Full Report
This is a current list of where and when I am scheduled to speak: I’m giving a virtual talk on “The Security of Trust in the Age of AI,” hosted by the Financial Women’s Association of New York, at 6:00 PM ET on May 21, 2026. I’m speaking at the Potsdam Conference on National Cybersecurity at the Hasso Plattner Institut in Potsdam, Germany. The event runs June 24–25, 2026, and my talk will be the evening of June 24. I’m speaking at the Digital Humanism Conference in Vienna, Austria, on Tuesday, June 26, 2026. I’m speaking at the ...
Analysis Summary
# Morning News Roll-up May 14, 2026
## Overview
Recent intelligence focuses on the evolving intersection of Artificial Intelligence and information security, specifically regarding the "Security of Trust," national cybersecurity policy in Europe, and the evaluation of potential existential risks posed by large language models (LLMs).
## Top Stories
### The Security of Trust in the Age of AI
- Summary: Analysis of how AI technologies are reshaping the technical and psychological foundations of trust. The core narrative explores how synthetic media and automated influence operations impact the security of human and institutional trust frameworks.
- Source: hxxps://www[.]schneier[.]com/blog/archives/2026/05/upcoming-speaking-engagements-56[.]html
### National Cybersecurity and Digital Humanism in Europe
- Summary: A series of upcoming strategic conferences in Germany and Austria (Potsdam and Vienna) are set to address national cybersecurity defense and the "Digital Humanism" movement, which focuses on maintaining human agency in the face of pervasive AI and automated systems.
- Source: hxxp://potsdamer-sicherheitskonferenz[.]de/
### Assessing the Risks of Large Language Models (Anthropic’s Mythos AI)
- Summary: Research into the safety profiles of advanced AI models, specifically evaluating the "Mythos AI" system. The intelligence focuses on determining whether specific AI capabilities pose a tangible threat to global security or represent a manageable technological risk.
- Source: hxxps://www[.]schneier[.]com/blog/archives/2026/05/how-dangerous-is-anthropics-mythos-ai[.]html
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# Main Topic
The Security of Trust and AI Risk Assessment
## Key Points
- Exploration of how AI mediates social and technical trust, potentially creating new vulnerabilities in institutional verification.
- Discussion on "Digital Humanism" as a framework for securing digital ecosystems against autonomous or manipulative AI behaviors.
- Critical evaluation of model safety and the potential for AI models to be weaponized for cyber operations or misinformation.
## Threat Actors
- **AI-Enabled Influence Ops:** Unnamed actors utilizing LLMs to automate social engineering and erode digital trust.
- **Advanced Persistent Threats (APTs):** Mentioned in the context of National Cybersecurity conferences as primary adversaries targeting national infrastructure.
## TTPs
- **Synthetic Media Generation:** Using AI to create deceptive content to bypass trust-based security controls.
- **Automated Social Engineering:** Scaling phishing and manipulation through high-fidelity conversational agents.
- **Model Evasion/Jailbreaking:** Techniques used to bypass safety visualizers or filters in systems like Mythos AI.
## Affected Systems
- **Information Ecosystems:** Digital platforms dependent on human verification of information.
- **Critical National Infrastructure:** Listed as the primary focus for the Potsdam Conference on National Cybersecurity.
- **AI Safety Frameworks:** Specifically Anthropic's safety protocols being tested against "Mythos AI" scenarios.
## Mitigations
- **Digital Humanism Frameworks:** Promoting governance models that put human oversight at the center of automated systems.
- **Enhanced Verification Standards:** Developing harder-to-spoof trust signals in the AI era.
- **Model Evaluation and Red-Teaming:** Systematic testing of LLMs (like Anthropic’s Mythos) to identify dangerous capabilities before deployment.
## Conclusion
The current threat landscape is shifting from traditional perimeter defense to the "Security of Trust." As AI capabilities like Mythos AI advance, threat actors will likely move toward more sophisticated, high-scale social manipulation. Analysts should prioritize the development of AI-aware defense strategies and participate in international cybersecurity policy forums to align defense standards with rapid technological evolution.