From strategy to adversarial prompt testing, we help organizations adopt AI securely — protecting models, data, and decisions across the entire AI lifecycle.
of enterprises deploying AI lack a formal AI security strategy
Gartner 2025
increase in AI-targeted attacks year over year
MITRE ATLAS
of LLM deployments vulnerable to prompt injection
OWASP 2025
average cost of an AI-related data breach
IBM 2025
Define a security-first AI strategy that protects cloud environments, data pipelines, and AI workloads. Map AI-specific threats to your existing security architecture and build a roadmap for resilient AI adoption.
Design an AI-enabled operating model that embeds governance, risk, and compliance into security workflows. Align people, processes, and platforms around responsible AI operations.
Assess and harden Large Language Model deployments against prompt injection, data leakage, model poisoning, and hallucination risks. OWASP LLM Top 10 aligned testing and controls.
Evaluate AI systems against emerging regulatory frameworks — EU AI Act, NIST AI RMF, UAE AI governance standards. Classify risk tiers, map controls, and build accountability structures.
Adversarial testing of AI/ML systems to uncover vulnerabilities before attackers do. Jailbreak testing, data extraction attacks, prompt injection, model evasion and abuse.
Deploy machine learning models for real-time anomaly detection, behavioral analytics, and automated incident response across cloud and hybrid environments. Reduce MTTD from hours to seconds.
Our AI security services map directly to global and regional AI governance standards.
Whether you're deploying your first LLM or scaling AI across the enterprise — we'll make sure it's done right.