AgenceEvana

AI for Security

Innovation
Traditional security tools generate noise and miss real threats. Our AI approach understands your code and business logic to catch what others miss, and gets smarter with each project as it learns your context.
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Precise

Refined with each iteration

Contextual

Understands your business logic

Actionable

Real findings, not noise

How it works

1
BaselineWe analyze your codebase to build a contextual understanding of your application.
2
DetectionAI models identify vulnerability patterns specific to your tech stack and business logic.
3
TriageFindings are ranked by real exploitability, not theoretical severity.
4
IntegrationResults feed directly into your IDE and CI pipeline for immediate action.
Contextual code analysis: understanding your logic, not just scanning line by line
AI-augmented detection: machine learning models trained on vulnerability patterns
Fewer false positives: alerts on real threats, not theoretical ones
Complex pattern recognition: catching multi-step vulnerabilities automated tools miss
Does AI replace human security experts?No. AI accelerates and improves expert work by reducing noise and detecting complex patterns. Human analysis remains essential for interpreting and prioritising results.
How does AI understand our business logic?We build a contextual reference specific to your codebase. The AI learns your patterns, dependencies, and technical specifics to reduce false positives.
What is a false positive and why does it matter?A false positive is an alert for something that isn't actually a risk. Traditional tools generate too many, exhausting your teams. Our AI approach targets real threats.
Does the AI approach integrate with our existing tools?Yes. Results integrate directly into your IDE and CI/CD pipeline for immediate action, without changing your workflows.
Discover our AI approach