Artificial Intelligence

The Economics Behind AI’s Infrastructure Boom

AI's infrastructure boom is consuming vast amounts of capital, power and computing hardware, raising questions about whether advertising, subscriptions and corporate spending can ultimately support the industry's expanding cost base.

Africa Is Adopting AI but Who Is Governing the Risks?

African institutions are adopting AI across public services and business, but effective deployment requires governance structures that address cybersecurity, accountability, procurement, digital sovereignty, regulatory coordination and institutional capacity.

How AI Answer Engines Are Quietly Rewriting What Makes a Domain “Brandable”

As AI answer engines become referral channels, domain distinctiveness may matter more than exact-match search intent, challenging traditional valuation models built around keyword demand, traffic and historical sales.

Taming Shadow AI: Closing the Context Gap in Enterprise AI Security

Shadow AI exposes sensitive enterprise data when employees use unsanctioned AI tools. Context-aware guardrails can reduce leakage and false positives by combining deterministic rules, contextual inspection, graduated enforcement and centralized observability.

US AI Policy Applies Two Scales at Home and Abroad

The danger the White House dismisses at home has justified restricting frontier models abroad. Now, as Trump meets Xi Jinping, competing forces within his administration could determine who writes global AI rules and in what register.

Why Container Security Is Still Fighting Yesterday’s Battle

Rule-based container security can miss attacks that evade predefined patterns, prompting an argument for behavioral detection that models activity across Kubernetes workloads and control planes while retaining rules for known threats.

How Domain Abuse, Social Media, and AI Fuel Brand Attacks

CISOs expect social media impersonation to become their leading cybersecurity threat as attackers increasingly combine AI-enabled deception, executive impersonation, and domain abuse across multiple channels to conduct fraud and steal sensitive information.

The Effects of AI Expansion on Testing Models and Infrastructure

AI workloads are exposing the limits of traditional network planning and testing, pushing operators toward better traffic visibility, workload-aware policies and production-like testing before adding capacity to infrastructure they may not fully understand.

Proposed New DNS Resource Record Types for AI Agent Discovery

For more than three decades, domain names have served as a foundational identity layer for internet applications. Initially used to identify early network services such as TELNET, FTP, and email, they later became essential to web browsing and a growing range of online services.

From Forgotten to Exploited: How AI Changes the Dangling DNS Threat

Dangling DNS records can expose trusted corporate subdomains to takeover, while AI-assisted reconnaissance makes abandoned resources easier to find, increasing the need for continuous DNS monitoring rather than periodic audits.