SentriAI vs Zenity
Zenity secures AI and low-code agents. SentriAI governs the agent action with a per-action verdict. Here is the honest comparison.
TL;DR verdict
Zenity is an AI agent and low-code security platform focused on discovering and securing agents and automations. SentriAI is an AI Action Governance platform: it decides, per action and at runtime, whether an actor should be allowed to do a thing to a resource - and records the verdict as tamper-evident evidence. These solve different problems, and for most teams they are complementary rather than either-or.
What Zenity does well
- Discovery of AI and low-code agents across an organization
- Security posture and risk assessment for those agents
- A focus on the sprawl of business-user-built automations
- Visibility into agent behavior and exposure
Where SentriAI differs
Zenity and SentriAI are closest in spirit - both take agents seriously as a risk. The difference is the primitive. Zenity emphasizes discovering and assessing the security posture of agents; SentriAI emphasizes the per-action decision: a deterministic Policy Decision Point that returns allow, step-up, review, contain, or deny for each action, with an Action Trust Score and tamper-evident evidence. Discovery and posture pair well with runtime action governance.
What SentriAI adds that this category does not
- A per-action Policy Decision Point that returns allow, step-up, review, contain, or deny
- An Action Trust Score (0–100) with the explainable factors behind it
- A hash-chained, reproducible trust ledger for every decision
- Governed actions that map themselves to SOC 2 CC6/CC7 and other controls
Side-by-side
| Dimension | SentriAI | Zenity |
|---|---|---|
| Primary job | Decide the agent action | Discover and secure agents |
| Primitive | Per-action PDP verdict + trust score | Agent discovery and posture |
| Runtime enforcement | Yes - per-action verdicts | Posture and controls |
| Evidence model | Hash-chained governed-action evidence | Agent risk findings |
| Compliance mapping | Actions map to SOC 2 CC6/CC7 | Security posture focus |
| Best fit | Runtime action decisions | Agent discovery and posture |
Who should pick which
Frequently asked questions
Is SentriAI a Zenity alternative?
They overlap more than most - both treat agents as a first-class risk. Zenity leans toward discovering and assessing agent security posture; SentriAI leans toward the per-action decision and the evidence it produces. Many teams would value both the discovery and the runtime enforcement.
Does SentriAI discover agents?
Yes, at the point of action: identity resolution surfaces shadow and ungoverned agents when they act. A dedicated agent-security platform may go broader on discovery; SentriAI’s emphasis is deciding and recording the action.
What is the core difference?
The primitive. SentriAI’s is the Action Trust Score and the per-action verdict from a deterministic PDP, plus tamper-evident evidence that maps to controls. That runtime decision layer is what distinguishes it.
Can they be used together?
Yes. Use agent discovery and posture to understand your agent landscape and SentriAI to govern and record what those agents do.
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