firing isolated alerts. The second asset is least agency. Boundaries and Agentic Identity are the parts buyers underweight before they run agents in production and overvalue afterwards: defining who an agent acts for and capping what it can reach at design time is cheaper than investigating a destructive action after it lands. Exposure Management and Shadow AI detection address the failure mode that actually shows up in enterprise tenants first — over-shared resources and unmanaged agents that nobody registered. The Fortune 50 financial services quote in Zenity's own material describes exactly that: 150k+ resources in the tenant, over-shared resources with access to sensitive data, DLP bypass routes, and misconfigured agents, with 80% risk reduction claimed. The third asset is operational realism. Self-service and auto-fix are what let a two-FTE team remediate 90% of existing vulnerabilities in four months at a Fortune 20 technology customer, and 95% of high-risk violations were auto-remediated at a Fortune 200 consulting customer. If your plan requires a human to approve every fix, this is the difference between a governance program that closes findings and one that queues them. Where it strains. This is a program purchase, not a point tool — internal sponsorship and budget matter more than any individual trial. Coverage is platform-anchored: the value of Surface, Enforce, and Protect depends on the agent platforms and clouds you actually run, so a stack outside the supported list narrows what Zenity can see and stop. It also assumes a security team with the appetite to write policy and make least-agency calls; a team that wants purely passive monitoring and zero policy ownership will find the product asking more of them than they budgeted for. And a handful of agents will not justify the program — the payback curve is steep only once citizen development is real. The Fortune 50 pharma numbers (2,000 shared agent and app instances, 82% non-professional builders) describe the environment where the math works. The 2026 additions sharpen the picture. Claude Tag coverage extends enforcement to agents shared across Slack workspaces, an under-watched surface because the agent lives in a chat tool rather than a sanctioned platform. AI