Today's data management landscape is a complex tapestry of disparate legacy backup and recovery products, siloed data storage environments, and point solutions for data retention and archiving.
As modern enterprises create and consume more data than ever, there is growing pressure to leverage this data to drive digital transformation and artificial intelligence (AI) initiatives
At the same time, the need for operational resilience and robust data protection has never been more crucial to protect data from increasingly sophisticated cyber threats and ransomware, as well as to comply with regulations such as the European Union's General Data Protection Regulation (GDPR) and Digital Operational Resilience Act (DORA).
This guide from Cohesity explores the need for a modern unified data management platform to address enterprise needs for data protection and recovery, data security, and intelligent data insights.
Highlights include:
- Modern data management challenges and the need for a multi-cloud data protection and recovery solution
- Ransomware data protection and recovery
- AI-driven data analytics use cases and capabilities
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Provided by Cohesity
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Anthropic announces Claude Opus 4.5, the new AI coding frontrunnerNews The new frontier model is a leap forward for the firm across agentic tool use and resilience against attacks
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Google blows away competition with powerful new Gemini 3 modelNews Gemini 3 is the hyperscaler’s most powerful model yet and state of the art on almost every AI benchmark going
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Microsoft's new Agent 365 platform is a one-stop shop for deploying, securing, and keeping tabs on AI agentsNews The new platform looks to shore up visibility and security for enterprises using AI agents
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Some of the most popular open weight AI models show ‘profound susceptibility’ to jailbreak techniquesNews Open weight AI models from Meta, OpenAI, Google, and Mistral all showed serious flaws
