The operating layer for modern assurance

Turn controls and oversight into audit-ready evidence

AssuranceOps helps teams collect, structure, and maintain defensible evidence for SOC 2, security assurance and penetration testing, and emerging AI assurance needs.

Systems
GitHub, AWS, Okta, Drive
Controls & Reviews
Map requirements to evidence
Evidence Objects
Structured artifacts with hashes
Audit Pack
Export-ready packets
The problem

Most teams do not have a compliance problem. They have an evidence problem.

Policies exist. Controls exist. Logs exist. Reviews happen. But the proof is scattered across tools, screenshots, chat threads, docs, and memory.

Scattered evidence

Artifacts spread across GitHub, AWS, Okta, Drive, Jira, Slack, and shared folders with no consistent structure.

Last-minute audit scramble

Teams spend weeks chasing evidence owners, reformatting exports, and filling gaps before fieldwork begins.

No structure for AI oversight

Existing audit workflows were not built to capture testing records, monitoring evidence, or human review checkpoints.

The solution

Fragmented proof becomes structured evidence

Collect from source systems

Connect to GitHub, AWS, Okta, Google Drive, Jira, and more. Pull evidence artifacts directly from where they live.

Map to controls and reviews

Structure evidence against control requirements, auditor requests, or assurance review criteria with clear ownership.

Maintain defensible evidence

Track freshness, flag exceptions, generate control narratives, and export audit-ready packets reusable across cycles.

Three tracks

Compliance, security, and AI assurance — one operating layer.

Compliance Evidence Operations

For SOC 2, ISO 27001, security reviews, and recurring audit requests. Collect, structure, and maintain the evidence auditors need.

SOC 2ISO 27001Security ReviewsVendor Diligence
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Security Assurance

Penetration testing and launch-readiness security assessments for websites, web apps, APIs, and AI systems — with a risk register, remediation workflow, and audit-ready evidence pack.

WebsiteWeb AppAPIAI App
Explore Security Assurance
Available

AI Assurance Operations

For AI use case approvals, testing evidence, monitoring, human oversight, and board-ready assurance records.

Use Case InventoryTesting RecordsOversight PacksMonitoring
Explore AI Assurance
Workflow

How it works

1

Identify requirements

Upload auditor requests or define assurance criteria

2

Connect sources

Link GitHub, AWS, Okta, Drive, and other systems

3

Generate evidence

Collect and structure artifacts with metadata and hashes

4

Review & resolve

Assign ownership, flag exceptions, validate freshness

5

Export or maintain

Build audit packets or maintain continuous readiness

Why it matters

Traditional audit workflows were not built for AI systems

Most audit teams are prepared to review uptime, access control, and change management. They are not fully prepared to review outcome monitoring, model drift, or human oversight records.

Traditional audit checks

AI assurance requirements

Access control
Outcome monitoring
Change management
Drift detection evidence
Uptime monitoring
Testing and validation records
Ticket approvals
Human oversight checkpoints
Static policy review
Explainability and rationale evidence
Incident escalation logs
Output

What we produce

Structured evidence objects — not screenshots, not spreadsheets.

Compliance Evidence Object

Control IDCC6.1
RequirementLogical access controls
Source systemOkta
Artifactmfa_policy_export.json
Collected2026-01-15T09:30:00Z
OwnerSecurity team
StatusCurrent

AI Assurance Evidence Object

Use case IDAI-003
AI systemClaims triage model
Risk classificationHigh
Testing recordBias evaluation — Q1 2026
MonitoringDrift threshold: active
Human reviewMonthly checkpoint
Oversight summaryBoard pack — March 2026
Integrations

Connects to the systems you already use

G

GitHub

Branch rules, PRs

A

AWS

IAM, CloudTrail

O

Okta

MFA, access policies

G

Google Drive

Policies, docs

J

Jira

Change mgmt

M

More

Expanding

Frequently asked questions

What is security assurance?
Security assurance is a structured workflow that validates whether websites, web applications, APIs, and AI systems are ready to launch, sell, or pass audits. AssuranceOps combines human-validated penetration testing with a risk register, remediation workflow, retesting, and an audit-ready evidence pack — rather than just a one-time scanner report.
How is AssuranceOps different from a traditional penetration test?
A traditional pen test usually ends in a static PDF. AssuranceOps delivers human-validated findings, developer-ready remediation guidance, a risk register, retesting to closure, an executive go/no-go recommendation, and a downloadable evidence pack — turning testing into launch-readiness assurance.
How much does a security assessment cost?
Website Security Assessment starts at $995, Web App Security Assurance and API Security Assurance start at $3,500, and AI App Security Assurance starts at $5,000. Continuous Security Assurance subscriptions start at $1,000/month.
Do you test AI and LLM applications?
Yes. AI App Security Assurance covers prompt injection, RAG data leakage, tool-execution boundary review, and API-key, secret, and PII exposure — alongside traditional web, app, and API testing where applicable.
Do you need authorization before testing?
Always. Testing only begins after the customer signs a scoped authorization covering the assets, rules of engagement, and testing window. AssuranceOps never claims a system is "certified secure" — reports state findings and residual risk against the agreed scope.

Build assurance that scales with your systems

Start with evidence readiness today. Prepare for AI assurance tomorrow.