From LLM vulnerability testing to AI governance compliance — we work alongside your security and AI teams to ensure your AI systems are safe, robust, and regulation-ready.
Not sure where your AI security gaps are? Book a free 2-hour AI Security Briefing. We'll assess your landscape and recommend a starting point.
Book Free Briefing →Identify, test, and remediate security vulnerabilities in your AI systems. From chatbots to autonomous agents — ensure they're safe before and after deployment.
Complete inventory of your AI systems, risk classification per OWASP Top 10 for LLM & Agentic Applications, threat model mapping, and EU AI Act gap analysis — delivered as a priority-ranked remediation roadmap.
Comprehensive AI security testing combining automated vulnerability scanning (Garak, DeepTeam, Moonshot) with manual expert red teaming across all OWASP LLM Top 10 categories.
Production-grade guardrails for input validation, output filtering, agent permission boundaries, MCP security, and continuous monitoring — integrated into your CI/CD pipeline.
24/7 AI threat monitoring, weekly automated red team runs, monthly posture reports, quarterly deep-dive assessments, and incident response.
Your AI product is your attack surface. We help you build secure-by-design LLM applications and prove their safety to enterprise customers and regulators.
Full OWASP Top 10 assessment of your AI product — architecture review, supply chain analysis, system prompt security, code-level vulnerability analysis, and enterprise readiness evaluation.
Multi-framework certification: Singapore AI Verify, EU AI Act conformity, NIST AI RMF alignment, ISO 42001 readiness — with audit-ready evidence packages and customer-facing trust docs.
Security-first AI development framework integrated into your engineering workflows — automated testing pipeline, pre-commit hooks, model evaluation framework, and security champion training.
National-scale AI safety testing, governance frameworks, and capacity building for government agencies deploying AI systems.
End-to-end national AI safety program: system inventory, centralized testing infrastructure (Moonshot, AI Verify), custom benchmarks, multilingual red teaming, and cross-agency compliance dashboards.
Comprehensive national AI governance framework adapted from Singapore Model AI Governance and EU AI Act requirements — customized for your legal and institutional context.
Specialized engagements for specific AI security needs — from MCP security to supply chain audits and custom benchmarks.
Security testing for Model Context Protocol server deployments — authentication, authorization, data isolation, scope enforcement, and trust boundary validation.
Audit your AI model supply chain — model provenance, dataset integrity, fine-tuning data validation, plugin/tool dependency scanning.
OWASP LLM Top 10 workshops, hands-on red teaming bootcamps, and AI-SDLC implementation training for your team.
Pre-negotiated response capability for AI security incidents. Threat hunting, forensic analysis, containment, regulatory notification support.
Risk classification, documentation requirements, conformity assessment preparation, and timeline management for EU AI Act compliance.
Domain-specific, jurisdiction-specific, or language-specific AI safety benchmarks with test dataset curation and platform integration.
Cross-framework mapping saves you from running separate compliance programs.
| Framework | Source | Coverage |
|---|---|---|
| OWASP Top 10 for LLM Applications (2025) | OWASP Foundation | 10 critical LLM vulnerability categories |
| OWASP Top 10 for Agentic Applications (2025) | OWASP Foundation | 10 critical agentic AI risk categories |
| AI Verify Testing Framework | Singapore IMDA / AI Verify Foundation | 11 governance principles |
| EU AI Act | European Commission | Risk-based AI regulation (2024–2027) |
| NIST AI Risk Management Framework | US NIST | Govern, Map, Measure, Manage |
| ISO 42001 | ISO | AI management system standard |
| MLCommons AI Safety Benchmarks | MLCommons | Standardized safety evaluation suites |
| MITRE ATLAS | MITRE | Adversarial Threat Landscape for AI Systems |