Coverage across your development workflow
Catch vulnerabilities at the earliest possible moment—from the first line of code to deployment
IDE Integration
Real-time scanning as developers write code
- Inline diagnostics and severity indicators
- One-click quick fixes
- AI-assisted remediation prompts
- Scan on save or on demand
Pull Request Review
Automated security review before code merges
- Findings posted as PR comments
- Suggested fixes inline
- Severity-based blocking
- Easy GitHub integration
CI/CD Pipeline
Integrate into any build and deployment process
- Jenkins, GitLab, CircleCI, and more
- JSON output for automation
- Configurable severity thresholds
- Fail builds on critical findings
Security feedback where developers work
AI agents trace data flows across your codebase to find vulnerabilities that span multiple files—then surface findings with actionable remediation
Real-time IDE scanning
Inline diagnostics, severity indicators, and one-click fixes as you write code. Catch vulnerabilities the moment they're introduced—before they ever leave your editor.
Automated PR review
Security findings posted as PR comments with suggested fixes before code merges. Block risky changes automatically based on severity thresholds.
Find what other scanners miss
Focused specifically on LLM security vulnerabilities that general SAST tools overlook
Prompt Injection
Detect paths where untrusted input reaches LLM prompts without proper sanitization or boundaries.
PII Exposure
Find code that may leak sensitive user data to LLMs or log confidential information.
Jailbreak Risks
Identify weak system prompts and guardrail bypasses that could allow harmful outputs.
Excessive Agency
Detect when LLMs have overly broad tool access or missing approval gates for sensitive actions.
Data Exfiltration
Find indirect prompt injection vectors that could extract data through agent tool calls.
Insecure Output Handling
Detect when LLM outputs are used in dangerous contexts like SQL queries or shell commands.
Security that scales with AI adoption
Find vulnerabilities where fixes are 10x faster and cheaper—without slowing down development
Deep data flow analysis
AI agents trace how user inputs flow through your code to LLM prompts, catching subtle vulnerabilities that span multiple files and modules—not just surface-level pattern matching.
LLM-specific detection
Purpose-built for AI security risks that general SAST tools miss. High signal, low noise—no alert fatigue from irrelevant findings.
Embedded in developer workflow
Security feedback in the IDE and PR comments with actionable remediation. Developers fix issues without context switching or separate dashboards.
Complete development coverage
From the first line of code to deployment. IDE catches issues immediately, PR review prevents merges, CI/CD ensures nothing slips through.
Secure AI development from day one
Get complete coverage across your development workflow—IDE, pull requests, and CI/CD.