Find Vulnerabilities That Traditional Scanners Miss
AI that reasons about your code and infrastructure like a senior security researcher. Not just pattern matching. Real understanding of how your systems work and where they can break.
❯ Scanning 847 files across 12 repositories...
❯ Mapping authentication flows...
❯ Tracing data paths through API endpoints...
⚠ Found: SQL injection via unsanitized parameter in /api/users
⚠ Found: Authentication bypass in session validation logic
✘ Critical: Hardcoded API key in deployment config
✔ 3 findings ranked by severity with remediation steps
❯ Generating report...
Traditional Scanning vs AI Security Analysis
Static analysis tools check code against known vulnerability patterns. AI understands how your application actually works.
What We Scan and How
AI-Powered Code Analysis
Our AI doesn't just match patterns. It reasons about your code the way a senior security researcher would, understanding data flows, authentication logic, and business context to find vulnerabilities that rule-based scanners miss.
- Deep semantic code understanding
- Cross-component vulnerability detection
- Business logic flaw identification
- Authentication bypass detection
Infrastructure Security Assessment
Comprehensive scanning of your cloud, on-premise, and hybrid environments. We identify misconfigurations, exposed services, and architecture weaknesses before attackers do.
- Cloud configuration review (Azure, AWS, M365)
- Network architecture analysis
- Firewall and access control audit
- Active Directory security assessment
CI/CD Pipeline Security
Integrate AI security scanning directly into your development pipeline. Catch vulnerabilities before they ship to production, without slowing down your team.
- Pre-deployment vulnerability blocking
- Automated pull request scanning
- Dependency vulnerability tracking
- Supply chain risk analysis
Compliance-Mapped Findings
Every vulnerability is mapped to relevant compliance frameworks so you know exactly how findings impact your regulatory posture.
- NIST 800-171 mapping
- CMMC level alignment
- HIPAA security rule mapping
- SOC 2 control impact analysis
How an AI Security Audit Works
Scope & Connect
We connect to your repositories, cloud environments, and infrastructure. You define the scope; we handle the rest.
AI Deep Scan
Our AI analyzes your code and infrastructure, mapping data flows, tracing authentication paths, and reasoning about potential attack vectors.
Severity Ranking & Remediation
Findings are ranked by real-world exploitability, not just theoretical risk. Each vulnerability comes with specific, actionable remediation steps.
Report & Review
You receive a detailed report with executive summary, technical findings, and a prioritized remediation roadmap. We walk through it with your team.
Every Business Has Code to Protect
Whether you build software in-house, use custom integrations, or rely on vendor applications, AI security audits find what others miss.
Software Teams
Scan your repos before every release. Find injection flaws, auth bypasses, and data leaks that static analysis misses. Integrate into your CI/CD pipeline.
Growing Businesses
As you scale, your attack surface grows. Regular AI audits catch misconfigurations, exposed APIs, and infrastructure drift before they become breaches.
Compliance-Driven Orgs
Map every finding to CMMC, NIST, HIPAA, or SOC 2 controls. Demonstrate due diligence with AI-powered evidence that auditors understand.
Stop Hoping Your Code Is Secure. Know It Is.
Traditional scanners find 60% of vulnerabilities on a good day. AI finds the other 40% that actually get exploited. Get your first AI security audit from Preferred Data.