The post-quantum security transition is emerging as one of the most pressing challenges facing enterprise and government infrastructure. In “harvest now, decrypt later” attacks, adversaries steal encrypted data today to unlock it once quantum computers mature. Estimates for when quantum machines become a credible threat have steadily compressed from mid-century toward the end of this decade, ...

Security and engineering teams can no longer operate in silos as software delivery accelerates and adversaries move faster with AI, requiring shared context from production data so both sides can prioritize risk and respond without friction. At Black Hat USA 2026, this friction was a major focus. Historically, data separation creates delays. Security teams often ...

AI is ending the era of scarce vulnerabilities, making powerful offensive capabilities abundant and pushing cybersecurity teams to move beyond reactive patching toward fundamentally safer software construction. That reality was the core of a Black Hat USA keynote from David Weston (pictured), corporate vice president of AI security at Microsoft Corp., titled “The End of ...

As AI agents move from experimental chatbots into production systems, enterprises must rethink agent governance. Autonomous actors are gaining access to sensitive data, tools and business processes that traditional identity and security controls were never designed to handle. Enterprise cyber resilience company Rubrik Inc., which this week unveiled Rubrik Agent Identity to govern agent access ...

Enterprise AI infrastructure providers are turning to multi-tenancy paired with upstream data protection to convert idle GPU capacity into secure, token-metered services that enterprises will actually adopt at scale. That tension is pushing infrastructure providers toward a model that treats utilization and security as two sides of the same equation, as the market shifts from ...

Enterprises are discovering that a scalable intelligence layer built on knowledge graphs delivers the institutional context that turns generic AI models into reliable production systems. As companies push AI from pilots into production, a new software layer is emerging to link structured, unstructured and connected data into the neural pathways of a business. Startups are ...

AI is rapidly moving from the edges of biotech into its core, reshaping how companies discover, design and de-risk new medicines. After years of investment and impressive laboratory breakthroughs, the industry is now focused on what it takes to turn computational power into approved therapies — from raising the probability of clinical success to building ...

The transition from chatbots to autonomous agents is changing the shape of demand itself, and tokenomics — the economics of AI token consumption — is emerging as the defining constraint on enterprise budgets as round-the-clock inference replaces intermittent usage. Fewer than 1% of potential users are currently deploying agents at scale, leaving enormous headroom for ...

AI infrastructure is undergoing a fundamental shift as the unit of deployment moves from the server rack to the entire data center, making open co-design networking a first-class design priority rather than an afterthought. That reordering was on full display this week as Advanced Micro Devices Inc. used its Advancing AI 2026 event to argue ...

Agentic AI compute has become the defining workload of the cloud’s next era, reshaping how hyperscalers, neoclouds and enterprises architect their infrastructure. As autonomous agents move into production, demand for both GPUs and high-core-count CPUs is surging — and the economics of cloud computing are being rewritten in real time. The shift echoes the cloud’s ...