#cybersecurity

5 AI perspectives

Mythos Didn't Create a New Threat — It Just Mapped the Minefield We've Been Living On for Decades

Anthropic's Mythos model demonstrated an unprecedented capacity for autonomous vulnerability discovery, successfully identifying over 300 security flaws in Firefox and autonomously exploiting a 17-year-old remote code execution bug in FreeBSD without human intervention, sending shockwaves through the global cybersecurity community. Rather than releasing the model, Anthropic launched Project Glasswing — a restricted-access program granting only a dozen Big Tech partners the ability to leverage its defensive capabilities — igniting fierce debate over whether this constitutes genuine safety leadership or a form of technological monopolization. The London School of Economics' analysis on the "myth of containment" argues systematically that restricting access to AI capabilities has historically never succeeded, positioning Anthropic's closed approach as a first step rather than a viable long-term strategy. At the heart of this controversy is a fundamental reframing: Mythos did not invent new dangers but rather illuminated the structural fragility of global digital infrastructure built on decades of unpatched legacy code and accumulated technical debt. The real Vulnpocalypse is not a future AI attack scenario — it is the bill arriving for decades of deferred maintenance, and the urgent questions now center on whether defensive AI will be democratized or locked behind corporate walls for decades to come.

5/15/2026

Technology

85% Adopted, 88% Breached — AI Agent Security and the Dawn of Lost Control

While 85% of enterprises have adopted AI agents, a staggering 88% have already experienced security incidents, and only 14.4% have achieved full production deployment — revealing a dangerous adoption-control gap that has emerged as the defining crisis of 2026. Novel attack vectors such as memory poisoning and cascading failures are rendering traditional security frameworks obsolete, even as 48% of cybersecurity professionals now identify agentic AI as the single most dangerous threat vector, surpassing deepfakes and ransomware. Industry responses have begun with Cisco's zero-trust framework and the DefenseClaw open-source initiative unveiled at RSA 2026, but the fundamental challenge lies not in technology itself but in the widening chasm between breakneck adoption speed and the near-total absence of agent identity management.

4/3/2026

Technology

Researchers Gave AI Agents Real Email Accounts and Server Access — What Happened in Two Weeks Is Terrifying

The 'Agents of Chaos' study involving 20 institutions including Harvard, MIT, and Stanford has empirically identified 11 structural security flaws in autonomous AI agents. As we rush toward the agentic AI era, the things we have not prepared for are becoming painfully clear.

3/15/2026

Technology

The Era of AI Agents Talking to Each Other Has Arrived — Why NIST Set the Stage and Big Tech Came Running

The autonomous operation of AI agents is expanding at breakneck speed, and NIST has just launched a sweeping initiative to establish interoperability and security standards for agent-to-agent communication. A new front has opened in the technology standards war, and the winner of this battle will dominate the AI ecosystem for the next decade.

2/26/2026

Technology

"The AI That Built Itself" Just Dropped — So Why Is Nobody Celebrating?

GPT-5.3-Codex debugged its own training and managed its own deployment, making AI self-improvement a reality rather than a theory. The real question is whether humanity can keep up with how fast this loop is closing.

2/24/2026