We’ve reached a moment where AI is materially changing how breaches happen and how much they cost. IBM’s 2025 Cost of a Data Breach report shows the clearest signal yet: AI-driven security is lowering breach costs through faster containment, while ungoverned AI and shadow tools are quietly driving costs up. The balance between benefit and
Digital twins are virtual replicas of real-world systems that provide organizations with rich tools for experimentation, planning, optimization, and risk mitigation. Enabled by IoT sensors and IT/OT convergence, these simulations mirror their counterparts in a true-to-life fashion, with data flowing in real time from the physical location to its digital representation. Through digital twins, teams
AI technology is advancing faster than regulations can keep up, putting people and organizations at risk of extensive data collection and AI’s opaque decision-making and unpredictable behavior. This creates both opportunities and challenges for governance, risk, and compliance (GRC) practices. The lag between innovation and regulation is stark: ChatGPT reached 100 million users in two
How energy innovation is reshaping infrastructure for AI workloads AI is redrawing the global energy and infrastructure map. In the past year alone, energy demand from hyperscale AI data centers has surged so dramatically that innovators, operators, and governments are turning to unconventional solutions: redeveloping the site of America’s worst nuclear accident into an energy
Generative AI (GenAI) is likely the most significant technological breakthrough of the decade, yet the impacts are hard to quantify. Even detailed studies produce contradictory data, and while the evidence suggests a handful of hours saved per worker per week,1 there’s no clear correlation to revenue. How can we definitively say whether GenAI is worth
Long a sci-fi trope, the concept of “adversarial AI” has transcended fiction and emerged as a stark threat in the real world. As generative AI permeates across systems and applications, its potential for criminal mischief is multiplied by the emergence of agentic AI. More deployed AI models mean more targets and attack surfaces to exploit,
Artificial intelligence (AI) didn’t wait for an invitation. It’s already embedded in daily workflows, from meetings to content creation, and quickly becoming the most productive “employee” no one officially hired. B2B tech teams are embracing these tools enthusiastically, and often, quietly. Today, 80 percent of employees are now using AI at work, frequently without oversight,
Of all the established technologies that generative AI (genAI) is poised to upend, search engines may be among the most disrupted. The writing is on the wall for traditional search: Why comb through a list of context-free links in pursuit of a meaningful answer when you can have an AI do the sorting and parsing
Artificial intelligence (AI) has come a long way, from basement servers and academic labs to scalable, cloud-powered platforms. Once limited to researchers and deep pockets, AI became accessible to startups, small teams, and anyone with data and ambition. Now, it’s going even further—to the edge. Edge AI integrates intelligence directly into devices such as drones,
Artificial intelligence (AI) is undeniably transforming industries, redefining efficiency, and accelerating innovation. But as organizations race to scale AI, the conversation is shifting from what it can do to what it takes to get there, operationally, environmentally, and financially. Data centers already draw a sizable share of the world’s electricity, roughly 1 to 2 percent
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