Observed Signal · Oct 2, 2026 · Security Incident · Source: techcrunch · Impact: 3/5 · Sentiment: Negative
Epic Pauses Product Development to Fix Security Bugs
Epic, the maker of the widely used MyChart patient portal, has paused most product development for about six weeks to address security flaws discovered by Anthropic's cybersecurity AI model Mythos. The vulnerabilities could potentially allow unauthorized access to patient records without detection. Epic's Chief Security Officer Stirling Martin confirmed some MyChart configurations could let outsiders access data without logging. The pause affects over 320 million patient records in the U.S. The company has not disclosed the bugs' nature. This move is rare in the industry and highlights growing cybersecurity threats in healthcare, especially as AI tools accelerate vulnerability discovery. Recent breaches at CareCloud, McKesson, and Craneware have affected millions.
This news is significant because Epic's MyChart is a critical healthcare infrastructure, and the pause highlights the growing cybersecurity risks in healthcare and the emerging role of AI in both defense and offense. However, it is not directly an AdTech or MarTech story, so the impact on the advertising industry is indirect.
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Key Takeaways & Evidence Grounding
- Epic pauses product development for six weeks to fix security bugs found by Anthropic's AI model Mythos.
- Security flaws could allow access to patient records without detection in MyChart.
- MyChart manages over 320 million patient records in the US.
- Recent healthcare breaches affected millions, including CareCloud (3.7M) and McKesson.
- DentaQuest breach is the largest healthcare data breach of 2026 so far (15M affected).
Connected Companies & Entities
1 Entity mapped“after a deployment of Anthropic’s frontier cybersecurity model Mythos...”
Ontology Mapping & Concepts
Related Market Signals & Shifts
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Unauthorized Access Reported to Anthropic's Mythos
A private online forum reportedly gained unauthorized access to Mythos, Anthropic's recently announced enterprise cybersecurity AI, by leveraging credentials or access through a third‑party vendor. Bloomberg told TechCrunch the group demonstrated use of the model with screenshots and a live demo; Anthropic says it is investigating and has found no evidence the activity impacted its own systems. Mythos had been distributed selectively to vendors including Apple under an initiative called Project Glasswing. The incident highlights third‑party supply‑chain risks for restricted AI releases and the potential for security tools to be repurposed if access controls fail.
Anthropic Keeps Claude Mythos Private Over Security Risks
Ewor, a Berlin-based startup accelerator positioning itself as a European competitor to Y Combinator, has raised about $70 million from investors to fund its program and equity investments in portfolio companies. Founded and led by Daniel Dippold, Ewor runs an application-driven accelerator that helps early teams hire, raise follow-on funding and reach initial revenues; thousands apply annually. The fund takes equity in participants and aims to scale into a billion-dollar company. Ewor’s portfolio includes fintech Zuba, which uses stablecoins for cross-border transfers. The Ewor team includes experienced founders such as SumUp co-founder Petter Made and Paul H. Müller (known for selling Adjust). Dippold highlighted Europe’s AI and university strengths (ETH Zurich, TU Munich) and noted significant applicant interest from countries like Poland in a Finance-Forward/manager-magazin podcast with editor Carsten Schlenk.
Anthropic Withholds Claude Mythos Over Safety Risks
A commentary argues Anthropic’s Mythos announcement was overstated. The author and cited experts note the demo used an easier test configuration (sandboxing disabled), making it more a proof‑of‑concept than an immediate, real‑world threat. Observers cited tweets and analyses showing that small, inexpensive open‑weight models reproduced much of the same vulnerability analysis and that Mythos’ measured capability (normalized ECI) appears only slightly above recent models like GPT‑5.4. The piece concludes Mythos is incrementally better but not a dramatic leap, and the demo highlights the need for regulatory and technical preparedness rather than signaling imminent catastrophic risk.
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