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Category: Development

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96 percent of enterprises use agentic AI but concerns persist
  • agentic AI
  • Article
  • Artificial Intelligence (AI)
  • Development
  • Digital Transformation
  • Enterprise
  • Technology

96 percent of enterprises use agentic AI but concerns persist

  • 0

A new survey finds 96 percent of organizations are already using AI agents in some capacity, and 97 percent are […]

Microsoft explains why we had to wait to long for PowerShell 7.6 LTS
  • Article
  • Development
  • Microsoft
  • PowerShell
  • PowerShell 7.6 LTS
  • Technology

Microsoft explains why we had to wait to long for PowerShell 7.6 LTS

  • 0

Fans of PowerShell were frustrated and confused by the delayed release of the most recent Long Term Support edition. PowerShell […]

New context engine helps developers safely integrate agentic systems
  • agentic AI
  • Article
  • Artificial Intelligence (AI)
  • Development
  • Technology

New context engine helps developers safely integrate agentic systems

  • 0

Agentic systems are changing how software behaves. Instead of following predefined code paths, agents interpret context, select tools, and generate […]

LLM hesitancy leaves open source risks in place
  • Article
  • Artificial Intelligence (AI)
  • Development
  • LLM
  • Open Source
  • Technology
  • vulnerabilities

LLM hesitancy leaves open source risks in place

  • 0

LLMs are getting less wrong when analyzing open source code, but they’re becoming more hesitant. That hesitation quietly preserves risks, […]

Pentesting is prioritized but only 32 percent of attack surfaces are tested
  • Article
  • Artificial Intelligence (AI)
  • cybersecurity
  • Development
  • pentesting
  • Software
  • Technology

Pentesting is prioritized but only 32 percent of attack surfaces are tested

  • 0

While 95 percent of organizations say they rank pentesting as a top priority, they are currently testing only 32 percent […]

Has Agile lost its way? How AI-powered DevSecOps can help [Q&A]
  • agile
  • Article
  • Artificial Intelligence (AI)
  • Development
  • DevSecOps
  • Q&A
  • Technology

Has Agile lost its way? How AI-powered DevSecOps can help [Q&A]

  • 0

Agile. What started 25 years ago as a movement for responsiveness and customer value now often gets bogged down by […]

How evidence-based policy controls are changing software releases [Q&A]
  • Article
  • Artificial Intelligence (AI)
  • Development
  • policy control
  • Q&A
  • software release
  • Technology

How evidence-based policy controls are changing software releases [Q&A]

  • 0

Traditional software trust models have relied heavily on faith in checklists, signatures, and a patchwork of compliance artifacts. But in […]

New tool aims to speed up pentesting without risking safety
  • agentic AI
  • Article
  • cybersecurity
  • Development
  • pentesting
  • Software
  • Technology
  • testing

New tool aims to speed up pentesting without risking safety

  • 0

Autonomous testing tools promise efficiency but can introduce security risks and inaccuracies in production environments. On the other hand traditional […]

New testing agent helps verify AI-generated code
  • AI code assistants
  • Article
  • Artificial Intelligence (AI)
  • Development
  • GitHub
  • Technology
  • testing

New testing agent helps verify AI-generated code

  • 0

AI coding tools like Cursor and GitHub Copilot are generating code faster than any human team can verify it. Developers […]

87 percent of organizations run software with known exploitable vulnerabilities
  • Article
  • cybersecurity
  • Development
  • DevSecOps
  • Technology
  • vulnerabilities

87 percent of organizations run software with known exploitable vulnerabilities

  • 0

A new report from Datadog finds that 87 percent of organizations have at least one known exploitable vulnerability in their […]

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