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Choosing the right AWS disaster recovery strategy in 2026
Organizations unprepared for outages often have a disaster recovery plan that does not match their business needs. These metrics ...
Compare AI risk management frameworks from NIST and beyond
While NIST is the most widely used, it's just one of the frameworks available today that can help manage the risks associated ...
AI tools are making resilience an enterprise-wide discipline
AI tools that support resilience at the business unit level can enable more personnel across an organization to engage in ...

Why backup alone doesn't guarantee cloud recovery readiness
Successful backup jobs can still leave dependency and configuration gaps, making orchestration and recovery testing critical for ...
The data backup confidence gap: Are you really recovery ready?
False confidence in data backups is a growing issue. IT leadership must ensure that recovery goals match backup realities to ...
Verify backup data integrity to reduce recovery risks
Validation is an essential part of data backups. Test and confirm that your backup data is intact and usable now, rather than ...

A primer on hyperscale data centers
Hyperscale data centers can hold thousands of servers and process much more data than an enterprise facility. However, they can ...
AI operating models: Balancing autonomy and human oversight
AI operating models in data centers define decision-making and risk management. Balancing machine autonomy and human control is ...
Monetizing modern data centers: Strategies for IT leaders
Modern data centers are strategic assets that drive innovation, enabling AI, analytics and internal data products for business ...

Cisco agentic AI security push faces enterprise trust gap
Cisco officials urged customers to "meet the Mythos moment" with new agentic defenses, but businesses' mistrust of AI cuts both ...
Cisco: AI driving a 'network supercycle'
Data and latency demands for AI paired with AI agents and strict security requirements are fueling a 'network supercycle,' says ...
Self-healing IT systems: Benefits, challenges and use cases
Self-healing IT systems combine AI, automation and observability to reduce downtime, strengthen security and support scalable, ...

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