Reliability for security platforms.
Zof validates the workflows your customers depend on, and the AI activity inside them.
The risks that name themselves.
The pressure points cybersecurity engineering teams meet every quarter.
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Detection and response workflows that must not regress
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Customer-facing AI features that need defensible posture
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Audit-grade evidence for regulated customers
The workflows your business runs on.
Detection and response
Continuously validated under your governance and audit posture.
Identity and access workflows
Continuously validated under your governance and audit posture.
Policy authoring and enforcement
Continuously validated under your governance and audit posture.
Customer-facing AI features
Continuously validated under your governance and audit posture.
Reporting and audit dashboards
Continuously validated under your governance and audit posture.
Zof understands the system your tests protect.
The platform continuously maps services, dependencies, and the CI/CD pipelines that move code into them. Risk signals propagate along the graph so a regression in one service surfaces against everything it touches.
MAPPED SURFACE
20 services
Across queues, caches, agents, and externals.
CHANGE AWARENESS
CI/CD context
Pipelines surface alongside the graph.
RISK PROPAGATION
Edge-level signals
Failures travel with the dependencies.
- 01 · SERVICE TOPOLOGY
20 services
28 dependency edges
- 02 · RISK SIGNALS
2 active
83% coverage observed
- 03 · CI/CD AWARENESS
Build succeeded
- Azure DevOps
- 8m 22s
Built for the constraints you actually have.
Capabilities mapped to the way cybersecurity engineering teams operate, not a generic feature list.
Workflow validation
Continuous validation across detection and response.
Governed agents
Customer-facing AI inside policy.
Evidence by default.
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Designed for security platform vendors
See Zof on cybersecurity workloads.
A walk-through tailored to the workflows, audit posture, and governance your team operates.
