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AI-powered SOAR: automating incident response playbooks

The advent of AI has led to increasing human productivity and efficiency. However, it has also contributed to digital threats growing more sophisticated. In 2026,…

Fact vs. Fiction: what it really takes to build a...

Benefits of AI-powered SOC

The digital environment is expanding at an unprecedented speed. The rapid digitalization is contributing to an ever-increasing volume of security telemetry, which is humanly not…

Human-in-the-loop ERP agent, where automation stops

Manufacturing organizations operate as massive, complex enterprises with multiple interdependent functions—from R&D, product design, billing, supply chain and regulatory compliance. Enterprise Resource Planning (ERP) systems like SAP and Oracle serve as the…

AI SOC vs. traditional SOC: a complete comparison

The key differences between an AI SOC and a traditional SOC lie in how they detect, analyze, and respond to threats. A traditional Security Operations…

Why “Having an AI Policy” Isn’t Enough

    Enterprise AI is no longer experimental. According to multiple industry analyst estimates, over 70% of organizations now deploy AI at scale. AI is…

Choosing AI infrastructure for cost predictability

What is the primary factor that leads to an unplanned increase in budgets even when model prices decline? The answer lies in the infrastructure choices…

Traditional data centers versus AI-native infrastructure

$3 trillion. It’s an amount that is difficult to visualize. And this is the amount that Morgan Stanley, a leading bank, predicts that the industry…

Cloud/AIFinOps – Why is Cloud FinOps an important piece in...

Understanding the Financial Gravity of AI in the Cloud AI runs on Cloud infrastructure that scales at breakneck speed. The economics of that infrastructure decide…