Enterprise AI deployments are moving fast, but the systems those agents touch — codebases, APIs, databases — are still audited manually, slowly, and inconsistently. AuditForge changes that. AuditForge is a multi-agent compliance audit platform built on Google Gemini. Security teams upload their artifacts — a codebase, an OpenAPI spec, a database schema, a cloud config — and AuditForge dispatches specialized Gemini agents to analyze them against OWASP API Top 10, HIPAA Technical Safeguards, and SOC2 Common Criteria. Gemini's long-context window is the core advantage: rather than scanning files in isolation, the analysis agent reads an entire codebase at once, catching cross-file vulnerabilities that line-by-line tools miss entirely. Every finding is standardized — severity, evidence with the exact file and line, AI-generated remediation with a code example, and a direct mapping to the compliance clause it violates. When the audit is ready to hand off, AuditForge generates a cryptographically signed PDF report that maps every issue to its regulatory reference — the kind of document a CISO or external auditor can act on without a translator. Adding support for new system types — Terraform, Kubernetes, CI/CD pipelines — requires only a new connector module; the policy engine and report layer need no changes. Every action is recorded in a tamper-evident, cryptographically chained audit trail, making the audit of the audit verifiable too. The frontend runs natively on desktop and in the browser from a single Kotlin Multiplatform codebase. Server-Sent Events stream findings in real time as the scan runs. AuditForge makes compliance auditing something engineers can run themselves, security teams can trust, and regulators can read.
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