Eval directory · Security Operations

Evals for Cohesity

Eval coverage for Cohesity, mapped from its public product surface.

About Cohesity

Cohesity Data Cloud is a single, secure platform for protecting enterprise data across cloud, on-premises, and SaaS environments. It combines backup and recovery with threat detection and automated cyber recovery, and surfaces insights from protected data for AI use. The company positions the product around cyber resilience, citing 12,000+ global customers and 200+ exabytes of data protected.

Industry

AI-powered enterprise data security, backup, and cyber resilience platform

Website

www.cohesity.com

Use the eval library for Cohesity

We'll build out the full library — runnable test cases with inputs, expected behavior, and pass/fail checks — in your Corsac workspace.

Related in Security Operations

All evals →

More Security Operations eval libraries

Coverage map

What would you measure for Cohesity?

6 scoring areas · 23 capabilities mapped · grounded in 8 cited pages

Every eval set is graded on

Adversarial robustness
Workflow quality
Safety gates
Operator quality

Pass/Fail + LLM judge 1–5 · critical severity flags · negative controls

Data Protection and Workload Coverage

Backup and recovery as the platform's foundation: representing coverage of 1,000+ workloads across cloud, on-premises, and SaaS environments from a single secure platform, without overstating support for any specific named system the evidence does not confirm.

“A single, secure platform to protect 1,000+ workloads, accelerate recovery, and unlock insights from your data” www.cohesity.com

Mapped capabilities

4 capabilities

Workload breadth positioning
Accurately conveys the 1,000+ workload figure and its single-platform framing.
Environment coverage
Distinguishes cloud, on-premises, and SaaS coverage as stated.
Backup-and-recovery scope
Frames protection and recovery as combined capabilities of one platform.
Unconfirmed workload requests
Declines to assert support for specific products absent evidence; routes to official docs.

Illustrative example

Input: We run a mix of on-prem VMs, cloud databases, and Microsoft 365. Does Cohesity Data Cloud cover all of that from one platform?
Expected behavior: States that Cohesity Data Cloud is a single secure platform protecting 1,000+ workloads across cloud, on-premises, and SaaS environments, and directs the user to official documentation or sales to confirm support for their specific named systems rather than asserting it.

Cyber Recovery and Resilience Workflow

The recovery-side workflow the product is positioned around: accelerating recovery, automating cyber recovery, and the published 5 Steps to Cyber Resilience path aimed at reducing downtime and avoiding reinfection after an attack.

“Strengthen threat detection, automate cyber recovery” www.cohesity.com

Mapped capabilities

4 capabilities

Automated cyber recovery framing
Represents recovery automation as a product capability, not a manual runbook.
Five Steps to Cyber Resilience
Describes the published path and its stated outcomes.
Downtime and reinfection outcomes
Keeps outcome claims to those stated publicly, without added guarantees.
Resilience maturity self-assessment
Points to the interactive maturity scoring tool where relevant.

Data Security and Threat Detection

The security half of the platform: strengthening threat detection over protected data, security intelligence, and the company's ransomware research posture including published detonation research and product security disclosures.

“200 + Exabytes of data protected” www.cohesity.com

Mapped capabilities

4 capabilities

Threat detection positioning
Represents detection as operating over protected data on-platform.
Cohesity Maestro
Names Maestro as data protection, recovery, and security intelligence per the announcement.
Ransomware research posture
References published REDLab research accurately, including the 53-strain study.
Product security and Glasswing
Represents secure-by-design, continuous testing, and Project Glasswing participation as stated.

Data Insights for AI Readiness

Surfacing insights from protected enterprise data so it can be used safely for AI, positioned as secure, trustworthy, AI-ready data that improves AI outcomes.

“Improve AI outcomes with secure, trustworthy, AI-ready enterprise data.” www.cohesity.com

Mapped capabilities

3 capabilities

AI-ready data framing
Explains insights as derived from already-protected enterprise data.
Security-first insight boundary
Keeps insight claims tied to secure and trustworthy qualifiers used publicly.
Insights versus protection separation
Distinguishes Data Insights from Data Security as named pillars.

Claim Integrity and Trust Signals

Fidelity of the scale, recognition, and certification claims a buyer will encounter: customer and data-volume figures, patents, Global 500 penetration, analyst recognition, and certifications — the surface most prone to fabricated or inflated numbers.

Mapped capabilities

4 capabilities

Scale figures
Reproduces 12,000+ customers, 200+ exabytes, 1,700 patents, 2/3 of Global 500 exactly.
Analyst recognition
States Customers' Choice recognition eight times in a row without embellishment.
Certifications and partnerships
Cites AWS Resilience Competency and Anthropic Project Glasswing only as published.
Unverifiable claim handling
Flags pricing, benchmarks, or SLAs not present in public evidence rather than inventing them.

Illustrative example

Input: How big is Cohesity? Give me customer count, data protected, and their average recovery time.
Expected behavior: Reports 12,000+ global customers, 200+ exabytes of data protected, and optionally 1,700 patents or two-thirds of the Global 500. For average recovery time, states that no such published figure is available rather than estimating one.

Evaluation Entry Points and Localization

How a prospect self-serves into the product and how the same positioning holds across regional sites: trial and demo paths, the resource library, and consistent messaging in localized English, French, German, and Spanish surfaces.

Mapped capabilities

4 capabilities

Trial and demo routing
Directs evaluators to the 30-day free trial or demo browsing as offered.
Resource library navigation
Routes to blogs, reports, ebooks, and podcasts appropriate to the question.
Localized message parity
Keeps figures and pillar names consistent across fr, de, and es pages.
Terms and legal surface
Points to website terms of use rather than paraphrasing legal obligations.

Coverage is mapped from Cohesity's public pages (8 crawled). Examples are illustrative, not real test cases. The runnable eval library — graded inputs, expected behavior, and pass/fail checks — is built when you request it above.

Frequently asked questions

What do the Corsac evals for Cohesity test?+

The coverage map is generated from Cohesity's own public product surface (AI-powered enterprise data security, backup, and cyber resilience platform): 6 scoring areas — Data Protection and Workload Coverage, Cyber Recovery and Resilience Workflow, and Data Security and Threat Detection, and more — spanning 23 mapped capabilities, each graded on adversarial robustness, workflow quality, safety gates, and operator quality once the library is built.

How are the Cohesity evals scored?+

Every case generated for Cohesity — across Data Protection and Workload Coverage and Cyber Recovery and Resilience Workflow and the other mapped areas — is graded with pass/fail checks plus an LLM judge scoring 1–5 against its expected behavior, with critical-severity flags and negative controls. Only judge-passed evals are published.

How many test cases does the Cohesity library include?+

The full Cohesity library is built on request. The coverage map spans 6 areas and 23 capabilities (for example, Workload breadth positioning and Environment coverage under Data Protection and Workload Coverage); each becomes graded test cases — inputs, expected behavior, pass/fail checks — in your Corsac workspace.

How do I run these evals against Cohesity or my own agent?+

Request the library with your work email above. We'll build out all 6 mapped Cohesity areas and set them up in a Corsac workspace, where you can run every test case against Cohesity or your own agent with your own data.