BT has joined Anthropic’s Project Glasswing to deploy the Claude Mythos Preview AI model to help detect and remediate network security vulnerabilities.
Telecom operators are under constant pressure to automate threat detection at scale. BT alone blocks roughly four million cyberattacks across its networks every day, producing vast quantities of telemetry that exceed the capacity of manual analysis.
Human teams cannot manually examine all the logs and signals generated by that volume of hostile traffic. Integrating large language models into security operations centres offers a way to process incident data more quickly and accurately than traditional heuristic systems.
BT Chief Executive Allison Kirkby confirmed the company’s participation in Anthropic’s Project Glasswing at the UK Government’s AI Adoption Summit, securing access to the Claude Mythos Preview model.
“AI only works at scale when it is underpinned by future-ready networks that are secure, resilient, safe,” Kirkby said.
Anthropic describes Claude Mythos Preview as a frontier AI model. Project Glasswing brings together critical infrastructure providers so they can use advanced models to identify and address vulnerabilities across the systems that support millions of users. Trusted organisations gain the ability to rapidly surface flaws so security teams can remediate them before malicious actors exploit them.
BT operates this capability alongside its existing defensive systems. Machine learning already flags anomalous traffic patterns across the global network, but turning those anomalies into timely, actionable intelligence is labour intensive. Claude Mythos Preview helps by ingesting raw security alerts, correlating events across different network nodes, and producing concise natural-language summaries for incident responders.
Jon James, CEO of BT Business, commented: “AI is changing cybersecurity fast, and businesses need trusted partners who can help them stay one step ahead. By joining Project Glasswing, BT will strengthen its cyber security capability to protect our networks, our customers, and the wider UK.”
Machine speed threat response
Security architectures break down when mean time to respond falls behind an adversary’s execution speed. BT Business recently announced a collaboration with Accenture to build advanced AI-powered cyber operations aimed at responding to threats at machine speed. Adding Claude Mythos Preview to that operational stack supplies the cognitive engine needed to reach higher velocity in detection and response.
Traditional Security Information and Event Management (SIEM) systems generate thousands of low-fidelity alerts every day, forcing human operators to spend hours separating false positives from genuine incidents. The Anthropic model can parse those alerts immediately: it can examine code associated with a suspected vulnerability, compare suspicious traffic against known attack vectors, and provide a clear assessment to the analyst.
This capability shortens triage time from hours to seconds, allowing defenders to focus on executing remediation rather than chasing the root cause. Preventing exploitation before criminals can act is central to Project Glasswing’s purpose.
Building sovereign AI capabilities
Government policy increasingly influences how telecom providers adopt new technologies. Kirkby opened the UK Government’s AI Adoption Summit in front of senior officials, including Chancellor of the Exchequer Rachel Reeves and Business Secretary Peter Kyle, underscoring the national importance of secure AI deployment in critical infrastructure.
Other attendees included DSIT Secretary Liz Kendall, Cabinet Secretary Antonia Romeo, and Minister for AI and Online Safety Kanishka Narayan, highlighting the intersection between national security and private network operations.
Kirkby emphasised BT’s commitment to supporting the development and deployment of sovereign British AI capability. She outlined a vision for the UK to be an AI creator, not just a consumer, and positioned BT as both an enabler of responsible adoption and a responsible adopter itself.
Being a responsible adopter means isolating AI models from raw customer data while still enabling analysis of network telemetry. Telecom providers must enforce strict data governance, so allowing external models to process proprietary logs requires secure enclaves and robust controls.
Anthropic provides enterprise-grade boundaries designed to prevent data leakage. BT Business already delivers AI-powered cybersecurity solutions for customers of all sizes, including offerings tailored to small businesses. The security and integrity of those commercial products depend on the underlying protections applied to the BT network.
Techniques developed to secure telecom infrastructure gradually inform the commercial services sold to corporate clients. The scale and persistence of the threat landscape make staying ahead of adversaries essential.
See also: Nokia turns 2000km production fibre route into active sensor
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