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As artificial intelligence moves from experimentation to real-world enterprise applications, AI agents are becoming a key driver of business transformation.
At WAIC 2026, industry discussions focused on how AI can move beyond productivity tools and support mission-critical operations. For data protection and disaster recovery, AI is opening new possibilities by enabling smarter monitoring, faster analysis, and more proactive recovery.
Info2soft is exploring how AI agent technology can be integrated throughout the entire data protection lifecycle, from monitoring and diagnostics to recovery orchestration, enabling disaster recovery to evolve from reactive operations to proactive intelligence.
For years, disaster recovery systems have depended on administrators to configure policies, monitor jobs, diagnose failures, and execute recovery procedures.
As enterprise environments continue to expand, organizations must manage increasingly complex infrastructures, including:
At the same time:
When major incidents occur, IT teams typically follow a lengthy process:
This workflow depends heavily on operational expertise while being constrained by human response times and accumulated experience.
AI agents offer a fundamentally different approach.
Rather than executing predefined scripts, they can understand business context through large language models, combine enterprise knowledge with specialized tools, and orchestrate complex workflows to create a closed-loop process from issue detection to decision support.
Info2soft’s AI agent framework is designed to make AI an expert assistant for enterprise data resilience. It can analyze issues, diagnose failures, evaluate recovery options, and coordinate recovery workflows.
General-purpose AI excels at language understanding and content generation. Enterprise data protection, however, requires AI that understands business systems, data workflows, operational dependencies, and acceptable risk.
Info2soft’s AI agent architecture is purpose-built for data protection and disaster recovery. Using a multi-agent framework, individual product capabilities are encapsulated into specialized AI agents that collaborate across different operational scenarios.
Examples include:
Designed for data replication and synchronization, the i2Stream Agent can:
Current capabilities include rule management, node administration, log monitoring, fault diagnosis, and data validation.
Focused on enterprise backup operations, future capabilities include:
Built for continuous data protection, the i2CDP Agent can:
Designed for high availability environments, the i2Availability Agent assists with:
Together, these specialized agents are intended to form an intelligent data resilience ecosystem spanning replication, backup, continuous data protection, high availability, and migration.
The value of AI agents becomes especially apparent during disaster recovery operations.
Consider a ransomware attack.
Traditional recovery workflow
AI-driven recovery workflow
In Info2soft’s intelligent recovery demonstration, the platform simulates the complete recovery lifecycle following a ransomware attack.
The system first identifies abnormal activity, then leverages continuous data protection to analyze recoverable data versions. It automatically generates a recovery workflow through recovery orchestration capabilities. After administrator approval, recovery is executed automatically and a comprehensive recovery report is produced.
This demonstrates how recovery can evolve from hours of manual work to AI-assisted recovery completed in minutes.
Rather than serving solely as a recovery tool after failures occur, future disaster recovery platforms can become intelligent defense systems that continuously strengthen enterprise resilience.
Introducing AI into disaster recovery is about more than operational efficiency.
Because disaster recovery platforms protect an organization’s most valuable data assets, AI agents may participate in high-impact operations such as production recovery, failover, and data management. As a result, security is a foundational design principle within Info2soft’s AI agent architecture.
The framework follows three core principles.
AI provides analysis, recommendations, and recovery plans, while high-risk operations—including production recovery and failover—continue to require administrator approval.
Every AI analysis, tool invocation, and execution result is fully recorded, enabling comprehensive auditing, traceability, and accountability.
Using role-based and attribute-based access control (RBAC/ABAC), each AI agent and its associated skills operate only within explicitly authorized permissions.
To further ensure secure operations, Info2soft has implemented a six-layer security architecture that includes:
This controlled architecture distinguishes enterprise AI from consumer AI assistants. Organizations need AI that is trustworthy, governed, and capable of executing business operations safely.
Info2soft’s AI strategy extends beyond individual products through an open, plugin-based AI agent architecture.
Each product agent can register with a unified orchestration framework using standardized interfaces, allowing new capabilities to be added without modifying the core platform.
The roadmap includes three phases:
Ultimately, enterprises will move beyond isolated data protection tools toward an intelligent infrastructure capable of continuously detecting risk, optimizing protection strategies, and assisting business recovery.
One of the strongest messages from WAIC 2026 is that enterprise AI is moving beyond foundation models toward practical business applications. AI agents are becoming the bridge between large language models and mission-critical enterprise operations.
For organizations, AI’s greatest value lies not only in generating content or improving productivity, but also in strengthening the resilience of essential business systems.
As data becomes one of the most valuable enterprise assets, data resilience is evolving into a core capability for modern digital infrastructure. Info2soft’s AI agent initiative reflects this vision by exploring how AI can become an intelligent guardian of enterprise data resilience.
Info2soft is also collaborating with academic institutions on AI model protection and AI training data protection, advancing the practical application of intelligent disaster recovery technologies.
Looking ahead, data protection will evolve beyond post-disaster recovery into a continuously improving capability that combines proactive monitoring, intelligent decision-making, and adaptive resilience. This vision closely aligns with the direction highlighted at WAIC 2026—bringing AI into the heart of enterprise operations to create lasting business value.
