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Start with the pressure: sales, launch, abuse, agents, data, or guardrails

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Evidence

All services

Prove and assure your AI security claims with buyer-ready evidence.

Turn findings, controls, remediation, and residual risk into a transparent proof trail that buyers, auditors, and leadership can verify.

Build Buyer-Ready EvidenceView 8-Service Portfolio
Evidence metrics dashboard diagram

Claim-readiness evidence

Evidence visual operating model

BUYER-READY EVIDENCE

WORKBENCH-BACKED

Evidence Packet Preview

From adversarial finding → control → retest → buyer evidence.

  1. 01

    Architecture

    Map the system, data flows, identities, and control boundaries.

    • AI assets & capabilities
    • RAG / data flows
    • Tool & agent permissions
    • Identity boundaries
    • External integrations
    OUTPUT: System Map

  2. 02

    Findings

    Adversarial testing uncovers exploitable paths and security gaps.

    • XPIA / indirect prompt injection
    • Tool abuse & escalation
    • Context leakage
    • RAG poisoning / data exposure
    • Severity & reproduction
    OUTPUT: Findings Report

  3. 03

    Controls

    Convert findings into controls and define verification strategy.

    • Recommended controls
    • Release gates
    • Telemetry requirements
    • Retest criteria
    • Residual risk notes
    OUTPUT: Control Plan

  4. 04

    Mapping

    Map work to the frameworks buyers and auditors use.

    • OWASP Top 10 for LLMs
    • MITRE ATLAS
    • NIST AI RMF
    • ISO / IEC 42001
    • SOC 2 (CC6, CC7, CC8)
    • EU AI Act (risk & obligations)
    OUTPUT: Control Crosswalk

  5. 05

    Buyer Evidence

    Package artifacts that answer questions and drive decisions.

    • Executive summary
    • Questionnaire responses
    • Residual risk summary
    • Remediation backlog
    • Trust center excerpts
    OUTPUT: Evidence Bundle

Procurement-ready by default.

Engagements are scoped, human-reviewed, and artifact-controlled.

  • NDA
  • DPA
  • SOW
  • ROE
  • EVIDENCE HANDLING
  • SUBPROCESSORS

Buyer questions

  • - What can we show enterprise buyers?
  • - What evidence supports our claims?
  • - What should sales, legal, and security say or not say?
  • - How do findings map to OWASP, NIST AI RMF, MITRE ATLAS, ISO 42001, SOC 2, or EU AI Act language?
  • - What governance operating model keeps the evidence current?

Products / instruments

AI Control Crosswalk — Framework Mapping EngineSecEng Trust ScannerSecEng Runtime Proxy — Trace, Replay, Evidence ExportSecEng Program Blueprint KitEvidence Library — Buyer-Ready Artifact SystemLocal-first AI Security Scorecard

Featured research

The State of AI Security Engineering ReportAI Security Engineering Field Guide
AI Security Engineering Field Guide cover

Featured research

AI Security Engineering Field Guide

Applied practitioner playbooks for securing LLM applications, RAG systems, agents, AI workflows, model supply chains, MLOps platforms, and governance evidence.

14 Domains12+ Artifact typesField Practitioner use

Open report

SecEng Trust Scanner screenshot

Evidence instrument

SecEng Trust Scanner

SecEng Workbench screenshot

Evidence workspace

SecEng Workbench

Splunk Product Security Program Buildout portfolio visual

Evidence proof

Splunk Product Security Program Buildout

Program evidence, control ownership, and operating-model proof pattern.

View proof

Flagship
EvidenceAvailable

evidence_pack

AI Security Sales Enablement

A workshop-first evidence sprint for AI-enabled products, designed to help sales, SE, product, legal, and security teams answer enterprise AI-security questions without improvisation.

Outcome

6 deliverables

Best for

Founder, Sales Engineering, CISO, Security, Legal, Product Marketing

  • •Buyer FAQ
  • •Questionnaire answer bank
  • •Model and provider boundary statement
  • •Claim-readiness notes
Duration: 5–10 business days (up to 2–4 weeks)Scoped through no-cost scoping
View serviceSee people fitView evidence
Flagship
EvidenceAvailable

program_build

AI Governance & Security Program Build

A program-building engagement that turns AI security from scattered policy into operating model, ownership, controls, evidence, workflows, and governance cadence.

Outcome

6 deliverables

Best for

CISO, CTO, AI Governance Lead, Security Program Lead, Legal/GRC

  • •AI security operating model, ownership, governance cadence, and evidence lifecycle
  • •Policy/control mapping across NIST AI RMF, ISO 42001, OWASP, MITRE ATLAS, and internal controls
  • •Secure AI SDLC program design, intake workflows, release gates, and decision records
  • •Fractional CISO/vCISO-style advisory module when leadership capacity is needed
Duration: 4-10 weeks or retainerScoped through no-cost scoping
View serviceSee people fitView evidence

Sample deliverables

Enterprise AI Security Evidence Pack
Enterprise AI Security Questionnaire Answer Bank
AI Buyer FAQ
Model Provider Boundary Statement
AI Governance Evidence Matrix
Publication & Claim-Readiness Matrix
Control Ownership Matrix
Evidence Lifecycle Plan