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Cognizant and CrowdStrike Just Built a Security Layer for the Agentic Enterprise

Cognizant and CrowdStrike Just Built a Security Layer for the Agentic Enterprise

"An unsecured AI agent isn't a productivity gain, it's an open door."

Every enterprise AI deployment creates a new attack surface. The AI agent that automates a workflow can be manipulated through prompt injection.

The model it runs on can be probed for vulnerabilities. The infrastructure beneath both can be compromised in ways that traditional security tools were never designed to detect. Cognizant and CrowdStrike announced on June 2, 2026 that they are building the security architecture designed to cover all three layers at once.

The expanded alliance brings the CrowdStrike Falcon platform into Cognizant's AI Factory and Managed Cybersecurity Services, creating a unified security architecture that covers the AI agent, the model it runs on, and the infrastructure beneath both.

The scope of the coverage is the most significant aspect of the announcement. Most enterprise AI security tools address one layer. This alliance is designed to address all three simultaneously.

"An unsecured AI agent isn't a productivity gain, it's an open door," said Surya Gummadi, President of Americas at Cognizant. "By bringing the CrowdStrike Falcon platform together with our AI Factory and Neuro Cybersecurity platform, we're giving clients a way to build, run and secure autonomous AI across the agent, the model and the infrastructure beneath it."

The alliance delivers across three distinct security functions. The first is AI-native managed security operations, bringing Charlotte AI, CrowdStrike's Agentic Security Workforce, and Falcon Next-Gen SIEM into Cognizant's managed cybersecurity delivery operations.

AI agents handle alert triage, threat intelligence, vulnerability prioritization, and data onboarding within guardrails set by Cognizant's security architects. The result is always-on security operations that scale with the volume of threats rather than with the size of the human analyst team.

The second is governance across the AI Factory. Falcon AI Detection and Response protects the prompt and agent interaction layer, the entry point that adversaries are increasingly targeting through prompt injection.

AI model scanning and shadow AI detection give enterprises visibility into every model, tool, and agent running in their environment, including the ones that were deployed without IT's knowledge.

The third is a sovereign security layer for regulated industries. For financial services, healthcare, and government clients running private AI deployments on-premises, the Falcon platform extends unified protection to the compute, containers, and data pipelines that power private models, inside the client's own data center boundary.

"The future enterprise will be powered by AI agents," said Daniel Bernard, Chief Business Officer at CrowdStrike. "The challenge isn't building them, it's securing them."

The Partnership Context

The expanded alliance builds on a partnership Cognizant and CrowdStrike established in 2025. Cognizant was named CrowdStrike's 2026 Americas Velocity Partner of the Year, a recognition that reflects both measurable pipeline growth and the speed at which the two companies have brought joint capabilities to market.

The Travelport engagement announced in May 2026, where Cognizant is deploying Anthropic's Claude across travel retailing and distribution infrastructure, illustrates the breadth of Cognizant's AI Factory deployment model that this security alliance now covers.

Key Takeaways

  • Cognizant and CrowdStrike unite to enhance security for enterprise AI deployments.
  • The partnership addresses vulnerabilities across AI agents, models, and underlying infrastructure.
  • Implement AI-native managed security operations to improve threat detection and response.
  • Unsecured AI agents pose significant risks, underscoring the need for robust security measures.
  • Collaborate with unified security architecture to safeguard autonomous AI systems effectively.