We help teams detect risky AI usage, review AI-generated code, secure servers, and build audit trails around the systems that matter.
Comprehensive security and governance services for teams building with AI.
Multi-pass review of AI-written code for vulnerabilities, logic flaws, and quality issues before it reaches production.
Identify injection risks, authentication weaknesses, insecure configurations, and OWASP Top 10 vulnerabilities.
Scan for leaked API keys, credentials, tokens, and sensitive data across codebases and configurations.
Verify that business logic, access controls, and data flows behave as intended — not just as written.
Assess server configurations, deployment pipelines, and infrastructure for security gaps and best practices.
Review web applications for XSS, CSRF, injection, auth bypass, and other common attack vectors.
Identify and map unauthorized AI tool usage, risky data flows, and unmonitored AI services in your organization.
Design and implement policy checks, approval gates, and controlled execution for AI agent actions.
Build structured audit trails with evidence-based findings, prioritized risk levels, and actionable reports.
Recommend fixes with clear priorities and optionally help implement and verify remediation with your team.
Define what to review — code repositories, servers, workflows, AI usage patterns, or agent configurations.
Deep review of code, server configurations, workflows, and AI tool usage with multi-pass analysis.
Identify vulnerabilities, misconfigurations, policy gaps, and shadow AI usage with documented evidence.
Deliver a structured report with severity levels, risk context, and clear descriptions of each finding.
Provide specific, actionable remediation steps prioritized by impact and effort.
Optionally help your team implement fixes and verify that remediations are effective.
Purpose-built tools and methodologies for AI-era security challenges.
Policy checks with allow, review, and block decisions. Agent monitoring, audit history, proof verification, and dashboard visibility for every action.
Identify unauthorized AI tools, risky traffic patterns, high-volume data uploads, undocumented AI service usage, and generate alerts.
Static analysis, secret detection, LLM-assisted logic review, finding correlation, and actionable reports with evidence.
Consent-gated target scoping, authorized runs, evidence normalization, finding review, and human-approved report export.
Repository mapping, knowledge graph construction, impact analysis, codebase context, and safer refactoring support for thorough review.