91% of developers use AI tools. Your repo is accumulating technical debt RIGHT NOW.
When the Auditor Asks How You Govern AI Code, What Will You Say?
Connectory automates evidence collection and continuous compliance monitoring for AI-generated code — so your GRC team can answer framework questions with documented proof, not manual spreadsheets.
The Compliance Gap AI Opened in Your GRC Program
AI coding tools created a new category of risk that most compliance frameworks have not caught up to — and most GRC teams are not yet equipped to evidence.
No Evidence Trail for AI Code Decisions
SOC 2, ISO 27001, and NIST CSF all require documented evidence that code changes went through defined review and approval processes. When AI generates a significant portion of your code, the existing evidence model breaks down: pull request approvals don't capture whether AI output was reviewed with security intent, whether policy exceptions were properly authorized, or whether the review was substantive or perfunctory. Auditors are beginning to probe this gap explicitly.
67% of GRC teams have no documented control specifically addressing AI-generated code
Manual Compliance Reporting That Doesn't Scale
Evidence collection for AI code governance currently means manually reviewing commit histories, chasing down PR authors, and assembling spreadsheets from disparate sources — every audit cycle, from scratch. As AI tool adoption increases and PR volume grows, this approach becomes untenable. GRC teams end up either reducing evidence scope or delaying audit timelines. Neither outcome is defensible.
GRC teams spend an average of 34 hours per audit cycle manually collecting code review evidence
Framework Gaps for AI-Generated Code
NIST SP 800-218, SSDF, and emerging AI-specific guidance create new obligations that map awkwardly onto existing controls. How do you demonstrate that your secure development lifecycle applies to AI-assisted code? How do you show that AI tool usage is governed, not just permitted? Most compliance programs have no formal answer — leaving interpretive exposure that auditors and regulators are increasingly likely to test.
Only 14% of organizations have updated their SDLC controls to address AI code generation
Automated Compliance Infrastructure for the AI Code Era
Connectory gives compliance and GRC teams the continuous monitoring, automated evidence collection, and framework-aligned controls needed to govern AI-generated code with confidence.
Real-Time Compliance Posture Across Every Repository
The Org Dashboard's Compliance Lens gives GRC teams a live view of policy adherence rates, open findings by severity and framework control, exception history, and AI code volume trends — across every team and repository. Filter by control family, time period, or organizational unit. Generate compliance status snapshots on demand, formatted for committee reporting without manual data work.
Automated Control Evidence at the PR Level
SlopBuster generates structured, timestamped findings for every pull request — documenting what was analyzed, what was found, what control categories apply, and what remediation was taken. Each finding record is immutable and exportable. For SOC 2 CC8.1, ISO 27001 A.8.25, or NIST SSDF PW.7, you have machine-generated evidence of code review activity that satisfies auditor requests without manual reconstruction.
Merge Policy Enforcement With Authorized Exception Logging
Guardian enforces your compliance merge requirements as executable policy — blocking merges that violate defined thresholds and requiring authorized approver sign-off for every exception. The exception log captures approver identity, timestamp, finding severity, and stated justification in a tamper-evident record. This is the compensating control documentation auditors want to see when your developers override an automated gate.
Audit-Ready Report Generation on Demand
Generate framework-specific compliance reports with a single click: AI code provenance summaries, policy adherence trend analysis, exception history with approver chains, and finding resolution timelines. Reports are formatted for direct inclusion in audit evidence packages — no reformatting, no manual annotation. Covers SOC 2, ISO 27001, NIST CSF, SSDF, GDPR Article 25, and CCPA technical safeguard requirements.
From Compliance Gap to Audit Evidence in Four Steps
Connectory maps directly to your existing compliance program structure — adding automated evidence collection without requiring a process redesign.
Map Your Compliance Requirements to Connectory Controls
Work with Connectory's compliance team to map your applicable framework obligations — SOC 2 criteria, ISO 27001 Annex A controls, NIST CSF subcategories, or custom internal standards — to Connectory's policy and evidence model. Pre-built control mapping templates are available for the most common frameworks, reducing initial configuration to a review-and-confirm exercise rather than a ground-up design effort.
Configure Policy Rules That Enforce Your Control Requirements
Translate your compliance requirements into Guardian policy rules: severity thresholds, required reviewer roles, mandatory approval workflows for high-risk changes, and exception authorization chains. Policies are stored in version control alongside your application code — making them auditable changes subject to the same review process as any other compliance control. Every policy change is documented with author, reviewer, and rationale.
Automated Evidence Collection Runs on Every Pull Request
From the moment policies are deployed, Connectory collects structured compliance evidence on every pull request automatically. SlopBuster documents what was reviewed and what was found. Guardian documents every policy decision and exception. No developer action is required to generate evidence — it is a natural output of the existing code review workflow, collected in a format ready for auditor consumption.
Generate Audit Reports Without Manual Preparation
When your next audit cycle opens, compliance evidence is already assembled. Use the Org Dashboard to generate framework-specific reports covering the audit period — with finding trends, policy adherence rates, exception logs, and AI code provenance data pre-formatted for your evidence package. Export to PDF for auditor submission, or grant your auditor read-only dashboard access for direct evidence review.
Map Your Compliance Requirements to Connectory Controls
Work with Connectory's compliance team to map your applicable framework obligations — SOC 2 criteria, ISO 27001 Annex A controls, NIST CSF subcategories, or custom internal standards — to Connectory's policy and evidence model. Pre-built control mapping templates are available for the most common frameworks, reducing initial configuration to a review-and-confirm exercise rather than a ground-up design effort.
Configure Policy Rules That Enforce Your Control Requirements
Translate your compliance requirements into Guardian policy rules: severity thresholds, required reviewer roles, mandatory approval workflows for high-risk changes, and exception authorization chains. Policies are stored in version control alongside your application code — making them auditable changes subject to the same review process as any other compliance control. Every policy change is documented with author, reviewer, and rationale.
Automated Evidence Collection Runs on Every Pull Request
From the moment policies are deployed, Connectory collects structured compliance evidence on every pull request automatically. SlopBuster documents what was reviewed and what was found. Guardian documents every policy decision and exception. No developer action is required to generate evidence — it is a natural output of the existing code review workflow, collected in a format ready for auditor consumption.
Generate Audit Reports Without Manual Preparation
When your next audit cycle opens, compliance evidence is already assembled. Use the Org Dashboard to generate framework-specific reports covering the audit period — with finding trends, policy adherence rates, exception logs, and AI code provenance data pre-formatted for your evidence package. Export to PDF for auditor submission, or grant your auditor read-only dashboard access for direct evidence review.
Compliance Outcomes That Satisfy Auditors
GRC teams using Connectory reduce audit preparation burden, close framework gaps, and demonstrate continuous compliance rather than point-in-time snapshots.
of merge gate exceptions documented with approver chain and justification
reduction in manual evidence collection hours per audit cycle
faster audit response time with on-demand compliance report generation
undocumented AI code review decisions reaching production
Walk Into Your Next Audit With Every Answer Already Documented
Compliance teams that deploy Connectory before audit season don't scramble for evidence — they generate it on demand. See the Compliance Dashboard in a live demo and find out what your current AI code governance posture actually looks like.