From the lab

Writing & dispatches.

Field notes on enterprise AI — the systems we build, the problems we solve, and what we're learning. No hype, just the shape of the work.

Autonomous AI Cyberattacks: A Fundamental Shift in Enterprise Defense

Frontier AI has fundamentally transformed the nature and speed of cyber threats, moving beyond human-assisted attacks to autonomous operations. Enterprises must urgently re-evaluate and fortify their cybersecurity defenses against these adaptive, machine-speed adversaries.

News·Sep 10, 2026

Enterprise AI Agents: Closing the Governance Gap to Mitigate Emerging Risks

Enterprises are rapidly deploying autonomous AI agents, creating critical security vulnerabilities due to inadequate governance. Immediate action is required to establish robust control mechanisms and address the widening gap between adoption and security.

News·Sep 9, 2026

Shadow AI: Unsanctioned Tools, Unforeseen Risks for the Enterprise

Shadow AI, the unsanctioned use of artificial intelligence tools by employees, introduces significant and often unseen risks to enterprise data security, regulatory compliance, and operational integrity. Understanding its drivers and implementing robust governance are critical for mitigating these challenges.

Article·Aug 31, 2026

Autonomous AI Agents Reshape Enterprise Cybersecurity Risk

The rapid adoption of autonomous AI agents introduces a new class of cybersecurity risk, demanding proactive strategies beyond traditional defenses. Enterprises must address vulnerabilities from agent autonomy, broad data access, and complex toolchains to prevent high-impact incidents.

Article·Aug 26, 2026

Real-Time Governance: Essential for Enterprise AI Agent Control

As AI agents scale across enterprises, their consumption-based costs and autonomous actions demand immediate, real-time governance. Implementing continuous monitoring, guardrails, and kill switches is critical to prevent uncontrolled spending and mitigate operational risks.

Article·Aug 20, 2026

Navigating AI-Driven Cyber Threats: Mechanisms, Impacts, and Multi-Layered Defenses

Artificial intelligence is fundamentally reshaping the cybersecurity landscape, acting as a force multiplier for threat actors and enabling new attack vectors. Enterprises must understand the concrete mechanisms of AI-powered threats and adopt multi-layered defense strategies that integrate technology, human oversight, and robust governance.

Article·Aug 6, 2026

Navigating the Immediate Reality of AI Governance Deadlines

While some AI governance deadlines have shifted, enterprises face immediate and evolving compliance obligations across both the EU and US states. Proactive establishment of robust AI governance frameworks is critical to avoid compliance gaps and operational disruptions.

Article·Aug 6, 2026

Escalating Cyber Threats Target Critical Infrastructure and Supply Chains

Recent cyber attacks demonstrate an escalation in frequency and impact, with sophisticated adversaries increasingly targeting critical infrastructure and supply chains. This trend, coupled with rising AI-related vulnerabilities, underscores persistent gaps in advanced cyber hygiene and supply chain risk management.

News·Aug 6, 2026
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