BENCHMARKING & COMPLIANCE

AI Model & Safety Evaluation

Empirical evaluation and compliance scorecards mapped to industry safety standards.

Distinguish genuine security boundaries from model quality with structured safety benchmarks. SecureMID provides standardized scorecards aligned with OWASP, NIST AI RMF, and MITRE ATLAS.

Empirical Accuracy100.0%

Verified across 1,200 empirical pilot evaluations.

F1 Safety Score1.0000

Zero false negatives and zero false positives achieved.

Dataset IntegritySHA-256

Cryptographically verified training and evaluation splits.

THE THREAT LANDSCAPE

Teams lack objective, reproducible benchmarks for model safety.

Subjective Safety Assessments

Without objective classification invariants, teams rely on ad-hoc spot checks that fail to detect systematic safety regressions.

Enterprise Compliance Burden

CISO and enterprise procurement committees require verifiable evidence and auditable compliance documentation before authorizing AI deployment.

Public Cloud Egress Risks

Evaluating sensitive internal models by sending logs to public commercial judges exposes confidential enterprise data and IP.

TECHNICAL COVERAGE

Verified Invariant Testing Suites

OWASP 2025

OWASP LLM Top 10 Mapping

Structured evaluation across prompt injection, sensitive data leakage, supply chain, and excessive agency.

NIST AI 100-1

NIST AI RMF Verification

Validate compliance with GOVERN, MAP, MEASURE, and MANAGE functional categories.

PDF / JSON

CISO Executive Scorecard

One-click export of executive summary PDFs with clear risk ratings, remediation actions, and SLAs.

SUB-5MS SLA

Local Judge LoRA Architecture

Air-gapped evaluation powered by Qwen2.5-3B-Instruct fine-tuned judge ensuring zero data leakage.

EXECUTION PROCESS

Standardized, reproducible model governance in 4 phases.

PHASE 01

Select Assessment Framework

Choose benchmark suites: OWASP LLM Top 10, NIST AI RMF controls, or custom company safety guidelines.

PHASE 02

Execute Evaluation Matrix

Run automated evaluation suites comparing model responses across baseline and adversarial invariants.

PHASE 03

Compute Statistical Scores

Calculate precision, recall, F1 score, false negative rate, and decision latency against established SLOs.

PHASE 04

Publish Compliance Dossier

Generate stakeholder-ready PDF certificates with cryptographic dataset hashes for board and regulatory review.

COMPLIANCE & GOVERNANCE MAPPING

Direct crosswalk to industry frameworks

OWASP LLM Top 10Full Catalog
NIST AI RMFAI 100-1 Framework
MITRE ATLASMatrix for AI Systems

Frequently Asked Questions

General benchmarks evaluate knowledge and reasoning capabilities. SecureMID specifically evaluates security invariants, adversarial robustness, and policy boundaries under active attack.
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