Cohesity, a leading provider of AI-driven data security, has teamed up with Datadog, the cloud observability and security platform, to deliver enterprise-grade AI Agent Resilience. The partnership combines Datadog’s real-time monitoring with Cohesity’s automated data recovery, ensuring production AI systems remain secure, reliable, and compliant.
As AI agents move from pilot projects to critical enterprise operations, they increasingly access sensitive data stores, APIs, and infrastructure directly. This shift raises a significant challenge: AI processes operate at machine speed, and even minor errors like schema misalignment, logic faults, or misclassified data can cause rapid, widespread impact. While visibility is essential, organizations need the ability to respond immediately to anomalies to maintain system integrity.
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Through this collaboration, Datadog continuously monitors cloud infrastructure, application services, AI workloads, and object storage. Enterprises can detect unusual behaviors such as unexpected deletions, abnormal mutations, or erratic agent actions. Cohesity extends this monitoring with automated, API-driven recovery workflows, restoring affected data to verified point-in-time states quickly and accurately.
The combined solution offers a closed-loop resilience framework that includes:
- Continuous monitoring and anomaly detection across AI workloads and infrastructure
- Automated orchestration from alert to resolution
- Precise recovery across VMs, databases, files, SaaS apps, object stores, and AI data
- Comprehensive audit trails documenting detection, response, and restoration
For instance, when an AI agent accidentally removed critical records from a cloud object store due to a new data schema, Datadog detected the drop in object count and triggered a Cohesity recovery workflow. The system restored the deleted records from immutable snapshots in minutes, without affecting other data or requiring manual intervention.
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“The only way to embed AI in core enterprise workflows confidently and at scale is to strengthen your cyber resilience simultaneously,” said Vasu Murthy, Chief Product Officer, Cohesity. “Datadog provides the real-time signals that something has gone wrong. Cohesity enables surgical recovery to a trusted state. Together, we’re empowering enterprises to build and operate AI systems they can truly trust secure, compliant, and always available.”
“Observability is foundational to operating AI agents in production,” said Yrieix Garnier, VP of Product at Datadog. “By combining Datadog’s monitoring and automation with Cohesity’s immutable recovery capabilities, enterprises can act on insights immediately, improving reliability and trust in AI-driven operations.”
Cohesity ensures resilience across all enterprise data types, including VMs, databases, files, SaaS applications, AI memory, and model configurations. As AI agents increasingly operate across hybrid and multicloud environments, this integration enables precise recovery while maintaining compliance, governance, and business continuity. Organizations can now scale AI innovation with confidence, knowing that operational disruptions are swiftly detected and resolved.
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