The Algorithm vs. Cognizant

The TriZetto breach is the most detailed public record of what Cognizant's security operations model actually produces in a healthcare context. TriZetto — a Cognizant subsidiary that processes health insurance claims for major payers — was breached in October 2019. The breach was not discovered for twelve months. An adversary had persistent access to one of the largest claims processing systems in the United States for a year. During that time, the adversary had access to claims data, member records, and the processing infrastructure that determines payment for every claim the affected payers processed. The ransomware that was ultimately deployed in October 2020 was not the breach — it was the exit strategy. The attacker had already extracted what they needed. The ransomware was deployed when the adversary was ready to leave. Twelve months of undetected access to claims data for millions of beneficiaries is not a technology failure. It is the output of a security operations model calibrated for cost efficiency rather than adversary detection. The monitoring was there. The alerts were there. The response capability did not materialize until a year after entry.

The Clorox attack in 2023 added a different kind of evidence. Cognizant's helpdesk — providing IT support services for Clorox — gave network credentials to a social engineering attacker posing as a new employee. The attack was not sophisticated. The attacker called the helpdesk and asked for access. The helpdesk operator followed a process designed to maximize ticket resolution speed and gave out the credentials. The attacker used those credentials to move laterally through Clorox's network and execute an attack that resulted in product shortages costing Clorox $380 million in lost sales. Clorox sued Cognizant. The lawsuit reflects a governance failure, not a technology failure: the process that the Cognizant helpdesk operator followed was the process they were trained to follow. It did not include identity validation steps that would have caught the social engineering. The identity validation was not there because identity validation reduces throughput, and throughput is the metric on which the helpdesk is optimized. Cost optimization at the process level created the vulnerability that cost the client $380 million.

Cognizant's healthcare technology business is built primarily on TriZetto's proprietary platforms — FACETS and QicLink — which create a form of lock-in that is qualitatively different from a typical vendor dependency. Payers running on FACETS are not dependent on Cognizant for support and upgrades alone. They are dependent on TriZetto's data model, TriZetto's integration architecture, and TriZetto's API contracts. Every integration that a payer has built over years — to their pharmacy benefit manager, to their provider networks, to their care management systems — is built against TriZetto's proprietary interfaces. Migrating off TriZetto is not a technology project. It is a full business transformation that requires rebuilding every integration, migrating years of claims history, and retraining every operational team simultaneously. Cognizant knows this. The pricing power it creates is substantial. The service quality that results from a captive client base is, as documented, not commensurate with the pricing.

The offshore transition model that Cognizant uses to reduce costs follows a predictable pattern that plays out across managed services engagements with consistency. US-based teams with domain context, client relationships, and institutional knowledge are replaced by offshore teams with lower billing rates and no institutional knowledge. The transition is sold as seamless. It is not seamless. Domain knowledge walks out the door with the departing US team. Response times increase because the offshore team is working across time zones. Defect rates rise because the offshore team is learning the system while maintaining it. The client is unhappy but too embedded in the Cognizant stack — and in TriZetto's platform — to switch. This is the steady-state of a Cognizant managed services engagement: declining quality at increasing dependency, maintained by exit costs that are prohibitive to exercise. The model is not a failure of execution. It is the execution of a model designed to make switching more expensive than staying.

Cognizant vs. The Algorithm

What Switching From Cognizant Actually Looks Like

Migrations from Cognizant typically begin with a security or quality event that makes the cost of staying higher than the cost of switching. The Algorithm's entry point is a two-week assessment: we audit the current security posture, map the TriZetto or custom platform dependencies, and establish a migration architecture that preserves business continuity while eliminating the vendor dependency. In weeks one through four, we deploy SentienGuard across the existing environment — immediately improving the security monitoring that the breach record shows is insufficient. In parallel, we begin building the successor architecture on open standards that eliminate the platform lock-in. By week twelve, the successor system is in parallel production alongside the existing platform. The cutover is planned for a defined window with rollback capability. Cognizant is off the engagement. The client owns the architecture, the compliance documentation, and the monitoring infrastructure.

What Buyers Ask Before Switching From Cognizant

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We've seen how these engagements go. The facts are the facts — and there's a better path forward.