Cohesity Bolsters AI Resilience with Data Governance and Federated Access

Event summary

  • Cohesity launched an 'Enterprise AI Resilience' strategy focused on protecting AI infrastructure and data.
  • The strategy includes features for agent risk mitigation, data governance via Cyera's DSPM, and federated data access using the Model Context Protocol (MCP).
  • Cohesity is integrating with platforms like ServiceNow, Datadog, Glean, Databricks, and Microsoft Fabric to enable automated recovery and secure data access.
  • The upcoming Gaia Catalog will allow direct access to protected data from analytics platforms, avoiding data duplication and ETL rebuilds.
  • Cohesity claims to protect data for 70% of the Fortune Global 500.

The big picture

The rapid adoption of AI is creating a significant security and governance gap, as enterprises struggle to manage the risks associated with increasingly complex AI infrastructure and data dependencies. Cohesity's strategy attempts to address this gap by providing a unified platform for data protection, governance, and secure data activation, positioning itself as a critical enabler for responsible AI adoption. This move reflects a broader trend towards embedding security and governance directly into AI workflows, rather than treating them as afterthoughts.

What we're watching

Integration Risk
The success of Cohesity's strategy hinges on the seamless integration with partner platforms like ServiceNow, Datadog, and Glean; any friction could impede adoption and limit the value proposition.
Agent Security
The increasing reliance on AI agents introduces new attack vectors; whether Cohesity's agent-specific protections can effectively counter evolving threats remains to be seen.
Data Governance
The effectiveness of Cohesity’s DSPM, powered by Cyera, in governing sensitive data across diverse environments will be critical for maintaining compliance and mitigating risk as AI adoption expands.