Artificial Intelligence

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.

AI Is Rewriting the Internet. But in Whose Language?

AI is becoming a gateway to the internet, but thousands of languages remain excluded. Closing the gap requires multilingual infrastructure, representative training data and policies that make linguistic inclusion a foundation of the AI era.

Open-Weight AI: Open to Whom?

The push for open-weight AI promises broader access and competition, but true openness requires more than releasing model weights. Compute, infrastructure, training data, security, and control ultimately determine who can meaningfully benefit from open AI.

AI Duties Are Being Written but the Protocol Layer Is Missing

Recent AI containment failures expose a governance gap: harmful model behavior is often visible at the network boundary but poorly monitored. Adapting proven internet protocols could give governments and companies practical tools to enforce accountability.

The Growing Push for Data Sovereignty

Governments, corporations and Indian Tribes increasingly want to keep their data out of Big Tech's hands. The push for data sovereignty could reshape cloud computing, favoring private AI systems over sprawling, centralized data centers.

The Role of Artificial Intelligence in ICANN’s 2026 Round of gTLD Applications

AI can help applicants navigate ICANN's complex new gTLD process, from business planning and financial modeling to drafting and reviewing applications, pointing towards faster, cheaper and increasingly automated domain-name rounds in the future.

The Web Has Become a Content Delivery Network

Cyberattacks, AI scraping and relentless bot traffic have transformed CDNs from performance tools into the Web's defensive gatekeepers, reshaping Internet architecture, governance and control as private intermediaries increasingly determine which requests reach origin servers first.

Safe for Whom? A Pilot’s Take on the AI Incident-Reporting System

Drawing on aviation's trusted incident-reporting model, a former pilot argues AI safety needs confidential reporting paired with public learning, and that legitimacy, international participation and transparency must be built into SAFE from the outset.

Phantom Squatting: When LLMs’ Hallucination Becomes an Attacker’s Best Friend

As AI reshapes cybersecurity, attackers are exploiting a fundamental weakness in large language models. Phantom squatting turns hallucinated domain names into trusted attack vectors, creating a new class of DNS abuse that defenders cannot solve by eliminating hallucinations alone.