Compare Prefactor

Find the right tool for your challenge. Pick the problem you're facing and see exactly where Prefactor fits — and where others fall short.

Where Prefactor sits in the agentic stack

Different tools operate at different layers. Prefactor is the governance layer between orchestration and observability.

Application layer
Your product, internal tools, customer-facing agents
Agent orchestration
LangChain CrewAI AutoGPT IBM watsonx
Agent runtime control plane
Prefactor — governance, enforcement, audit, risk scoring
Observability & evaluation
LangSmith Langfuse AgentOps Fiddler AI
AI security
Zenity Prisma AIRS Aim Security Lakera
Infrastructure
Cloud, compute, model APIs, vector stores

What problem are you solving?

Click a challenge to see how Prefactor compares

Agents are going off-scope
They do things they were never approved to do
No audit trail for agent decisions
Compliance asks what the agent did — and you can't answer
Can't tell if agent outputs are actually good
Agents complete tasks — but no one assesses the quality
Agent costs are spiralling
No visibility into spend per agent, per task, per outcome
Shadow agents with no visibility
Teams are deploying agents you didn't know existed
Governance exists on paper, not in production
You have policies — but nothing enforcing them at runtime

Prefactor

Scope adherence + inline blocking
  • Define approved boundaries per agent, per task
  • Real-time enforcement blocks out-of-scope actions before they complete
  • Human-in-the-loop approval workflows for edge cases

What others cover

Zenity
Monitors access, not task scope
Lakera
Filters prompts, not agent behaviour
Credo AI
Documents policies, doesn't enforce them
Deep dive: vs Zenityvs Lakeravs Credo AI Book a demo

Prefactor

Immutable audit logs for every decision
  • Full trace of every agent action, decision, and outcome
  • Compliance-ready exports mapped to SOC 2, ISO 27001, EU AI Act
  • Tamper-proof logging with chain-of-custody integrity

What others cover

Fiddler AI
Observability metrics, not compliance-grade audit
Microsoft Agent 365
Logs access events, not agent reasoning
IBM watsonx
Platform logs, not independent governance record
Deep dive: vs Fiddler AIvs Microsoft Agent 365vs IBM watsonx Book a demo

Prefactor

Outcome quality assessment at runtime
  • Automated scoring of agent outputs against defined quality criteria
  • Configurable thresholds that trigger review or rollback
  • Composite risk scores combining quality, cost, and scope signals

What others cover

Fiddler AI
Tracks model metrics, not task outcome quality
Credo AI
Governance documentation, not runtime assessment
Prisma AIRS
Security posture, not output evaluation
Deep dive: vs Fiddler AIvs Credo AIvs Prisma AIRS Book a demo

Prefactor

Cost efficiency tracking per agent and task
  • Per-agent, per-task cost attribution in real time
  • Cost-to-outcome ratios that flag disproportionate spend
  • Budget guardrails that pause agents before overruns

What others cover

IBM watsonx
Platform-level billing, not per-task cost governance
Fiddler AI
Performance monitoring, not cost control
Aim Security
Security spend, not operational cost tracking
Deep dive: vs IBM watsonxvs Fiddler AIvs Aim Security Book a demo

Prefactor

Agent registry with lifecycle governance
  • Central registry for every agent across the organisation
  • Lifecycle states from registration through retirement
  • Approval gates before any agent reaches production

What others cover

Microsoft Agent 365
Governs access to agents, not agent inventory
Zenity
Discovers copilots, not full agent landscape
Credo AI
Policy catalogue, not runtime discovery
Deep dive: vs Microsoft Agent 365vs Zenityvs Credo AI Book a demo

Prefactor

Runtime enforcement with inline blocking
  • Policies execute as runtime rules, not PDF documents
  • Inline blocking stops non-compliant actions in real time
  • Approval workflows route exceptions to the right humans

What others cover

Credo AI
Documents governance, doesn't enforce it
Prisma AIRS
Enforces security policies, not operational governance
Lakera
Guards prompt layer, not agent-level decisions
Deep dive: vs Credo AIvs Prisma AIRSvs Lakera Book a demo

Prefactor vs the market

Prefactor is an agent control plane — not a security tool, not an observability dashboard, not another agent framework. Here's how we differ from each segment.

vs Security Platforms

Security platforms protect against threats — prompt injection, data exfiltration, adversarial attacks. Prefactor governs whether agents are performing as intended, staying within scope, and delivering outcomes worth the cost. Security answers "is it safe?" Prefactor answers "is it working?"

vs Zenity vs Prisma AIRS vs Aim Security vs Lakera

vs Observability

Observability tools show you what happened — traces, logs, metrics, dashboards. Prefactor decides what happens next. When an agent drifts out of scope or costs spike, Prefactor can block, throttle, or route to approval. Observability is read-only. Governance is read-write.

vs Fiddler AI vs AgentOps

vs Governance Platforms

Governance documentation platforms catalogue policies, generate compliance evidence, and produce audit packs. Prefactor enforces governance at runtime — policies execute as rules, not PDFs. If an agent violates a boundary, Prefactor acts on it inline.

vs Credo AI vs Microsoft Agent 365

vs Agent Platforms

Agent platforms build and run agents — orchestration, tool use, memory, deployment. Prefactor is framework-agnostic governance that works across all of them. You can build with any framework and govern with Prefactor — no vendor lock-in, no platform dependency.

vs IBM watsonx vs LangChain vs CrewAI vs AutoGPT

Browse all comparisons

Side-by-side breakdowns with every tool in the space

Prefactor vs Build vs Buy

Thinking about building your own agent governance infrastructure? Here's what that actually takes.

Decision framework for build vs buy

Prefactor vs Palo Alto Prisma AIRS

Prisma AIRS secures the AI attack surface. Prefactor governs agent performance in production.

AI security platform vs operational governance

Prefactor vs Zenity

Zenity secures the agent attack surface. Prefactor governs agent performance in production.

Copilot security vs full-lifecycle agent governance

Prefactor vs Aim Security

Aim Security secures the agent attack surface. Prefactor governs agent performance in production.

Agentic AI security vs production governance

Prefactor vs Lakera

Lakera secures LLM interactions. Prefactor governs agent performance in production.

Prompt/response security vs agent-level governance

Prefactor vs Fiddler AI

Fiddler surfaces observability. Prefactor governs what happens next.

ML observability vs agent runtime control

Prefactor vs Credo AI

Credo AI documents governance. Prefactor enforces it in production.

Policy documentation vs runtime enforcement

Prefactor vs Microsoft Agent 365

Agent 365 governs access. Prefactor governs performance and approvals.

Identity and access management vs outcome assessment

Prefactor vs IBM watsonx Orchestrate

watsonx Orchestrate builds and runs agents. Prefactor governs how they perform.

Agent platform vs independent control plane

Want to see Prefactor in your environment?

Book a demo