AI Security Assurance Platform

A platform built for LLM security assurance

Veraclue helps teams evaluate LLM deployments, generate evidence-linked findings, and produce approval-ready outputs for security and governance workflows.

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See what we test
Veraclue — Evaluation Run 1
LIVE
v2.4.1Export ▾
2+1
Critical
50
High
8-2
Medium
3+1
Low
IDCategorySeverityStatusActions
PI-1Prompt InjectionCriticalOpen
DL-1Data LeakageHighOpen
JB-1JailbreakHighMitigated
DL-2Data LeakageMediumReview

Execution Log

AUTO-REFRESH
$veraclue evaluate --model="gpt-4" --suite="prompt-injection-v3"14:32:18
Starting evaluation...
»Executing 47 test cases across 8 categories14:32:45
In progress...
!2 critical findings detected (PI-1, DL-1)14:33:02
Alert triggered
»Generating evidence pack for SOC 2 controls14:33:15
Packaging complete

Illustrative example — not real customer data

What the Veraclue Platform is built to do

Veraclue provides structured evaluation workflows, evidence generation, and audit-ready outputs specifically designed for enterprise AI security assurance programs.

Core platform capabilities

Audit Studio

Run repeatable evaluations with structured test suites designed for enterprise AI security assessment.

·Prompt injection and jailbreak detection
·Data leakage and privacy assessment
·Run history and comparison

Evidence Vault

Generate reports, evidence packs, and framework-mapped outputs ready for security review and compliance audits.

·Executive assurance reports (PDF)
·Evidence export (JSON)
·Findings export (CSV)

Export & Review

Export structured findings and evidence for security review, with framework mappings included where applicable.

·PDF assurance reports
·JSON evidence exports
·CSV findings with framework mappings

Comprehensive evaluation coverage

Prompt Attacks

Systematic testing for injection attacks and prompt manipulation

Jailbreak & Policy Bypass

Detection of attempts to bypass safety controls and policies

Data Leakage

Assessment of sensitive information exposure risks

Fairness Analysis

Evaluation of model outputs for bias and fairness across demographic groups

Privacy Compliance

Assessment of privacy-related risks and data protection requirements

Transparency Check

Validation of model transparency, explainability, and disclosure practices

Structured assurance workflow

1

Define scope

Set evaluation parameters and test suites

2

Run evaluations

Execute structured security assessments

3

Review findings

Analyze results with evidence trails

4

Export artifacts

Generate approval-ready outputs

5

Re-test after changes

Validate fixes and improvements

Built for enterprise review

Security Teams

Structured evaluation workflows with evidence trails and audit-ready documentation for security reviews.

  • ·Evidence-linked findings
  • ·Compliance framework mapping
  • ·Risk-based prioritization

Engineering Teams

Integration-ready outputs and structured findings that fit into existing development and deployment workflows.

  • ·Structured export formats (JSON, CSV)
  • ·Evidence-linked findings
  • ·Remediation guidance

Governance and Risk Teams

Executive-ready reports and framework-aligned evidence packs for compliance audits and risk assessments.

  • ·Executive assurance reports
  • ·Framework compliance mapping
  • ·Risk assessment support

Approval-ready outputs

Assurance Report

PDF

Executive summary with detailed findings and risk assessments

2.4MB·24 pages

Evidence Pack

JSON / CSV

Complete audit trail with test cases and compliance artifacts

847KB·Structured data

Framework Map

JSON / CSV

Mapping of findings to SOC 2, NIST AI RMF, and ISO 27001 controls

Variable·Mapped controls

Why teams choose assurance over vague platform breadth

A

Assurance-first design

Built specifically for security assurance workflows, not general AI monitoring. Every feature serves audit readiness and evidence generation.

E

Evidence-linked outputs

Every finding includes complete evidence trails, test cases, and reproducible artifacts for security review and compliance audits.

F

Framework-aligned

Direct mapping to enterprise frameworks (SOC 2, NIST AI RMF, ISO 27001) eliminates manual compliance work.

I

Integration-ready

Structured exports fit into existing security workflows without requiring platform replacement.

Fits into existing workflows

Veraclue integrates with your existing security and development workflows rather than replacing them. Export findings, evidence packs, and recommendations into your current tools and processes.

View Integration Options
Ready to strengthen your AI security assurance?

See the platform in action

Schedule a walkthrough with our team to see how Veraclue fits your security workflow and generates approval-ready outputs.

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