When one identity becomes the blast radius

Imagine a scenario that many enterprises now have to plan for: an attacker compromises a privileged user account or identity administrator. Maybe the entry point is phishing. Maybe it is an infostealer, token theft, or a reused credential exposed through a third-party service. However it begins, the attacker does not stop with the first login.

From that identity foothold, the attacker starts moving laterally. They enumerate Active Directory or Microsoft Entra ID. They look for privileged groups, service accounts, backup administrators, cloud roles, and dormant access paths. They pivot into the datacenter through virtualization management, databases, NAS shares, and business-critical servers. Then they move into cloud-native workloads, targeting AWS or Azure resources, snapshots, storage accounts, and recovery workflows.

By the time ransomware or destructive activity becomes visible, the question is no longer, “Do we have backups?” The real question is, “Can we recover the right data, from the right point in time, without reintroducing malware, rebuilding a complex recovery architecture, or waiting for multiple vendors to coordinate during a crisis?”

That is why cyber recovery has changed. Identity, backup, cyber detection, and clean recovery can no longer be treated as separate projects. When identity is compromised, the recovery plane becomes part of the battlefield.

Backup availability is not the same as cyber recovery readiness

Traditional backup strategies were built around restore availability: can we bring back a file, a VM, a database, or an application after deletion, corruption, or outage?

Modern cyber recovery asks harder questions:

• Which identities were compromised?
• Which workloads were touched?
• Which backup snapshots are clean?
• Which restore points contain dormant malware or attacker tooling?
• Can the recovery process be validated before data re-enters production?
• Who is monitoring backup telemetry after hours?
• Who can lock down the recovery environment if administrators themselves are compromised?

In an identity-led attack, restoring fast is not enough. A fast restore from an infected snapshot can restart the attack. A recovery process that depends on too many consoles, connectors, security tools, partners, and manual runbooks can slow the business when every minute matters.

The goal should be clean recovery: identify the blast radius, isolate suspicious data, validate clean restore points, and recover the latest safe copy of business-critical data.

Cohesity: The risk with an assembled cyber recovery model

Cohesity is a credible enterprise data protection platform, especially for organizations with large traditional data center footprints and a preference for integrated secondary-data infrastructure. But customers evaluating cyber resilience should look beyond backup feature checklists and ask a more practical question: how much must the customer assemble, operate, license, validate, and coordinate to achieve clean cyber recovery?

That is where the total cost of ownership can expand.

In many environments, the cyber recovery architecture is more than backup software. It can include clusters or appliances, SaaS connectors or data movers, vaulting services, threat scanning modules, clean room workflows, identity recovery integrations, SIEM/SOAR integrations, incident response services, and specialized partner technologies. Each component may be valuable on its own, but each also adds cost, design work, operational ownership, upgrade responsibility, and recovery-time coordination.

For identity resilience, Cohesity positions capabilities for Active Directory and Entra ID through Cohesity Identity Resilience powered by Semperis. For threat protection, Cohesity’s DataHawk combines cyber vaulting, threat intelligence and scanning, ML-powered data classification, and FortKnox vaulting. These are strong security motions, but they also reflect a broader ecosystem approach.

The customer question should be direct: during a live cyber incident, do you want a recovery workflow that depends on multiple modules, partner-led components, and customer-owned infrastructure? Or do you want cyber detection, containment, and recovery delivered as a simpler managed operating model?

Complexity becomes expensive when recovery is under pressure

The hidden cost of cyber recovery is not only license price. It is the operational drag of keeping the entire recovery architecture ready before an attack and executing it correctly during an attack.

Customers should compare vendors on the full three-year cost of resilience, including:

• Backup infrastructure, nodes, appliances, or virtual connector footprint
• Cloud compute, network, vaulting, and storage requirements
• Advanced cyber modules and security add-ons
• Identity recovery services or partner dependencies
• Professional services required to build and test runbooks
• Administrator time for patching, upgrades, scaling, and troubleshooting
• SOC integration, alert routing, and incident response workflows
• Recovery testing frequency and evidence generation

This is where an assembled approach can become expensive. The more components the customer must own, the more assumptions must hold true during the worst possible moment.

The Druva difference: Fully managed cyber resilience

Druva starts from a different architectural principle: cyber resilience should be delivered as a fully managed SaaS experience, not another infrastructure stack the customer has to build, patch, scale, and recover. 

Druva helps protect hybrid workloads, cloud-native workloads, SaaS applications, endpoints, and identity systems from a single cloud-delivered platform. Backup data is separated from the production blast radius, reducing dependence on the same infrastructure, credentials, and operational pathways that may be under attack.

That SaaS-first model matters because cyber recovery is a race against both the attacker and complexity. When the platform removes backup infrastructure management from the customer’s side, IT and security teams can focus on the recovery outcome: finding the cleanest, most recent, most business-relevant copy of data and restoring it safely.

Check out our white paper, featuring findings from roughly 1,000 verified G2 reviews, exploring why buyers leave legacy behind in favor of SaaS.

Recover the latest clean copy, not just the oldest safe copy

One of the hardest decisions during ransomware recovery is choosing between safety and recency.

The newest backup may contain signs of compromise. The oldest known clean backup may be safe but too stale, causing avoidable data loss. The business needs a better answer than “restore something old and hope it works.”

Druva’s clean recovery approach is designed to reduce that tradeoff. With capabilities such as Threat Watch, Threat Hunting, Restore Scan, Curated Recovery, Recovery Intelligence, and quarantine workflows, Druva helps teams investigate backup data, identify suspicious restore points, isolate infected snapshots, and recover a trusted version of business-critical data.

Curated Recovery is especially important because it focuses on reconstructing a clean recovery set rather than forcing customers to pick a single older snapshot. The outcome is a more practical recovery objective: restore the latest clean copy possible, not just the easiest copy to access.

MDDR and Safe Mode: detection and containment when it matters most

Cyber detection without response ownership creates dangerous dead time. Many organizations do not have a backup-focused security team watching recovery telemetry 24x7. Even if the SOC detects suspicious activity, backup and recovery teams may still need to coordinate manually across separate systems.

Druva Managed Data Detection and Response (MDDR) addresses this gap by extending managed monitoring, detection, and response to backup environments. It is designed to help customers identify suspicious activity, validate alerts, escalate incidents, and accelerate containment and recovery decisions.

Safe Mode adds an emergency brake. When activated, Safe Mode can restrict administrative access and limit risky data operations such as restores, downloads, and backups while the incident is being investigated. This matters when attackers have stolen credentials or when privileged access cannot be trusted.

Together, MDDR and Safe Mode help shift customers from passive backup monitoring to active backup defense: detect suspicious behavior, contain the recovery environment, prevent destructive actions, and move toward clean recovery with greater confidence.

Why identity recovery belongs in the same conversation

Identity is not just another workload. It is the control plane for everything else.

If Active Directory, Entra ID, Okta, or privileged access has been compromised, recovering applications without restoring trust in identity may leave the business exposed to follow-on attacks. The right recovery sequence often starts with understanding and restoring identity trust, then bringing critical applications back online in a controlled and validated way.

That is why Druva positions identity resilience as part of the broader cyber recovery story. The goal is not simply to restore data objects. The goal is to help the organization restore a trusted operating state across identity, applications, infrastructure, and data.

The customer takeaway

Cohesity can be a strong fit for organizations that want a broad platform with traditional datacenter depth, integrated secondary storage, and multiple deployment models. But for many customers, the strategic question is changing.

They are not only asking, “Which platform has the most backup features?”

They are asking:

• Which platform reduces operational complexity before the attack?
• Which platform helps detect risk inside backup data?
• Which platform can lock down risky actions during a live incident?
• Which platform helps us find the latest clean copy?
• Which platform reduces the number of tools, partners, modules, and handoffs needed to recover?

That is where Druva stands apart.

Druva delivers cyber resilience through a fully managed SaaS model that brings together backup, cyber detection, clean recovery, identity resilience, MDDR, and Safe Mode into a simpler operational experience. Instead of asking customers to assemble cyber recovery from infrastructure, modules, and partner-led workflows, Druva helps teams recover clean, recent, business-critical data with speed, confidence, and less operational burden.

Key takeaways

When an attacker compromises identity and moves laterally across datacenter and cloud-native workloads, recovery becomes more than a restore job. It becomes a test of architecture.

The winning recovery model is not the one with the longest checklist. It is the one that helps customers act quickly, reduce uncertainty, contain risk, and restore the latest clean data with confidence.

That is the Druva difference: fully managed cyber resilience, clean recovery at scale, and a simpler path from identity-led compromise to business recovery.

Next steps

• Visit the comparison hub to learn more about how Druva beats Commvault and other competitors
• Take a deep dive into Druva vs. Cohesity by the features
• Read the Druva Identity Resilience white paper
• Find data security blind spots and assess your recovery readiness in just 5 quick questions