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Home > Technology And Cybersecurity Due Diligence Sensemaking
Editor’s note: This overview of the Munich area defense, aerospace and deep tech community by OODA network expert Florian Wolf provides an insightful introduction useful to understanding the incredible tech ecosystem in this region. The focus on defense, aerospace and deep tech (including quantum) tells a big part of the story, but there is far…
The AI National Security Memorandum Strengthens U.S. Competitive Edge in the AI Race Artificial intelligence (AI) has quickly evolved from a commercial technology marvel into a strategic national security asset. As nations recognize AI’s potential to influence military operations, intelligence collection, economic competitiveness, and geopolitical power, governments will establish frameworks to accelerate innovation and secure…
The May 2026 OODA Network meeting captured a growing realization spreading across enterprise IT (and, as a result, diffused across industry sectors): Artificial intelligence is already restructuring enterprise IT operational assumptions and compressing enterprise timelines.
The four dominant Western frontier AI labs – OpenAI, Anthropic, Google DeepMind (Gemini), and Meta AI – are simultaneously the most heavily funded technology companies in history and among the least profitable. OpenAI is projected to burn $14 billion in 2026. Anthropic is spending $1.25 billion per month just on compute from SpaceX’s data centers.…
The assumption that we can prevent AI from being used for harmful biological research rests on a flawed premise: that we can control access to both the AI models and the underlying biological data.
We have two signature gatherings coming up this year, and both are worth planning around. Here’s what you need to know.
How Artificial Intelligence Is Transforming Chemicals, Metals, Mining, and the Business of American Materials The American materials sector sits at a pivotal juncture. The industry that furnishes the raw inputs for everything from microchips to skyscrapers is now being reshaped by the same technology it helps enable. Artificial intelligence is moving from isolated pilots to…
By David Bray, PhD I am going to be frank: I almost opted to title this article “Dear Silicon Valley AI Companies: Put Your Money Where Your Mouths Are” however I opted not to do this because a good Stoic views the world as opportunities to find good and improve the things that they can…
The American energy sector sits at a crossroads. The industry that powers the world’s largest economy is now being reshaped by the technology it helped make possible. Artificial intelligence is moving from pilot projects to production systems across oil and gas exploration, power generation, grid management, and renewable energy operations. The companies that figure out…
Why Patching Vulnerabilities Is No Longer Enough: The Case for Patterns-of-Life Cybersecurity By David A. Bray, PhD and Jeff Frazier The cybersecurity challenges posed by AI-empowered adversaries and increasingly sophisticated multi-stage attacks are not going to disappear. And while Anthropic’s Claude Mythos and Project Glasswing represent remarkable advances in AI-driven vulnerability discovery, relying solely on…
The financial sector’s AI acceleration story is ultimately about more than banking, markets, or digital payments. It is about the emergence of a new operational architecture for global economic coordination.
There is little doubt that China has matured into a full-spectrum cyber power. A recent analysis concludes that across sophistication, scale, stealth, and strategy, China should be regarded as a peer competitor.
Between 2021 and 2025, healthcare, cybersecurity, and the financial sector became live operational laboratories for accelerating artificial intelligence. What emerged is a new operational environment.
Manufacturing has always run on precision, repetition, and scale. Those same qualities make it a natural fit for artificial intelligence. AI has always been discussed in manufacturing, but the conversation has shifted. Increasingly it is about speed and diffusion of AI in service to outcomes in manufacturing. The question now is how fast manufacturing firms…
We are seeing key insights that boards and CEOs need to internalize: the shift to probabilistic agents running at machine speed, humans optimizing solely for efficiency, and autonomous systems operating without human oversight.
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