European Banks Scrutinize Anthropic’s Mythos Model Over Cybersecurity Risks
German banks and regulators are assessing risks tied to Anthropic’s Mythos model as concerns grow over AI-driven cyber threats to financial systems.
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German banks and regulators are assessing risks tied to Anthropic’s Mythos model as concerns grow over AI-driven cyber threats to financial systems.
OpenAI is scaling its Trusted Access for Cyber program and introducing GPT-5.4-Cyber to support vetted defenders as AI-driven security risks accelerate.
New AI cybersecurity systems like Anthropic’s Project Glasswing could increase demand for security professionals as threats and vulnerabilities scale faster.
U.S. officials met major bank CEOs to discuss cyber risks tied to Anthropic’s new AI model. The talks highlight rising concern over AI’s potential misuse in financial systems.
OpenAI plans to restrict access to a powerful new cybersecurity-focused AI model, reflecting growing concern over misuse as capabilities approach real-world attack potential.
Anthropic has launched Project Glasswing with major tech partners to use advanced AI for identifying and fixing software vulnerabilities. The move comes as AI models reach unprecedented offensive cyber capabilities.
Cybersecurity shares drop as Anthropic debuts AI-powered code scanning tool, raising concerns over potential disruption of established security business models.
OpenAI CEO Sam Altman said the creator of the viral AI agent OpenClaw is joining the company, while the project will continue as an open source initiative supported by OpenAI.
Moltbook, built on OpenClaw agentic AI, lets bots interact and form communities. Experts warn of security risks and governance challenges with AI-driven social networks.
Authoritative AI coverage of cybersecurity – breakthroughs, deployments, deals, and policy – helping teams defend faster and smarter.
Outtake has secured $40 million in Series B funding led by ICONIQ to expand its digital trust platform, helping enterprises manage security, identity, and AI-related risks across modern online ecosystems.
Anomaly detection is an AI technique that identifies unusual data, behavior, or events that may signal fraud, faults, errors, or security threats.
An adversarial attack uses carefully crafted input to mislead an AI model, bypass safeguards, expose data, or trigger an incorrect prediction.
OpenAI is hiring a Head of Preparedness to study emerging risks tied to rapidly advancing AI models, including mental health impacts and cybersecurity threats. The move reflects rising concern over how frontier capabilities could be misused as models grow more powerful.
OpenAI enhances AI cybersecurity capabilities with safeguards, trusted access programs, and collaborations to empower defenders and mitigate misuse risks.