- Seqrite于2026年5月就Anthropic发布Claude Mythos模型向企业发出紧急安全警告。
- 专家预测未监管AI模型将在六个月内具备自主发现漏洞并发动攻击的能力。
- 印度储备银行评估认为先进AI模型将威胁速度从数月缩短至数小时。
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Seqrite Issues Urgent Cybersecurity Warning Following the Disclosure of Anthropic’s Claude Mythos AI Model
May 13, 2026
Pu...
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News/Media
Seqrite Issues Urgent Cybersecurity Warning Following the Disclosure of Anthropic’s Claude Mythos AI Model
May 13, 2026
Pune, May, 2026
, the enterprise security arm of
Quick Heal Technologies Limited
, today issued a critical advisory to enterprises and financial institutions in response to the public revelation of Anthropic’s “Claude Mythos” AI model. This advanced AI can autonomously discover and weaponise zero-day vulnerabilities in critical software infrastructure, signalling a permanent and concerning shift in the global cybersecurity threat model.
Anthropic’s recent disclosures and the launch of the defensive “Project Glasswing” initiative highlight an alarming reality: the window between a vulnerability being discovered and exploited has collapsed from months to mere hours. With industry experts predicting that unregulated, open-weight AI models could reach comparable capabilities within six months, Seqrite warns that malicious actors will soon possess unprecedented power to launch automated cyberattacks at machine speed and scale.
Addressing the urgent need for a significant shift in enterprise cyber defence and echoing concerns raised by regulators,
Dr. Sanjay Katkar, Joint Managing Director of Quick Heal Technologies Limited
, stated:
“The Reserve Bank of India’s assessment of risks around advanced AI models such as Anthropic’s Claude Mythos reflects a critical inflection point in cybersecurity. These systems are not just analytical tools; they have demonstrated the capability to identify and potentially exploit software vulnerabilities at a speed and scale that far exceeds traditional threat actors. Recent global developments indicate that such models can uncover thousands of weaknesses across core systems, raising concerns about accelerated and automated exploitation, particularly in complex sectors like banking.
From a cybersecurity perspective, this fund
采集时间: 2026-05-13 20:16:51
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