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  • Three traits of a mature Agile team

    What it takes to have successful mobile project development might surprise you. Expert Jennifer Lent shares the secrets around creating a mature Agile team.  Continue Reading

    Jennifer Lent
    By
    • Jennifer Lent
  • Four principles for staying true to real Agile

    Over time, software teams develop their own variants of Agile. Here's how to make sure your practice remains aligned with the spirit of Agile.  Continue Reading

    Jennifer Lent
    By
    • Jennifer Lent
Latest TechTarget resources
  • AI & Emerging Tech
  • Cybersecurity
  • Data Technologies
  • Enterprise Software
  • IT Strategy
AI & Emerging Tech
  • Beyond discovery: The real shadow AI challenge

    IT teams can now identify shadow AI tools, but remediation doesn't scale. Managing hundreds of niche AI tools requires faster ...

  • Zuckerberg's manifesto: Do Meta's promises and actions align?

    Mark Zuckerberg's manifesto on the future of AI sounds promising, with democratized AI and superintelligent personal agents for ...

  • Power-hungry AI data centers weigh viable energy sources

    AI data centers are encountering political resistance in some communities, but they'll be built elsewhere. Survival depends on ...

Cybersecurity
  • Black Hat 2026: Key news, takeaways and security trends

    This is your guide to the breaking news, trending topics and more at Black Hat USA 2026, from Dark Reading, Cybersecurity Dive ...

  • The rise of token-theft attacks: No password or MFA needed

    Threat actors continue to find new ways to use stolen tokens to compromise protected systems. AI only makes it easier for them.

  • Autonomous AI exploits raise stakes for vulnerability management

    AI agents are increasingly finding and exploiting software vulnerabilities. The bigger challenge for security teams is figuring ...

Data Technologies
  • Why anonymization alone no longer protects sensitive data

    Anonymized data is still valuable, but organizations that rely on it alone can expose their business and customers to privacy, ...

  • AI doesn't have a trust problem. Your data does.

    The AI auditability gap isn't an AI problem. It's decades of data management debt, finally coming due, exposed by autonomous ...

  • AWS emphasizing database security as AI powers new threats

    While the tech giant has always focused intently on protecting proprietary data, its database security capabilities are taking on...

Enterprise Software
  • New governance challenges arise as AI enters UC workflows

    AI agents are now acting in UC and CX workflows. Governance policies must provide visibility, define accountability and support ...

  • Outcome-based AI pricing hits a measurement problem

    As vendors move beyond seat-based models, enterprises must determine how to measure AI value, handle attribution issues and avoid...

  • Software value needs outcome measures

    Usage data can start a software value review, but enterprises need outcome measures tied to workflow evidence and business ...

IT Strategy
  • 6 questions every CIO should ask before workforce reductions

    CIOs should test the economics, evidence, governance and reversibility of AI-driven workforce reduction proposals before ...

  • AI alignment, not replacement: How CIOs are rebuilding IT value

    Forward-thinking enterprises are pursuing AI realignment over replacement -- reshaping teams, redistributing authority and ...

  • CIOs say data engineers, AI architects hardest roles to fill

    CIOs face a growing talent gap as AI changes IT roles. Seven IT leaders explain which skills are hardest to find and what hiring ...

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