91% of developers use AI tools. Your repo is accumulating technical debt RIGHT NOW.

For DevSecOps & AppSec

AI Writes 41% of Your Code. Who's Reviewing It for Security?

SlopBuster and Guardian catch security anti-patterns, insecure defaults, and vulnerability-prone code patterns in AI-generated pull requests — before they ever reach production.

41%of code now AI-generated — and growing
SOC 2 Type II
Zero Code Storage
OWASP Top 10 Coverage
Shift-Left by Default

The Security Gap AI Created

AI coding assistants accelerate development — but they also introduce vulnerability patterns that your existing tooling was never designed to detect.

AI Introduces Novel Vulnerability Patterns

Models like Copilot and Cursor confidently generate code with subtle flaws: hardcoded credentials buried in suggestions, insecure deserialization patterns, or outdated cryptographic primitives pulled from stale training data. These aren't random bugs — they're systematic blind spots baked into the model.

40% of AI-suggested code contains at least one security flaw (Stanford, 2023)

SAST Tools Miss AI-Specific Issues

Traditional static analysis tools were trained on human-authored code heuristics. AI-generated code often looks syntactically correct while embedding logic vulnerabilities — prompt injection vectors, overly permissive CORS policies, and missing authentication checks — that rule-based scanners consistently overlook.

Legacy SAST misses 62% of AI-generated logic vulnerabilities

Security Review Is the New Bottleneck

AI has multiplied developer output without multiplying your AppSec headcount. Manual security reviews that once covered dozens of PRs per sprint now face hundreds. The result: rubber-stamped reviews, delayed releases, or both. Neither outcome is acceptable.

3.2x increase in PR volume at teams adopting AI coding tools

Purpose-Built Security Analysis for AI-Generated Code

Connectory's products are designed specifically for the AI coding era — not retrofitted from tools built for a different threat model.

SlopBuster

OWASP-Mapped AI Code Analysis

SlopBuster analyzes every PR for OWASP Top 10 vulnerabilities with context-aware rules tuned specifically for patterns that emerge from LLM code generation. SQL injection via f-string formatting, path traversal in AI-written file handlers, XSS in generated frontend code — caught at review time, not in production.

Guardian

Policy-Enforced Merge Gates

Guardian blocks merges that violate your security policies — hard stops for critical CVEs, configurable thresholds for medium-severity findings, and bypass audit trails for every exception. Security requirements become enforceable infrastructure, not advisory guidelines developers scroll past.

Org Dashboard

Security Posture Dashboards

The Org Dashboard's Security Lens surfaces vulnerability trends by team, repository, and AI tool usage. Track mean-time-to-remediation for security findings, identify repos accumulating technical security debt, and generate compliance-ready reports without manual data aggregation.

GitHub App

Native GitHub Integration

Deploy in under 10 minutes via the Connectory GitHub App. No CI pipeline changes, no infrastructure to manage. Security analysis runs as a native check on every pull request — reviewers see findings inline, right where they're already working.

Security Analysis in Every Pull Request

Connectory integrates directly into your existing GitHub workflow. No process changes required for developers — security enforcement happens automatically.

1

Developer Opens a Pull Request

The moment a PR is opened or updated, the Connectory GitHub App triggers an analysis job. No manual invocation, no CI script changes. The developer keeps working — Connectory runs in the background.

2

SlopBuster Analyzes Security Patterns

SlopBuster applies OWASP-mapped rules and AI-specific vulnerability detectors to the diff. Findings are posted as inline PR comments with severity ratings, remediation guidance, and links to your internal security standards — giving developers actionable context, not just error codes.

3

Guardian Enforces Your Merge Policy

Based on finding severity and your configured policy thresholds, Guardian marks the PR check as passing or blocking. Critical findings halt the merge. Exceptions require an authorized approver and are logged to the audit trail — every bypass is documented.

4

Dashboard Tracks Security Trends Over Time

All findings feed into the Org Dashboard's Security Lens. Your AppSec team gets a live view of vulnerability trends across the org: which teams are improving, which repos are accumulating risk, and how AI tool adoption correlates with finding rates.

Security Outcomes That Move the Needle

Teams using Connectory report measurable improvements in security posture within the first quarter of deployment.

0%

reduction in security findings reaching production

0x

faster AppSec review cycles across the org

0%

of OWASP Top 10 patterns caught at PR review time

0 min

average time to full deployment via GitHub App

Make Every AI-Generated PR Pass the Security Bar

Stop relying on developer vigilance and after-the-fact SAST scans. Deploy Connectory and get automated, policy-enforced security analysis on every pull request — starting today.