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Zenity secures agents. We govern them.
Zenity detects threats, misuse, and misconfiguration in enterprise copilots. Prefactor governs whether agents deliver correct outcomes within scope and budget. [1]
What they do well - Shadow agent discovery across SaaS, cloud, and endpoint environments.
- Runtime threat detection: prompt injection, data leakage, over-permissioned behaviour.
- Security posture management aligned to OWASP LLM Top 10, MITRE ATLAS, and NIST AI RMF.
- Agent-level incident correlation and intent-focused threat analysis.
- Gartner Cool Vendor 2025 in Agentic AI TRiSM, with Fortune 500 enterprise customers and recognition in the Forrester AI Governance Solutions Landscape.
Best for: security teams that need threat visibility, detection, and response across their deployed agent population.
What we do - Outcome quality assessment: did the agent produce the right result for the task it was deployed to complete?
- Cost efficiency assessment: was the spend proportionate to the result?
- Scope adherence: did the agent stay within its approved boundaries, tools, and actions?
- Composite risk score from these signals, with customer-set thresholds that determine what happens next.
- Inline blocking and approval routing when risk thresholds are crossed.
- Agent registry and lifecycle governance from registration through retirement.
- Immutable audit log for regulatory review.
Best for: AI leadership, AI governance, compliance, and enterprise architecture teams that need continuous operational governance of production agents.
Zenity assesses for security intent
- Is this agent being manipulated? Is it leaking data? Is it over-permissioned? Is it behaving in a way consistent with an attack pattern?
Threat model: Adversarial. The assumption is that something or someone is trying to misuse the agent.
Prefactor assesses for operational integrity
- Is this agent completing its task correctly? Is it cost-efficient? Is it operating within its approved scope? Is it aligned with the business outcome it was deployed to achieve?
Threat model: Operational drift, scope creep, and misalignment. No attacker required.
Both matter. An agent can be perfectly secure from an attack perspective and still be producing wrong outputs, running at 10x the expected cost, or quietly doing things outside its approved scope. That's a governance failure, not a security failure. Prefactor catches the second category. These are different layers — in a mature enterprise AI architecture, they coexist.
| Capability | | |
|---|---|---|
| Overview | ||
| Primary question answered | Is this agent being attacked, misconfigured, or over-permissioned? | Is this agent performing as intended, within scope, and worth the cost? |
| Primary buyer | CISO, Security Engineering | Head of AI, AI Governance, Enterprise Architecture |
| Security capabilities | ||
| Shadow agent discovery | ✓ | — |
| Runtime threat detection | ✓ | — |
| Governance & operations | ||
| Outcome quality assessment | — | ✓ |
| Cost efficiency tracking | — | ✓ |
| Composite risk scoring | ◔ | ✓ |
| Inline blocking | ✓ | ✓ |
| Configurable approval routing | — | ✓ |
| Enterprise readiness | ||
| Compliance audit trail | ◔ | ✓ |
| Agent lifecycle governance | — | ✓ |
| Regulated industry design | ✓ | ✓ |
Related: Prefactor for CISOs
Security and governance are both required
If you already use Zenity for agent security, Prefactor adds the operational governance layer — performance assessment, cost tracking, and structured human-in-the-loop controls.
Book a demo View all comparisonsFrequently asked questions
Is Prefactor a competitor to Zenity?
They solve adjacent problems at different layers. Zenity is an AI security platform — it detects threats and adversarial behaviour. Prefactor is an agent control plane — it assesses operational performance and enforces governance controls. Regulated enterprises often deploy both.
Does Zenity assess whether agents are delivering ROI?
Zenity's assessment lens is security-focused — detecting threats, misconfigurations, and over-permissioned behaviour. It does not assess outcome quality, cost efficiency, or whether agents are completing their intended tasks correctly. That is Prefactor's assessment layer.
Can Prefactor detect prompt injection?
Prefactor's scope adherence assessment detects when agents operate outside their approved boundaries, which can include anomalous behaviour patterns. For dedicated adversarial threat detection — prompt injection, jailbreaks, intent-based attack analysis — Zenity is purpose-built for that.
How We Reviewed This Comparison
This page was reviewed against public product and documentation pages on March 19, 2026. If a vendor has changed a feature, product name, or positioning since then, send a correction and we will update the comparison.
Numbered source links in the page body point to the ordered public sources below.
Sources reviewed
Prefactor contextMethodology
- Reviewed public product, documentation, and launch material visible at the time of writing.
- Mapped each page to the primary buyer, control layer, and runtime capabilities each vendor describes publicly.
- Prefer direct product and documentation pages over analyst summaries or reseller material.