Cyber resilience for the agentic era: the claims your platform hasn't proven

When "AI-Ready" Meets Enterprise Reality

Every data platform on the market now claims AI readiness. But as autonomous agents and machine-speed attacks reshape the threat landscape, the definition of resilience has fundamentally changed, faster than most backup platforms have ever been engineered or tested against.

In a controlled environment or vendor demo, recovery looks instantaneous and foolproof. In the real world, production environments face fragmented infrastructure, spiraling data volumes, and sophisticated threats designed to quietly compromise backup pipelines before an alert ever triggers.

The gap between marketing claims and true cyber resilience isn’t theoretical - it’s operational. For enterprises operating at scale, the question is no longer whether your platform says it can restore data, but whether its architecture can survive when pushed to the limit.

Through candid, peer-level dialogue, this session brings cross-industry technology and security leaders together to confront an urgent question:

What would you test, not take on faith, before trusting a recovery claim?

What We'll Explore

1. Signal vs. Noise: Dissecting Agentic-Era Risk

Nearly every vendor has rebranded existing features with AI terminology. We'll strip away the buzzwords to identify what is genuinely new about threats operating with autonomous agency, where traditional detection falls short, and what is simply repackaged marketing.

2. What to Test, Not Take on Faith

Trusting an unverified claim during a live incident is an unacceptable risk. Explore the concrete benchmarks, validation protocols, and clean-room recovery procedures organizations must demand to see proven before staking their business continuity on a vendor promise.

3. Scale Changes Everything: Demos vs. Reality

A recovery architecture that succeeds across a handful of test virtual machines often buckles under petabyte-scale data, distributed hybrid environments, and real-time operational dependencies. We’ll discuss where architectures actually break under pressure and how recovery throughput behaves when complexity peaks.

4. The Strategy Shift: Planning for Platform Reality

If you assumed your current data protection platform would not perform as advertised under a full-scale cyber attack, how would your incident response and resilience strategy change today? Discuss the architectural pivots leading teams are making to guarantee survivability.

The Recovery Verification Gap

The next era of cyber resilience will not be won by the most convincing sales presentation or the longest checklist of AI feature tags. It will be decided in the first twelve hours of an attack by whether your systems can reliably isolate, reconstruct, and restore critical operations without reinfection.

Achieving this requires looking beyond retention and basic immutability to demand verifiable, automated recovery performance at real enterprise scale.

Join Cohesity and fellow technology leaders to examine what it takes to separate unsubstantiated claims from hardened recovery truth.