RSAC 2026 marked the moment agentic AI moved from experimentation to operational reality. The threat surface has moved with it. This is the priority stack the world’s security leaders are being asked to build, in order, in 2026 and 2027. The RSAC 2026 signal is unambiguous: agentic AI is a Read more
The EU AI Act’s headline fines have not started flowing yet. But data-protection authorities and consumer-protection regulators have been enforcing against AI systems for years. Here is the record so far. Every entry links to the primary regulator’s own file. 13 – AI-washing cases filed by the FTC €7.1B – Read more
A dated map of the AI regulations that have already shaped enterprise practice, the obligations that are live right now, and the compliance dates already written into law. Every entry cites a named regulator or a published statute. Regulation is arriving in overlapping waves, not a single deadline. The Article Read more
Two very different maturity curves. Federal civilian agencies are being pushed by executive mandate to embed governance into every AI deployment. Enterprises are still treating governance as a compliance task, and progress has flattened since 2024. This is what the divide looks like in 2026. (Note: you can download Read more
A control problem, not a model problem. Agentic AI has crossed the threshold from experiment to operational dependency. Gartner projects that 33% of enterprise applications will embed agentic AI by 2028, up from less than 1% in 2024, and that 15% of day-to-day work decisions will be made autonomously by Read more
If your agents can’t prove – with tamper-evident evidence – that they follow every one of these at runtime, then you need Ethosure. Check below, and if you answer “no” to any of the items listed, you can download a free copy of our AI Governance Kit at the bottom Read more
A generic AI governance framework provides a starting point. Regulatory obligations, however, are sector-specific – and the gap between a general policy and a compliant program widens quickly once you enter a regulated industry. This chapter covers the requirements that apply directly to financial services (with particular focus on credit Read more
Organizations do not need to design their AI governance frameworks from scratch. A set of mature, internationally recognized frameworks and standards provides a solid starting point. The following is a practical reference guide. Framework / Standard Issuing Body Type Primary Use NIST AI RMF 1.0 NIST (U.S.) Voluntary Comprehensive AI Read more
These are documented, verified incidents in which the absence of adequate AI governance caused direct harm to individuals, organizations, or the public – and produced legal, regulatory, or financial consequences. Air Canada Chatbot Ruling (2024) In February 2024, the British Columbia Civil Resolution Tribunal ruled that Air Canada was liable Read more
We present a plausible projection of where inadequate AI governance could lead at a societal scale. Each element is grounded in warnings already issued by named researchers, institutions, and governments – not speculation. Systemic Financial Contagion The financial system’s shared digital infrastructure – cloud services, payment networks, widely used software Read more
