HCLTech and CrowdStrike have expanded their strategic partnership by integrating CrowdStrike Falcon Guardian with HCLTech's AI Security and Resilience services. Building on their Continuous Threat Exposure Management services launched in March 2026, the collaboration brings AI detection and response capabilities to help enterprises secure AI applications, models and data while addressing emerging risks.

HCLTech and CrowdStrike Deepen AI Security Collaboration

HCLTech and CrowdStrike announced an expansion of their strategic partnership aimed at advancing AI security and resilience across enterprise environments.

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The enhanced collaboration integrates CrowdStrike Falcon Guardian with HCLTech's AI Security and Resilience services to address what both companies identify as a growing challenge: AI becoming a new enterprise attack surface that requires comprehensive protection.

Building on March 2026 Foundation

This expansion builds directly on the Continuous Threat Exposure Management (CTEM) services the two companies launched in March 2026.

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The latest phase brings enterprise AI security capabilities deeper into security operations by combining Falcon Guardian's AI detection and response (AIDR) capabilities with HCLTech's established frameworks. The integration leverages HCLTech's TRiBe framework for AI trust and governance, risk management and resilience, alongside VERITY Frontier AI Resilience, a cybersecurity operating model designed to continuously identify, validate and mitigate exploitable cyber exposures across hybrid environments.

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Comprehensive Service Delivery Through Fusion Centers

The partnership combines Falcon Guardian with HCLTech's cybersecurity advisory, AI governance, implementation and managed services delivered through HCLTech's Cybersecurity Fusion Centers.

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This approach helps enterprises secure AI applications, models, agents, identities and data while improving visibility into emerging risks. The service architecture addresses both technical implementation and strategic oversight, positioning organizations to defend against AI-powered threats as they scale AI adoption.

Industry Perspective on AI Attack Surface

Daniel Bernard, Chief Business Officer at CrowdStrike, emphasized the urgency of the security challenge. "AI is becoming a new enterprise attack surface, and securing it requires visibility and protection everywhere AI operates," Bernard stated.

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He highlighted that CrowdStrike pioneered AI Detection and Response to secure the full AI attack surface, and that combining this with HCLTech's global cybersecurity expertise enables broader enterprise adoption as organizations operationalize AI at scale.

Dual-Sided AI Risk Management

Amit Jain, EVP and Global Head of Cybersecurity at HCLTech, outlined the dual nature of AI security challenges facing enterprises. "The next generation of enterprise security will require organizations to address both sides of the AI risk equation, defending against AI-powered threats while securing the AI systems they deploy," Jain explained.

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He positioned the collaboration as bringing together complementary strengths in cybersecurity innovation and enterprise resilience to help organizations scale AI securely and responsibly while driving greater operational resilience and business confidence.

What This Means for Enterprise AI Adoption

The expanded strategic partnership signals recognition that AI security and resilience require integrated solutions spanning detection, governance and operational management. As enterprises accelerate AI deployment across applications and workflows, the combination of CrowdStrike's specialized AI detection and response capabilities with HCLTech's implementation and managed services provides a framework for addressing security concerns that might otherwise slow adoption. Organizations implementing AI at scale now face the dual challenge of protecting their AI systems from exploitation while simultaneously defending against increasingly sophisticated AI-powered attacks targeting traditional infrastructure. Watch for how enterprises balance AI innovation velocity with security requirements, and whether integrated service models like this become the standard approach for managing AI trust and governance across hybrid environments.

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