The broader policy discussion centers on governance, transparency, risk management, and AI-value-chain coordination, alongside concerns about market power from frontier AI models.

Canadian banks discussed these risks with regulators in April, following similar conversations by U.S. officials with banks on the same concerns.

Anthropic disclosed details of Claude’s J-Space, a private workspace for silent reasoning steps, fueling debates about machine consciousness and potential AGI implications.

Canada has access to Mythos via Anthropic’s Project Glasswing, enabling banks to use the model, though deployment details remain unclear.

Canada’s federal banking regulator warned the industry about frontier AI models like Anthropic’s Claude Mythos accelerating the identification and exploitation of cyber vulnerabilities, urging faster risk detection and mitigation.

The warning was communicated in an April email to senior technology, cybersecurity, and risk executives, portions redacted under the Access to Information Act.

Mythos is capable of scanning code and patching flaws, but can autonomously chain steps to take over a network, underscoring its dual-use risk for cyber attackers.

Redactions limit full disclosure of recommendations, but the visible material stresses accelerated vulnerability exploitation and the need for quicker defenses.

Access restrictions on advanced AI cybersecurity tools raise questions about uneven defenses and potential competitive disparities among banks.

The briefing warned Mythos compresses the window for risk mitigation, enabling rapid discovery and weaponization of flaws at scale.

Industry leaders, including RBC’s CTO, say Mythos signals a shift in the cyberattack landscape and stress building internal AI defenses to respond quickly to threats.

Frontier AI offers benefits like faster threat identification and automated security analysis, but also raises risks of accelerated exploitation and more sophisticated attacks.