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
Autonomous vulnerability scanning and PR generation
PR review for quality, security, and best practices
Legacy COBOL to Java migration with testing
Incident triage and root cause analysis
Agent Canvas: manage multiple agents in one workspace
Cloud agents run even when your machine is off
Schedule recurring tasks via cron or event triggers
Trigger workflows from GitHub, Slack, PagerDuty
Model-agnostic: supports Claude Code, Codex, Gemini CLI, MiniMax M2.7
Isolated sandbox execution on VM or cloud
Fine-grained access control and budget guardrails
Audit trails for enterprise compliance
Self-hosted deployment in your VPC
Open-source SDK for custom agent development
In-chat model switching with saved LLM profiles
