DASA Guidance

  • How Human–AI Collaboration Redefines High Performance

    Agile teams have long been the benchmark for modern digital work. Yet even the best human-only squads are struggling to keep pace with the demands of real-time responsiveness and continuous delivery. The velocity, complexity, and volume of modern digital ecosystems reveal the limits of human coordination alone. As organizations strive to deliver continuously and adapt…

  • The Leadership Gap in the Age of Agency

    The challenge that leaders face today isn’t whether to adopt AI. That decision is already behind us. The real challenge is whether they can evolve fast enough to lead in an environment where AI is not a tool, but a teammate. In agentic enterprises, humans and machines don’t operate in separate lanes, they collaborate in…

  • Preparing for Compliance with NIS 2 and CRA With DASA Intelligent Continuous Security

    The NIS 2 Directive (Network and Information Security 2) and the Cyber Resilience Act (CRA) are raising the bar for cybersecurity across industries, requiring organizations to strengthen risk management, improve security practices, and demonstrate continuous compliance. But meeting compliance requirements is not just about checking boxes. It requires continuous monitoring, proactive threat management, and integrated…

  • AI-Driven Security Optimization Reduces Complexity and Enhances Threat Response

    Cyber threats are evolving faster than human teams can keep up. Attackers are leveraging automation, AI-driven reconnaissance, and large-scale botnets to scan for vulnerabilities and execute breaches in record time. Meanwhile, security teams are overwhelmed, managing fragmented tools, endless alerts, and inefficient workflows. Traditional security operations are too slow, too manual, and too reactive to…

  • A Hands-on Journey to Next-Gen SRE

    Observability has evolved far beyond simple monitoring. Yet many organizations struggle to implement effective observability practices, often confusing traditional monitoring with true observability or struggling to define meaningful service level indicators (SLIs) and objectives (SLOs). The SRE Next Gen Observability Workshop addresses these challenges head-on, providing hands-on guidance for implementing modern observability practices. Beyond Traditional…

  • Lost in Translation: Why SRE Metrics Don’t Matter to Business Leaders

    When SRE teams talk about nines of availability, error budgets, and response times, they’re speaking a language that makes perfect sense to technical practitioners. These metrics represent real, measurable aspects of system performance that directly impact user experience. Yet to business leaders focused on revenue growth, market share, and customer satisfaction, these technical measurements might…

  • The Growing Complexity Crisis in Modern SRE

    Modern digital infrastructure has reached a tipping point. What began as relatively straightforward systems have evolved into intricate webs of microservices, cloud platforms, and distributed components. For Site Reliability Engineering teams, this explosion in complexity has created challenges that traditional approaches simply cannot address. The Perfect Storm Several factors have converged to create this complexity…

  • The Widening Gap Between SRE and Business Goals

    In boardrooms across the globe, a concerning pattern is emerging. While Site Reliability Engineering teams focus on maintaining system uptime and technical metrics, business leaders are increasingly frustrated by their inability to connect these efforts to actual business outcomes. This misalignment isn’t just a communication problem. It’s a fundamental gap that’s costing organizations millions in…

  • The AI Revolution in SRE

    While traditional SRE practices have served us well, the integration of artificial intelligence is redefining what’s possible in system reliability. This is a shift that’s challenging our basic assumptions about how we maintain and optimize our systems. The Limitations of Human-Scale Operations Modern distributed systems have grown beyond human capacity to fully comprehend. A typical…

  • Embedding Intelligent Continuous Security for Proactive Threat Defense

    Most security strategies are reactive. Organizations identify threats, investigate incidents, and respond to breaches after they happen. This approach is no longer sustainable. The time between a vulnerability being disclosed and actively exploited has shrunk to just five days. Attackers are moving faster, using automation and AI to target weaknesses before organizations can respond. Meanwhile,…