AI Security Assessment Services
AI Security Assessment Services for GenAI, Agentic AI & MLOps
Secure your AI initiatives with hands-on testing and governance-ready assurance. We help you validate real-world exploitability, harden the AI stack, and build a scalable security and compliance posture for production AI.
CONTROL AI RISK ACROSS THE ENTIRE LIFECYCLE
AI systems introduce security risks beyond traditional applications. These risks include prompt injection, sensitive data leakage, insecure tool or function calls in agent workflows, over permissioned AI services, model and pipeline tampering, and weak governance evidence for leadership and auditors. Our AI Cybersecurity Services help you identify real exploit paths, reduce operational risk, and establish security controls across the AI lifecycle from design to deployment and monitoring.
Our AI Security Services
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GenAI and Agentic AI Red Teaming
We simulate realistic attacks against your GenAI applications and agent workflows to uncover how prompts, tools, memory, retrieval, permissions, and output handling can be abused to trigger unsafe actions or expose sensitive data. We test for jailbreak and injection paths including indirect injection, tool misuse, weak session isolation, inadequate input and output controls, data boundary failures, and excessive agent privileges across connected systems. You receive a prioritized report with exploit narratives and proof where feasible, risk ranked findings, recommended guardrails and secure design patterns, and validation steps your engineers can use to confirm fixes. -
MLOps Infrastructure Security Review
We assess the security of your AI delivery pipeline and runtime environment. This includes CI and CD for ML, model and artifact storage, dependency integrity, secrets management, IAM and RBAC, container and Kubernetes posture, network segmentation, monitoring and logging, and runtime hardening. The focus is preventing model and pipeline compromise, data leakage, misconfiguration exposure, and weak operational controls that attackers target. You receive a practical hardening roadmap with prioritized remediation actions, ownership guidance, and phased improvements across pipeline, platform, and runtime security. -
AI Security Regulatory and Maturity Assessment
We evaluate your AI security and governance maturity across policy, risk management, accountability, supplier and vendor controls, data governance, model lifecycle controls, human oversight, incident readiness, and evidence collection. We translate gaps into a clear maturity roadmap aligned to business risk and compliance exposure. You receive a maturity scorecard, a prioritized improvement plan, and a governance ready documentation structure that covers controls and evidence to support internal assurance and external stakeholder expectations.
