AI-Powered Code Security. Beyond Traditional SAST.
Traditional static analysis tools generate noise. Securseed's AI-powered source code review understands code context, tracks data flows, and identifies vulnerabilities that matter — with actionable remediation guidance, not just alerts.
Capabilities
What Sets Us Apart
Contextual Analysis
Our AI understands code semantics, business logic, and data flow — finding vulnerabilities that pattern-matching tools miss entirely.
Taint & Data Flow Tracking
Trace untrusted input from source to sink across your entire codebase. Identify injection, XSS, and data leakage paths with full call-chain visibility.
Low False Positive Rate
AI-driven contextual analysis reduces false positives dramatically — your developers fix real vulnerabilities, not chase phantom alerts.
Security Best Practices
Beyond vulnerabilities — identify insecure coding patterns, hardcoded secrets, weak cryptography, and configuration issues across your codebase.
Multi-Language Support
Deep analysis across major languages and frameworks. Purpose-built rules for each ecosystem, not generic pattern matching.
Remediation Guidance
Every finding includes specific, actionable fix guidance with code examples — ready for your developers to implement immediately.
Outcomes
What You Get
Every engagement delivers actionable results — not just reports. We focus on outcomes that make your organisation measurably more secure.
Find vulnerabilities in code before they reach production
Reduce false positives with AI-powered contextual analysis
Track data flows across your entire application to identify injection paths
Get actionable remediation guidance with code examples for every finding
Integrate into CI/CD for automated security gates on every pull request
Meet secure development compliance requirements (ISO 27001, SOC 2)
See It in Action
Request a personalised demo to see how Securseed can transform your security operations.