Security Engineering Methodology✓ Validated2026

Deterministic Security Auditor for Compliance

Eliminating false positives in security audits through logic-gated deterministic classification.

Overview

B2B technical due diligence demanded auditable evidence linking code vulnerabilities to business risk exposure, yet conventional SAST tools generated unactionable noise. I architected a deterministic pipeline that gates LLM synthesis behind strict boolean preconditions—only confirmed findings advance to risk scoring. The system runs production-hardened on ARM64, integrating secret scanning with compliance-grade reporting. By binding every output to verifiable logic paths, the design eliminates false-positive fatigue while preserving full traceability for regulatory review.

PythonDockerSASTLLM OrchestrationCompliance AutomationARM64

Highlights

  1. 01

    Deployed production-hardened auditor on ARM64 infrastructure

  2. 02

    Logic-gated LLM synthesis with deterministic preconditions

  3. 03

    Integrated SAST and secret scanning for compliance reporting

System Architecture

Fail

Pass

Source Repository

SAST Engine

Secret Scanner

Logic Gate

Suppressed Finding

LLM Risk Synthesizer

Risk Scoring Matrix

Compliance Report

Deterministic pipeline from code ingestion to auditable compliance report.

Questions people ask

How does your security auditor reduce false positives?
It uses strict boolean preconditions to gate LLM synthesis, allowing only confirmed findings to advance, which eliminates false-positive fatigue.
What technologies power your deterministic security auditor?
The system integrates Python, Docker, SAST tools, LLM orchestration, and runs production-hardened on ARM64 infrastructure.
Can your auditor provide traceable compliance reports?
Yes, every output is bound to verifiable logic paths, ensuring full traceability for regulatory and compliance reviews.

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© 2026 Abhishek Khaparde • Sovereign AI Ecosystems

Non-Commercial Research
These projects represent my independent, non-commercial academic research at IIT Kanpur. These are distinct from my professional employment. All technical architectures discussed are academic design frameworks and do not represent the proprietary intellectual property, commercial methodologies, or official positions of my employer or any past professional affiliations.