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Cohesity adds recovery capabilities for AI agents and the data they manage

Help Net Securityby Industry News ()6 min read1 · 1 read
AI summary · glm-5.3-flashSummaries by Vani AI

Cohesity launched Agent Resilience to discover, protect, and recover AI agent memory, configuration, and agent-managed data, debuting with Amazon Bedrock integration.

At Cohesity Catalyst, Cohesity introduced Agent Resilience within Cohesity Data Cloud, protecting AI agent memory and configuration with snapshot architecture, immutable backups, and clean-room recovery, plus recovery for databases and file systems that agents manage. It launches with Amazon Bedrock integration, support for Microsoft and Google platforms planned, and general availability targeted for year-end. The company cited Gartner's prediction that up to 40% of enterprise applications will include task-specific agents by 2026, and Cohesity research showing 56% of organizations are unprepared to detect or contain unintended agent actions while 58% lack confidence in verifying AI model integrity after attacks. Cohesity also outlined an Autonomous Cyber Resilience vision using agentic workflows and introduced the AI Resilience Academy.

Key facts
  • Protects agent state (memory, configuration) and agent-managed resources with point-in-time recovery.
  • Agent topology gives a unified view of memory stores, connected applications, and databases.
  • Cohesity survey: 56% unprepared for unintended AI agent actions; 58% unsure of model integrity post-attack.
  • Autonomous Cyber Resilience vision automates RTO/RPO policy recommendations via Cohesity Copilot.
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From the original article

6 min read at helpnetsecurity.com

Cohesity has introduced Cohesity Agent Resilience. This new Cohesity Data Cloud capability will discover, protect, and recover the infrastructure behind enterprise AI agents. A unified view of an agent and the state it depends on.

Help Net Security

By Industry News · helpnetsecurity.com

Read the full article at Help Net Security

A short excerpt; the article and its images belong to the publisher. Summary, key facts and assessment above are AI-written from the article and can be wrong.