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IBM Technology

IBM Technology

8 articles

Whether it’s AI, automation, cybersecurity, data science, DevOps, quantum computing or anything in between, we provide educational content on the biggest topics in tech. Subscribe to build your skillset, learn about new trends, and gain insights from IBM experts. This channel follows the IBM Social Computing Guidelines.

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last updated 3 Feb 2026

  • Securing & Governing Autonomous AI Agents: Risks & Safeguards
    // IBM Technology

    Securing the Future: Safeguarding Autonomous AI Agents

    Autonomous AI agents offer vast potential but introduce significant security and governance challenges. Key threats include prompt injection, data poisoning, and model extraction. Governance issues revolve around autonomy, explainability, bias, and accountability. To build trustworthy AI, organizations must implement safeguards like AI discovery, security posture management, penetration testing, AI-specific firewalls, and comprehensive governance frameworks. Security and governance must work together; neither is effective without the other.

    Feb 3, 2026
    8 min read
  • ADK: Building Autonomous AI Agents Beyond LLMs
    // IBM Technology

    Beyond Chatbots: Empowering AI with Autonomy through Agent Development Kits

    Feb 2, 2026
    6 min read
  • What Is Vibe Coding? Building Software with Agentic AI
    // IBM Technology

    Mastering Vibe Coding: Agile AI-Assisted Development with Structure

    Jan 31, 2026
    9 min read
  • OpenClaw (Clawdbot): Open-source agents go mainstream
    // IBM Technology

    Navigating the AI Frontier: Agents, Ethics, and the Evolving Chip Landscape

    Jan 30, 2026
    4 min read
  • Securing AI for the Quantum Era: A CISOs Cyber Security Guide
    // IBM Technology

    Navigating the Future: Securing Agentic AI and Quantum Computing's Promise

    Jan 29, 2026
    6 min read
  • The newest AI malware vs. 40 years of hacker culture
    // IBM Technology

    Algorithmic Malice and the Enduring Ethos: A Four-Decade Reflection on Digital Craftsmanship

    This article delves into the transformative impact of AI on cybersecurity, examining the emergence of AI-generated malware like VoidLink and its implications for digital craftsmanship. It explores how executive leaders perceive cyber threats, contrasts data protection with service resilience, and analyzes the dismantling of cybercrime supply chains, such as RedVDS. The piece concludes with a reflection on the 40th anniversary of 'The Hacker Manifesto,' questioning the enduring ethos of hacker culture in an age of automated digital threats.

    Jan 28, 2026
    6 min read
  • Build AI Skills and Stay Relevant in the AI Economy
    // IBM Technology

    Navigating the AI Economy: Skill Adaptation as a Cornerstone of Modern Civilization

    Martin Keen and Justina Nixon-Saintil discuss navigating the AI economy by building crucial AI skills. They emphasize AI literacy as a universal requirement, continuous lifelong learning to avoid skill obsolescence, and utilizing AI tools for proactive skill development. The integration of human skills and AI offers substantial opportunities for those ready to adapt and learn, shaping a progressive future.

    Jan 27, 2026
    3 min read
  • LLM vs. SLM vs. FM: Choosing the Right AI Model
    // IBM Technology

    Decoding AI: Large, Small, and Frontier Models in the Landscape of Modern Computing

    Martin Keen clarifies the distinctions between Large Language Models (LLMs), Small Language Models (SLMs), and Frontier Models (FMs). LLMs excel in complex reasoning and creative generation, SLMs prioritize efficiency for focused tasks, and FMs push the boundaries of AI capabilities. Choosing the right model depends on project requirements and resource constraints, paving the way for AI's seamless integration into various aspects of human life.

    Jan 24, 2026
    3 min read
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