Cohesity Partners with Datadog to Deliver AI Agent Resilience Through Enterprise-Grade Observability and Rapid Recovery

Key Terms

observability technical

Observability is a company’s ability to see and understand what its software systems are doing by collecting and analyzing signals like logs, metrics and traces. For investors it matters because strong observability reduces the risk of downtime, hidden bugs or security issues, supports faster fixes and efficient scaling, and therefore can protect revenue, lower costs and signal disciplined operations — like having clear gauges and alarms on a complex machine.

ai agents technical

AI agents are computer programs designed to perform tasks or make decisions automatically, often by learning from data and adapting to new information. They act like virtual assistants or robots that can handle complex activities without human intervention, which can help businesses and individuals save time and improve efficiency. For investors, AI agents matter because they can enhance decision-making and automate processes that influence markets and financial outcomes.

api-driven technical

API-driven describes a product, service, or business built around application programming interfaces (APIs) — digital doorways that let software systems talk, share data and automate tasks — rather than manual handoffs or one-off integrations. For investors it signals easier scaling, faster partnerships and lower per-unit operating costs because new customers or features can be added like snapping in modules; it also highlights dependence on technical partnerships and the need for robust cyber-security.

telemetry technical

Telemetry is the automatic collection and transmission of measurements from remote devices, systems, or patients to a central system for monitoring and analysis—like a car sending engine, speed and location data back to a dashboard. For investors it matters because telemetry provides real-time evidence of product performance, safety and user behavior, helping assess revenue potential, operational risk, regulatory compliance and whether a product is meeting market demand.

virtual machines technical

A virtual machine is a software-created computer that runs inside a physical server, allowing one piece of hardware to behave like many separate computers. For investors, virtual machines matter because they enable companies to scale computing capacity, reduce costs, and deploy new services quickly—similar to renting multiple apartments inside a single building instead of buying separate houses, which can improve efficiency and influence profitability and capital needs.

immutable snapshot technical

An immutable snapshot is a fixed, unchangeable copy of a digital record or dataset taken at a specific moment and stored so it cannot be altered afterward. Think of it as a dated photograph of information sealed in a tamper-proof box; for investors it provides a reliable, verifiable record for audits, regulatory reviews, and due diligence, reducing the risk of post-event manipulation or dispute over what was disclosed.

vector databases technical

A vector database is a specialized storage system that keeps information as compact numerical patterns so computers can quickly find things that are similar in meaning, style, or context rather than by exact words. For investors, that matters because it powers faster, more accurate searches and AI analysis of large document sets—helping spot trends, risks, or opportunities in news, filings and other unstructured data much like a smart index or trained search engine.

hybrid and multicloud technical

Hybrid and multicloud describes an IT setup that combines private infrastructure (like a company’s own servers) with services from one or more external cloud providers, allowing workloads and data to move between environments as needed. For investors, it signals how a business can balance cost, flexibility and risk—like using both a personal car and ride-share services to save money, handle peak needs, and avoid relying on a single supplier—affecting competitiveness and future spending patterns.

SANTA CLARA, Calif.--(BUSINESS WIRE)-- Cohesity, the leader in AI data security, today announced a strategic integration with Datadog (NASDAQ: DDOG), the AI-powered observability and security platform for cloud applications, to deliver enterprise-grade AI Agent Resilience—combining continuous observability with rapid, automated data recovery for production AI environments.

As AI agents move from experimentation into mission-critical workflows, they increasingly interact directly with enterprise data stores, APIs, and infrastructure. This shift introduces a new operational challenge: AI systems operate at machine speed, and when errors occur—whether from logic flaws, schema drift, data poisoning, or misclassification—the impact can propagate in seconds.

Observability is foundational, but resilience requires the ability to act decisively on real-time signals.

Through this integration, Datadog provides real-time monitoring across cloud infrastructure, object stores, AI workloads, and application services, enabling enterprises to establish behavioral baselines and detect anomalous activity—such as unexpected data deletions, abnormal mutations, or suspicious agent behavior patterns. Cohesity extends those insights into automated, API-driven recovery actions, allowing organizations to restore affected data assets to verified point-in-time states with speed and precision.

Together, Datadog and Cohesity plan to deliver a closed-loop resilience model for AI-driven systems:

• Continuous telemetry and anomaly detection across infrastructure, AI workloads, and enterprise data
• Automated orchestration from alert to remediation
• Granular recovery across VMs, databases, files, objects, SaaS applications, and AI data stores
• A complete audit trail of detection, response, and restoration

In a representative production scenario, an AI agent operating within its permissions boundary mistakenly deleted critical records from a cloud object store after misinterpreting a new data schema. Datadog detected an unexpected decrease in object count over the past minute and automatically initiated a Cohesity recovery workflow. The affected records were restored from an immutable snapshot within minutes—without overwriting unaffected data and without requiring manual intervention.

This model is becoming essential as enterprises scale AI autonomy.

“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. "Enterprises need real-time visibility into how agents interact with their data and systems. By integrating Datadog’s AI Observability and workflow automation with Cohesity’s immutable recovery capabilities, customers can move from insight to action in minutes—strengthening reliability and trust in AI-driven operations.”

Cohesity extends cyber resilience across the full spectrum of enterprise data—including virtual machines, databases, file and object storage, SaaS applications, vector databases, model configurations, and agent memory. As AI agents increasingly operate across heterogeneous hybrid and multicloud environments, Cohesity ensures that recovery capabilities align with the full scope of agent activity. Immutable snapshots and granular point-in-time restore capabilities enable precise remediation while maintaining governance, compliance, and business continuity.

The joint capabilities support hybrid and multicloud environments, enabling organizations to scale AI innovation while maintaining governance, data integrity, and business continuity.

About Cohesity

Cohesity protects, secures, and provides insights into the world’s data. As the leader in AI-powered data security, Cohesity helps organizations strengthen resilience, accelerate recovery, and reduce IT costs. With Zero Trust security and advanced AI/ML, Cohesity Data Cloud is trusted by customers in more than 140 countries, including 70% of the Fortune Global 500. Cohesity is also backed by industry leaders such as NVIDIA, Amazon, Google, IBM, Cisco, and HPE.

Cohesity is certified as a Great Place to Work in multiple countries. Follow Cohesity on LinkedIn and visit www.cohesity.com to learn more.

View source version on businesswire.com: https://www.businesswire.com/news/home/20260309314942/en/

Cohesity PR

Michael Thacker

media-relations@cohesity.com

Source: Cohesity