GenAI gives adversaries powerful tools to craft highly targeted, sophisticated attacks at unprecedented speed and scale. We're seeing AI-generated phishing, automated vulnerability discovery and deepfake-based social engineering become increasingly common. Understanding how attackers weaponize GenAI is foundational to building smarter, faster defenses for our clients.

Zero Trust for AI means applying "never trust, always verify" to every AI interaction—validating users, data inputs and business justifications before granting access. We implement this through AI identity access management, role-based access controls and continuous monitoring, ensuring that only authorized personnel interact with approved AI resources while maintaining rigorous data integrity throughout.

We have a global team of 7,000+ cybersecurity professionals, each bringing AI-trained skills to address complex security challenges. Backed by over 26 years of cybersecurity expertise and a track record with 700+ clients, our team delivers deep, practical knowledge across threat intelligence, SecOps, governance and AI-driven defense strategies.

Absolutely. We help clients automate security operations using AI-driven SecOps tools, SOC bots and predictive analytics. This enables proactive threat identification and faster incident response—even against high-velocity attacks. Our approach builds a resilient, self-improving SOC capability that continuously adapts as the threat landscape evolves around your organization.

Responsible AI is embedded in our methodology, not added as an afterthought. We help clients establish clear ethical guidelines, enforce transparency in AI decision-making and implement rigorous oversight mechanisms. Our governance services prioritize fairness, accountability and security—ensuring your AI tools remain trustworthy, auditable and fully aligned with your organization's corporate values.

Our SecIntAI framework is a structured, proprietary approach to AI-driven security intelligence. It integrates GenAI capabilities directly into security operations—enabling smarter threat detection, faster incident response and continuous adaptive defense. Combined with our UMDR solution and AIOps strategies, it gives clients a cohesive, intelligence-led security architecture built for today's AI threat landscape.

Yes, NIST AI RMF alignment is central to our AI governance and risk management approach. We help clients conduct AI impact assessments, establish data governance policies and build compliance roadmaps that meet NIST standards. Our goal is to make Responsible AI governance an embedded operational practice—not a one-time compliance checkbox.

Start with a comprehensive AI governance and readiness assessment. We work with clients to evaluate their current environment, identify gaps and define a clear, tailored strategy. From there, we establish robust policies, controls and training—ensuring AI adoption is secure, compliant with frameworks like NIST AI RMF and aligned with your specific business objectives.

We apply AI-driven cybersecurity services to monitor supply chain activity in real time—detecting anomalies, flagging vulnerabilities and identifying threat leakage before damage occurs. Our approach includes code signaling, proactive vulnerability assessments and cloud guardrails, giving clients comprehensive visibility and control across their entire supply chain security ecosystem.

We have a proven track record with 700+ clients across industries, bringing over 26 years of cybersecurity expertise to each engagement. Our proprietary frameworks, including SecIntAI and our UMDR solution, have been developed and refined through real-world deployments—giving clients battle-tested AI-driven security capabilities rather than theoretical approaches.