Compliance Validation Prototypes for Regulated Environments

Compliance is operational, not documentary. Adroit Edge builds validation prototypes that run against real systems and produce auditable evidence. KSI-Forge measures how long cloud security controls have remained compliant across AWS, Azure and GCP. AI-Forge runs live adversarial attacks against deployed AI models and produces binary PASS/FAIL findings per regulatory control. Both prototypes generate evidence that withstands assessment.

AI-Forge governance cockpit showing a completed prompt injection resistance assessment with 44 attacks fired against Llama 3 8B, verdict tally of 36 refused, 1 partial, 4 complied, 3 leaked, with real-time attack feed and dual-taxonomy compliance matrix

AI-Forge prototype: Live adversarial validation with binary PASS/FAIL findings across five AI compliance frameworks

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Validation Platform

AI-Forge

An automated AI compliance validation prototype. AI-Forge runs live adversarial attacks against deployed AI models and produces binary PASS/FAIL findings per regulatory control, with SHA-256 hashed evidence for every prompt-response pair. One assessment run updates control status across the EU AI Act, NIST AI RMF, CSA AI Controls Matrix, OWASP LLM Top 10 and MITRE ATLAS.

Dual-Taxonomy Compliance Matrix Every attack maps simultaneously to regulatory frameworks and industry threat taxonomies. Same data, both views, zero duplication.
Audit-Grade Evidence Pipeline Every finding carries the exact prompt, exact response, UTC timestamp and SHA-256 hash. Verifiable and reproducible.
Attack-First Pacing Attacks fire within seconds of clicking Run. Compliance matrix fills in during runtime as findings accumulate. Not a dashboard. A live validation engine.
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KSI-Forge validation result showing compliance duration metrics and Just-In-Time Compliance detection for cloud-native controls

KSI-Forge prototype: Compliance duration and Just-In-Time Compliance detection for cloud-native controls

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Research Platform

KSI-Forge

A patent pending compliance duration validation prototype. KSI-Forge measures how long security controls have been maintained in a compliant state, detects controls that became compliant just in time to pass an audit, and normalizes these metrics across AWS, Azure, and GCP.

Compliance Duration Engine Calculates how long each control has remained in a compliant or non-compliant state. Produces an objective temporal measure that cannot be manipulated by last-minute remediation.
Just-In-Time Detection Identifies controls that achieve compliance only immediately before assessment. Flags a risk signal that sampling-based testing cannot detect.
Multi-Cloud Normalization Normalizes compliance duration metrics across AWS, Azure and GCP into a unified framework. Produces consistent duration measurements regardless of underlying cloud platform.
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KSI-Forge and AI-Forge are research prototypes built on the same architectural patterns: binary validators, audit-grade evidence pipelines and cross-framework mapping. Each is purpose-built for the compliance domain it operates in.