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SAIS
SecureAIScore™
Assess. Download. Improve.

Executive-ready AI Security Assessment for teams that need clear scores, trustworthy reports, and a clean path from insight to action.

Release 18.7
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SAIS
SecureAIScore™
Assess. Download. Improve.
AssessmentSample ReportPricingMethodologyAI Security Hub
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This is a sample assessment. Your organization's results will be generated from your own assessment responses.
Public Sample Report

Sample enterprise AI security assessment report

The sample assessment indicates a governance-forward posture with clear policy ownership, while prompt-security and model-monitoring controls need tighter operational evidence. Leadership can improve resilience quickly through focused access hardening, runtime safety controls, and measurable remediation checkpoints.

Overall score: 72 / 100
Maturity level: Managed
Benchmark percentile: P68
Start Free AssessmentView PricingDownload Sample PDF

Domain radar

Sample domain-level scores for this demonstration assessment.

Radar
AI GovernanceIdentity and AccessPrompt SecurityModel SecurityRAG SecurityMonitoring and LoggingIncident ResponseCompliance Readiness

Domain score summary

Lower-scoring domains are prioritized for remediation planning.

AI Governance81%
Identity and Access77%
Prompt Security64%
Model Security69%
RAG Security66%
Monitoring and Logging74%
Incident Response70%
Compliance Readiness75%
Chart summary: Prompt Security and RAG Security are the lowest-maturity sample domains, while AI Governance and Identity and Access score highest.

Key Findings

  • •Critical AI systems are inventoried, but ownership metadata is inconsistent across business units.
  • •Prompt injection defenses exist in production assistants but are not yet standardized for all internal tools.
  • •Model and retrieval change approvals are documented, yet evidence collection is fragmented.
  • •Incident escalation criteria are defined; tabletop frequency is below target for high-impact use cases.

Priority Recommendations

  • ✓Standardize prompt and tool-use policy enforcement across all enterprise copilots.
  • ✓Expand model monitoring with drift, abuse, and output-safety thresholds tied to ownership.
  • ✓Create a unified AI evidence repository for governance, audit, and executive reporting.
  • ✓Run quarterly AI incident-response exercises for high-risk workflows.

Roadmap preview

  • 30 days: establish cross-team ownership register and remediation governance cadence.
  • 60 days: deploy consistent prompt and runtime policy controls for top-risk assistants.
  • 90 days: operationalize evidence workflows and trend reporting for executive reviews.

Benchmark preview

Benchmark snapshot

Sample comparison against anonymized peers and industry benchmarks.

Sample organization72%
Industry average67%
Top quartile79%

Risk register preview

Sample top risks with relative severity scoring.

Critical
High
Medium
Low
Strong
Inconsistent prompt policy enforcement in internal copilots
Limited model-behavior monitoring for newly onboarded AI services
Optimized
Evidence traceability gaps across governance and compliance workflows

Premium report preview

  • Executive summary and board-ready score narrative
  • Prioritized recommendation intelligence with expected score impact
  • Detailed risk register with ownership and timing guidance
  • Roadmap sequencing, benchmark context, and report downloads

Improvement opportunities

  • Estimated +4 score from prompt policy standardization
  • Estimated +3 score from centralized evidence operations
  • Estimated +5 score from advanced runtime monitoring coverage
Trust and Security

Built for enterprise AI security assessment and governance programs

Privacy-first architecture

Designed with data minimization and controlled access principles for assessment and reporting workflows.

Secure account access

Built using established security practices, role-based access patterns, and workspace-level separation controls.

Transparent methodology

Assessment methodology is versioned, explainable, and aligned with recognized AI security and governance concepts.

Payment provider integration

Payment processing is handled by configured payment service providers when commercial billing is enabled.

MethodologyPrivacy PolicyTerms
Enterprise Support

Ready to operationalize AI security governance at scale?

Start with the free assessment, upgrade when you need deeper reporting, and use support channels only when specific implementation questions arise.

Security and privacy-first product design
Organization-wide assessments and reporting
Structured support for large teams and governance owners
Self-service onboarding with optional expert support
Start Free AssessmentContact Support
SAIS
SecureAIScore™
Assess. Download. Improve.

Executive-ready AI Security Assessment for teams that need clear scores, trustworthy reports, and a clean path from insight to action.

Release 18.7
Product
  • Assessment
  • Sample Report
  • Pricing
  • Methodology
Resources
  • AI Security Hub
  • Tools
  • Compare
  • Research
Support
  • FAQ
  • Contact
  • Payment Support
Legal
  • Privacy Policy
  • Terms of Service
  • Cookie Policy
For Yourself. For Your Team. For Your Enterprise.
© 2026 SecureAIScore™. All rights reserved.