Snyk customers find
real risks when they
switch to Corgea
As security shifts left, choosing the right SAST matters. Snyk is well-known—but Corgea brings next-gen AI to the table, cutting false positives and boosting accuracy.
Feature Comparison
Snyk
Corgea
SAST Scanning
Static Rules
AI-Native
Business & Code Logic Scanning
X
✔
Broken Auth Scanning
X
✔
Malicious Code Scanning
X
✔
Secrets Scanning
✔
✔
False Positive Rate
>30%
<5%
AI-powered False Positive Detection
X
✔
Auto-fixes
Accuracy Not Reported
+90%
Custom policies in natural language
X
✔
Advanced Blocking Rules
✔
✔
Automated SLA Management
X
✔
Developer Tools (IDE Extensions, CLI)
✔
✔
API Access
✔
✔
Industry’s Lowest
False Positives Rates
Corgea uses LLMs to understand code contextually, catching complex issues like business logic flaws with <5% false positives across 20+ languages.
Snyk relies on rule-based detection and ML from DeepCode. It performs well on known patterns but struggles with custom logic and produces more noise, especially in niche stacks.
AI Powered Policies
Without the Complexity
Corgea lets teams define policies in plain English with PolicyIQ—no custom rule writing needed. Business risk is baked into every scan.
Snyk offers fixed rule sets with limited customization unless you write Rego policies. AppRisk, its risk-mapping tool, is an enterprise add-on.
Auto Fixes
That Actually Work
Corgea integrates into PRs and CI/CD with AI-generated patches and minimal false positives, boosting dev velocity.
S
Snyk provides solid IDE and CLI tools, but its SAST fixes are mostly manual. AI fixes exist but are less mature than Corgea’s.
Testimonial
This is groundbreaking stuff that everyone should be paying attention to!
James Berthoty
Analyst @ Latio Tech
Snyk customers find
real risks when they switch to Corgea
As security shifts left, choosing the right SAST matters. Snyk is well-known—but Corgea brings next-gen AI to the table, cutting false positives and boosting accuracy.
Detection Accuracy
& False Positives
Corgea uses LLMs to understand code contextually, catching complex issues like business logic flaws with <5% false positives across 20+ languages.
Snyk relies on rule-based detection and ML from DeepCode. It performs well on known patterns but struggles with custom logic and produces more noise, especially in niche stacks.
Policy Configuration
& Business Risk
Corgea lets teams define policies in plain English with PolicyIQ—no custom rule writing needed. Business risk is baked into every scan.
Snyk offers fixed rule sets with limited customization unless you write Rego policies. AppRisk, its risk-mapping tool, is an enterprise add-on.
Developer
Experience
Corgea integrates into PRs and CI/CD with AI-generated patches and minimal false positives, boosting dev velocity.
Snyk provides solid IDE and CLI tools, but its SAST fixes are mostly manual. AI fixes exist but are less mature than Corgea’s.