AI is becoming part of your business. Is it part of your recovery plan?
Imagine a ransomware attack hits a global enterprise using Microsoft 365 Copilot, Claude, and dozens of internal AI agents. The company can recover its files, applications, and infrastructure. But after recovery, employees discover something else is missing: Copilot conversations, Claude project history, prompt records, generated knowledge, custom instructions, agent settings, and AI workflow configurations.
The systems are back, but the intelligence built inside them is not.
That is the new recovery challenge. AI has become part of the organization’s operational memory. When AI records and configurations are lost, the business loses context, productivity, and trust, not just data.
This is why AI resilience is becoming the next evolution of cyber resilience.
What is AI resilience?
AI resilience is the ability to keep enterprise AI data, records, configurations, and operations protected, recoverable, and trustworthy before, during, and after a cyberattack.
It is not simply backup for AI. It is resilience for the entire AI ecosystem — from the data that feeds AI to the conversations, agents, configurations, and workflows that make AI useful.
Why Microsoft 365 Copilot records and configurations need protection
Microsoft 365 Copilot is quickly becoming part of daily work. Employees use it to summarize meetings, draft documents, analyze business information, prepare customer responses, and automate repetitive tasks.
That activity creates valuable business records, including:
- Copilot conversations and prompt history
- AI-generated summaries and content
- Saved agents and custom instructions
- Agent settings and configurations
- Business context connected to Microsoft 365 data
- Workflow and integration settings
Restoring Exchange, SharePoint, Teams, or OneDrive does not automatically restore every AI record or configuration created inside the Copilot experience.
Without dedicated protection, organizations may recover their Microsoft 365 data but still lose the AI context employees depend on.
Why Claude records and configurations need protection
Claude is increasingly used for engineering discussions, research, document analysis, product planning, customer communication, and operational decision-making.
Over time, Claude conversations and projects become a new knowledge layer for the business. They may contain:
- Project and conversation history
- Prompt records
- AI-generated analysis and documents
- Shared organizational knowledge
- Custom instructions and project context
- Agent and MCP configurations
These records can be difficult or impossible to recreate after accidental deletion, insider activity, configuration errors, or a cyberattack.
Protecting Claude is about protecting the context and intelligence that employees have built inside the platform.
The five pillars of AI resilience
1. Protect the data feeding AI
AI depends on enterprise information across Microsoft 365, Google Workspace, Salesforce, AWS, Azure, endpoints, and more. That data must remain protected, clean, and recoverable.
2. Protect AI operational memory
AI conversations, prompts, generated content, agents, settings, and configurations are becoming business records. They require independent protection and point-in-time recovery.
3. Use AI to accelerate cyber recovery
AI should help administrators quickly answer practical recovery questions:
- Which workloads were affected?
- Which recovery point is clean?
- What should be restored first?
- What risks or anomalies should be reviewed?
The goal is faster decisions and safer recovery.
4. Govern AI actions through MCP
As AI agents begin taking actions, they need secure, governed access. MCP-based integrations can help AI assistants perform approved actions for investigation, reporting, backup, and recovery while maintaining control and auditability.
Curated enterprise skills are especially important. They give AI the right context and the right actions instead of unrestricted access, improving accuracy and reducing unnecessary complexity.
5. Recover with confidence
Recovery is not complete until users trust their AI again. That requires clean data, recoverable conversations, preserved configurations, governed actions, and clear recovery context.
How Dru SRE Agent helps
The Dru SRE Agent brings natural-language intelligence to data protection and cyber recovery operations.
Instead of searching through multiple dashboards, an administrator can ask questions such as:
- Show me the cleanest recovery point.
- Which workloads may have been impacted by this incident?
- Explain why this backup job failed.
- Recommend the next recovery action.
- Generate an executive recovery summary.
The SRE Agent is designed to simplify complex operations, help teams investigate faster, and make recovery decisions with greater confidence. It is not AI added as a separate interface. It is AI connected to operational data, platform intelligence, and recovery workflows.
Why Druva’s MetaGraph context matters
AI is only useful when it has the right context.
MetaGraph provides a connected view of workloads, identities, backup events, policies, anomalies, configurations, metadata, and recovery history across the platform.
This context helps AI understand relationships such as:
- Which users, applications, and data sources are connected
- What changed before an incident
- Which workloads share similar risk signals
- Which recovery points are most relevant
- What actions have already been taken
- Which policies or configurations may affect recovery
Instead of answering from a single log or isolated data source, the SRE Agent can use broader platform context to provide more relevant insights and recommendations.
This is a major advantage in cyber recovery. The value of AI goes beyond the model, including the quality, history, and relationships within the data the model can use.
Why Druva is different
Many vendors are adding AI assistants, chat interfaces, or search experiences. Those capabilities can improve usability, but they do not automatically create AI resilience.
Druva brings together the capabilities required for a broader AI resilience strategy:
- Protection for enterprise data powering AI
- Backup for Microsoft 365 Copilot records and configurations
- Backup for Claude Enterprise records and configurations
- Recovery of AI conversations and operational context
- AI-assisted operations through the Druva SRE Agent
- Rich platform context through the Druva metagraph
- Secure automation through MCP Server and curated skills
- Fully managed SaaS architecture
- Built-in cyber resilience, immutability, and recovery intelligence
The key difference is simple: Druva is using AI to improve backup operations, help protect the records and configurations created by enterprise AI, and also uses trusted platform context to accelerate cyber recovery.
AI resilience comparison
Capability | Druva | Rubrik | Cohesity | Commvault | Veeam |
Protect enterprise data powering AI | ✅ Broad multi-workload protection | ✅ | ✅ | ✅ | ✅ |
Backup Microsoft 365 Copilot records & configuration | ✅ | Limited / Emerging | Limited / Emerging | Limited / Emerging | Limited / Emerging |
Backup Claude Enterprise records & configuration | ✅ | Not publicly available | Not publicly available | Not publicly available | Not publicly available |
Recover AI conversations & prompt history | ✅ | Limited | Limited | Limited | Limited |
Protect AI agent configuration | ✅ | Limited | Limited | Limited | Limited |
AI-assisted backup & recovery operations | ✅ SRE Agent | AI Assistant | AI Assistant | AI Assistant | AI Assistant |
Context-aware AI recommendations | ✅ Druva Metagraph | Partial | Partial | Partial | Limited |
Secure MCP-based AI integration | ✅ Fully Managed | Requires Infra | Requires Infra | Requires Infra | Requires Infra |
Fully managed SaaS platform | ✅ | Hybrid | Hybrid | Software-first | Software-first |
AI Resilience vision | ✅ Comprehensive | Emerging | Emerging | Emerging | Emerging |
Comparison reflects publicly announced capabilities and generally available product information at the time of writing. Organizations should verify current support directly with each vendor.
Why this matters
Recovering SharePoint, Exchange, or cloud workloads alone isn't enough. Organizations also need to recover AI conversations, prompt history, agent configurations, and operational context that employees depend on every day. Druva is building AI resilience around both enterprise data and enterprise AI.
Why Druva stands out
Most vendors are adding AI assistants to their backup platforms. Druva is taking a broader approach by protecting the data that powers AI, safeguarding AI-generated conversations and configurations, using AI to simplify cyber recovery through the SRE Agent, and providing richer context with the Druva Metagraph. Combined with secure MCP integrations and a fully managed SaaS platform, Druva helps customer recover the systems as well as the intelligence their business depends on.
The future is AI resilience
Today’s ransomware recovery is about restoring systems and data. Tomorrow’s recovery will also be about restoring enterprise intelligence.
As organizations adopt Microsoft 365 Copilot, Claude Enterprise, AI agents, and MCP-based automation, they need a recovery strategy that protects the original data sources plus the conversations, generated knowledge, agents, settings, and configurations that make AI valuable.
The future of resilience can be summarized in three steps:
Restore data.
Recover files, applications, and infrastructure.
Restore intelligence.
Recover AI conversations, knowledge, agents, and configurations.
Restore trust.
Help employees use AI again with confidence in the underlying data and context.
Ransomware recovery needs to go beyond restoring systems to restoring the intelligence the business runs on.
See how Druva stacks up vs. the competition
Compare Druva vs. our competitors across a range of categories, beyond just AI. Check out the comparison pages below for more: