Features
Continuous adversarial testing after every deployment
Autonomous AI agents that discover and exploit vulnerabilities
PoC-verified findings with full attack chains
Auto-remediation via patches shipped as PRs
Custom threat modeling tailored to business logic
CI/CD integration with config file (.pensar.yml)
Sandboxed execution environment
Real-time dashboard and console (Console V2)
Slack notifications and PR comments for findings
Retest capability for specific endpoints
Open-source CLI tool for terminal-based testing
Attack surface mapping across endpoints, APIs, infrastructure
Agentic security testing (prompt injection, tool misuse, etc.)
Full attack chain analysis across services
Living model of attack surface over time
Hybrid AI (symbolic + generative) vulnerability detection
85%-accurate security autofixes via Snyk Agent Fix
Risk-based prioritization (reachability, exploit maturity)
19+ supported programming languages
Custom rules with AI autocomplete via DeepCode AI Search
Context-aware vulnerability scanning
Automated code fix suggestions in IDE plugins
Privacy-safe: no training on customer code
CI/CD, SCM, and IDE integrations
AI-generated code scanning
MTTR reduction of 84% or more
Multi-model AI ensemble for accuracy
Snyk Remediation Agent CLI for bulk OSS fixes
Agentic Development Security (ADS) capabilities
Integration with Anthropic Claude Enterprise
