KuppingerCole Analysts

• Analyst Chat #280: What you can expect for IAM in 2026 and Beyond

  What will Identity and Access Management (IAM) look like in 2026? In this episode of the KuppingerCole Analyst Chat, Matthias Reinwarth, Jonathan Care, and Martin Kuppinger discuss the key trends, challenges, and innovations shaping the future of IAM. Key Topics Covered: ✅ Emerging IAM threats: AI agents with broad system access✅ Managing the IAM tool zoo and avoiding integration chaos✅ Identity Fabric: building a flexible, future-proof IAM architecture✅ Continuous and passwordless authentication: improving security and user experience✅ Automation and orchestration: reducing human intervention in IAM processes✅ Shared signals, data-driven decisions, and overcoming alert fatigue✅ Preparing for non-human and agentic AI identities 💡 Stay ahead in IAM by evaluating your organization’s readiness for AI-driven identities, passwordless authentication, and automated governance. Use these insights to plan your 2026 IAM strategy and ensure your tools, processes, and policies are prepared for the next wave of innovation.

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• Mastering WAAP with Qrator Labs: Defending Against Bots, Attacks & DDoS

  Web application threats are evolving — and modern WAAP solutions must do far more than traditional WAFs ever could. In this video, Osman Celik speaks again with Andrey Leskin from QRator Labs to explore the capabilities organizations need to protect their web applications, APIs, and users from today’s most advanced threats. You’ll learn: ✅ The three core threat vectors: DDoS attacks, web application attacks, and malicious bots✅ Why traditional WAFs are no longer enough to protect modern applications✅ How WAAP solutions combine WAF, bot mitigation, API protection, and DDoS defense✅ How attackers use low-and-slow techniques, scraping, and AI-driven bots to mimic real users✅ Why half of all internet traffic is bots — and how to distinguish good bots from malicious ones✅ How QRator Labs unifies Anti-DDoS, WAF, and Anti-Bot into a single platform and single point of truth 📈 With automated attacks, scraping, and bot-driven abuse increasing across every industry, organizations need a holistic approach to defending their web applications. 🔒 Watch now to learn how WAAP, WAF, Anti-Bot, and DDoS mitigation come together in one platform to protect your business.

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• Analyst Chat #279: Apple Wallet Digital IDs - Why This Is Progress, Not a Breakthrough

  Is Apple's Digital ID Wallet truly a game changer, or are we missing the bigger picture? In this episode of the KuppingerCole Analyst Chat, Matthias Reinwarth and Martin Kuppinger talk about Apple's announcement of digital IDs in Apple Wallet and what it means for the future of digital identity. 🔑 Key Topics Covered: Apple's Digital ID implementation in selected US states The fundamental difference between ID cards and verifiable credentials Why current wallet solutions fall short of their potential Real-world use cases: employee onboarding and bank loan automation The device-bound limitation problem Standards and interoperability (mDoc, ISO, FIDO) How enterprises should prepare for multiple wallet ecosystems Comparison with EUDI Wallet and other digital identity initiatives 💡 Expert Insights: Martin Kuppinger explains why the real value of digital identity wallets lies far beyond simple ID verification, exploring complex scenarios involving hundreds or thousands of verifiable credentials for business process automation.

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• Analyst Chat #278: Why Data Provenance Will Define the Next Phase of AI Compliance

  In this week's episode, Matthias Reinwarth and Alexei Balaganski discuss the growing importance of AI Data Provenance. The conversation explores why provenance is distinct from traditional logging, the operational gaps between ML engineering practices and regulatory expectations, and the regulatory context driving these requirements. They get into the risks of attempting to retrofit governance after AI systems are already deployed and explain why provenance must be built directly into data and model workflows. Key Topics Covered:✅ AI data provenance is a new and urgent issue.✅ Low-quality data leads to poor AI outcomes.✅ Auditing and compliance are essential for AI systems.✅ Organizations must establish governance for AI data.✅ Data catalogs and traceability are foundational.✅ Prepare for AI regulations like GDPR.✅ Start small and apply a risk-based approach.✅ Never trust, always verify your data sources.

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• Analyst Chat #277: Mastering IT Governance - Strategy, Compliance & the 1.5 Line of Defense

  IT governance isn’t just paperwork anymore, it’s becoming a critical foundation for how modern organizations operate, stay secure, and stay compliant. This week, Matthias Reinwarth is joined by advisors Kai Boschert and Patrick Teichmann to break down what effective IT governance actually looks like in 2025. Together, they unpack: ✅ What IT governance really is — and how it bridges strategy and operations✅ The differences (and overlaps) between strategy, governance, and compliance✅ Why the “1.5 line of defense” model helps close crucial gaps✅ The role of target operating models in making governance work at scale✅ How to bring stakeholders, processes, and tools together effectively✅ Practical steps to start improving governance today — without boiling the ocean Whether you’re shaping governance for a large enterprise or just beginning to formalize your processes, this conversation delivers real-world insights from active advisory work with end-user organizations.

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