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  • The incident response mistake 73% of leaders make

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    Despite rapid progress in agentic AI, enterprises still face major concerns around control, cost and reliability.

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    AI veteran Peter Day discusses why enterprise AI transformation struggles: It's an organizational change problem, not a ...

Search Security
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    Security operations centers and managed detection and response providers differ in how they manage threats. What's the best way ...

  • Instructure cyberattack reignites ransom payment debate

    Instructure struck a deal to recover its stolen data -- likely paying a hefty ransom. For CISOs, deciding whether to negotiate ...

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    Outdated SIEM rules can hamstring enterprises as they try to safeguard their operations. Use a proactive, strategic approach ...

Search Networking
  • Cisco Live 2026 conference coverage and analysis

    Informa TechTarget's updating guide to Cisco Live 2026 covers the latest trends, emerging technologies and product announcements ...

  • 10 AI-driven network management tasks

    AI can automate key network operations tasks, such as anomaly detection, event correlation and ticketing. This shifts network ...

  • Network built for champions keeps the Derby on track

    The Kentucky Derby is known for speed, and needs a network to keep the tech running as smoothly as the horses. Look behind the ...

Search Data Center
  • Soma Energy launches to optimize AI data center energy use

    Soma Energy, led by CEO Ath Caramanolis, launches an AI-driven platform to optimize energy use for data centers, addressing ...

  • Quantum moves from promise to practice at IBM Think 2026

    Quantum computing is becoming a reality at major companies, from Boeing to Allstate. Quantum -- especially when paired with AI --...

  • Balancing automation with human oversight in AI data centers

    AI enhances data center operations through automation but requires human governance to manage risks, ensure ethical use and ...

Search Data Management
  • Tracing data lineage in AI systems

    Data lineage records how data moves through AI pipelines, turning model debugging, impact analysis and audits into queries rather...

  • Data sovereignty expands beyond compliance boundaries

    Geopolitical conflict and outages can upend assumptions about where data is controlled and accessed, pushing leaders to plan for ...

  • Understanding data contracts for AI projects

    AI models fail silently when upstream data shifts. Data contracts prevent this by making schema, semantics and quality a binding ...

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