Long-term backup survival depends on preserving the software, hardware, credentials and documentation needed to recover data years after it was stored.
Based on a global survey of 600 C-suite leaders, The Data & AI Trust Gap report is a new thought leadership asset that pulls back the curtain on the gap between AI ambition and AI results and what it ...
This ebook lays out six practices for closing that gap in the AI era: threat detection and recovery, AI governance and compliance readiness, workload portability and modernization, enterprise ...
Cybercriminals are exploiting interest in agentic AI to convince users to install malware, with one campaign uncovered by HP using a legitimate Microsoft-signed Windows binary to help deliver an ...
Windows can automatically install hardware makers’ companion apps, but users and IT teams can disable the feature to keep unwanted software off their PCs.
Parameterized SQL queries can make PowerShell tools more secure and reliable while preserving smart quotes, emojis and other complex input.
Microsoft is warning organizations about an active social engineering campaign in which attackers impersonate IT help desks and use fake passkey setup requests to compromise employee identities and ...
Public preview lets security teams connect multiple accounts from the same external service through a single Sentinel data connector, simplifying telemetry collection across complex environments.
Microsoft has released an emergency Windows update to address audio problems caused by its September Patch Tuesday release, but the fix only covers some of the reported failures.
Microsoft is expanding Copilot in PowerPoint with new branding and presentation-building capabilities. The aim is to help organizations create more consistent, polished presentations with AI.
More than 100 of this month's vulnerabilities are rated critical. AI-assisted vulnerability discovery has played a role in that growth as Microsoft uses automated tools to find flaws that may have ...
Microsoft has published a draft code of conduct that spells out how its homegrown AI models should behave, with human control taking priority over model capability, autonomy and even task completion.
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