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India orders infosec red alert in case Mythos sparks crime
Securities regulator urges market players to develop new strategies and nail cyber-basics before AI models fuel mass attacks India's Securities and Exchange Board has advised participants in the nation's equities industry to immediately revisit their information security systems and practices, in case Anthropic's Mythos bug-finding AI sparks a cyberattack spree. The Board is India's equivalent of the USA's Securities and Exchange Commission, or the UK's Financial Conduct Authority. On Tuesday, the Indian regulator issued an advisory that opens with the following observation: In response to those threats, the Board has established a taskforce that will examine the risks posed by models like Mythos, share threat intelligence, report incidents, and initiate a review of cybersecurity at third-party software vendors who supply the regulator and the entities it oversees. The advisory then offers some basic infosec advice: ensure patches are up to date, conduct audits of potential vulnerabilities, conduct inventories of APIs and secure them, run a serious SOC and take its advice, and harden systems by adopting principles such as zero-trust networking and running only essential services. The regulator also told participants in India's equities markets to have their IT committees issue guidance on how to mitigate risks created by AI-led vulnerability detection models, then develop a plan to use AI as part of their infosec armoury. "Also, undertake other measures including recalibration of risks for AI accelerated threats, AI-augmented SOC transformation, and continuous vulnerability management using AI tools," the advisory states. The Board directed the above advice at 19 different classes of company, ranging from venture capitalists to merchant bankers, mutual funds, stock exchanges, and even niche suppliers such as agencies that store know your customer information. Other regulators around the world have also acknowledged the risks Mythos poses. US Treasury Secretary Scott Bessent convened an emergency meeting with the nation's banks a few weeks back. Singaporean regulators did likewise, yesterday. Australian regulators sent local banks a strongly worded reminder that they must develop AI strategies that consider risks the technology creates. Hong Kong's Monetary Authority is working on new infosec guidance for the age of Mythos. India's approach stands out for effectively putting entities it regulates on alert to an imminent threat and ordering them to take action to prevent problems. ®
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SEBI Orders Cybersecurity Overhaul Over Mythos Concerns
The Securities and Exchange Board of India (SEBI) has named Anthropic's Claude Mythos in a circular dated May 5, ordering every regulated entity in Indian securities markets to immediately overhaul their cybersecurity infrastructure. SEBI is the first Indian financial markets regulator to name a specific AI model in a formal circular; CERT-In had first named Mythos across all sectors on April 26. The circular covers stock exchanges, depositories, mutual funds, brokers, credit rating agencies, custodians, merchant bankers, and portfolio managers, among others. SEBI's concern: Mythos can identify and exploit vulnerabilities "using speed and scale," threatening data confidentiality, application integrity, and reliability of outputs. Because all market participants are interconnected, one breach can trigger a domino effect across the entire ecosystem. SEBI has also constituted a task force called cyber-suraksha.ai, comprising representatives from market infrastructure institutions (MIIs), qualified registrars and transfer agents (QRTAs), and other regulated entities, to examine AI-driven cybersecurity risks, share threat intelligence, report cyber incidents on priority, and review third-party vendor security posture. What the circular requires: 6. Overhaul SOC monitoring. A Security Operations Centre (SOC) monitors an organisation's systems for threats around the clock. The circular requires: 7. Include AI as a risk scenario. Periodic risk assessments must now explicitly model AI model capabilities as a threat scenario. 8. Harden systems. Entities must adopt secure configurations, disable unnecessary services and default accounts, and enforce Zero Trust Network Architecture (ZTNA), a security model that requires verification at every step, assuming no user or system is trustworthy by default. 9. Update software inventory. Entities must periodically update their Software Bill of Materials (SBOM), a complete list of all software components, including open-source code, for all critical applications. 10. Build long-term AI defence. All regulated entities must prepare a long-term plan for using AI in detection and autonomous agentic mitigation, where AI systems independently identify and respond to threats without waiting for human instruction, including AI-augmented SOC transformation. Why this matters: SEBI naming Mythos in a circular is a significant regulatory moment. As MediaNama has reported, no Indian company, bank, or government agency has secured access to Mythos under Project Glasswing, Anthropic's $100 million restricted access programme. MeitY Secretary S. Krishnan confirmed on April 28 that India is still working out logistics with US authorities. This creates a structural contradiction: SEBI is ordering Indian financial institutions to defend against a model they cannot access to defend themselves with. Claude Security, Anthropic's enterprise defensive tool, gives Indian firms an indirect path through Infosys as a named partner, but runs on Opus 4.7, which produces two working exploits on the Firefox 147 benchmark against Mythos's 181, a 90x capability gap. MediaNama founder Nikhil Pahwa identified the core problem: "A tool that compresses attack timelines without compressing defense timelines increases systemic risk before it improves security." The data localisation conflict also remains unresolved. India's 2018 rules require payment system providers to store all transaction data on servers within India, while Mythos is hosted on US-based servers. The National Payments Corporation of India (NPCI) has not publicly addressed this.
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India's Securities and Exchange Board has issued a red alert circular naming Anthropic's Claude Mythos, ordering every regulated entity in Indian securities markets to immediately overhaul their cybersecurity infrastructure. The move makes SEBI the first Indian financial regulator to name a specific AI model in a formal directive, but creates a paradox: Indian firms must defend against a model they cannot access.
The Securities and Exchange Board of India has taken an unprecedented step by issuing a formal circular dated May 5 that names Anthropic's Claude Mythos as an imminent threat to the nation's financial infrastructure
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. The directive orders every regulated entity in Indian securities markets to immediately revisit their information security systems and implement a comprehensive cybersecurity overhaul1
. SEBI becomes the first Indian financial markets regulator to name a specific AI model in a formal circular, following CERT-In's initial warning across all sectors on April 262
.
Source: The Register
The advisory targets 19 different classes of companies across the equities industry, ranging from stock exchanges and depositories to mutual funds, brokers, credit rating agencies, custodians, merchant bankers, portfolio managers, and even niche software vendors who store know-your-customer information
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. SEBI's concern centers on how Mythos can identify and exploit vulnerabilities using speed and scale, threatening data confidentiality, application integrity, and reliability of outputs across interconnected market players2
.SEBI has constituted a specialized task force called cyber-suraksha.ai, comprising representatives from market infrastructure institutions, qualified registrars and transfer agents, and other regulated entities
2
. This task force will examine the risks posed by advanced AI models like Mythos, share threat intelligence, report cyber incidents on priority, and initiate a comprehensive review of third-party software vendors who supply the regulator and the entities it oversees1
. Because all market participants are interconnected, SEBI warns that one breach can trigger a domino effect across the entire ecosystem2
.The circular mandates immediate action across multiple fronts. Regulated entities must ensure patches are up to date, conduct comprehensive audits of potential vulnerabilities, maintain complete inventories of APIs and secure them, and harden systems by adopting principles such as Zero Trust Network Architecture while running only essential services
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. Organizations must overhaul their Security Operations Centre monitoring to track threats around the clock, explicitly model AI capabilities as a threat scenario in periodic risk assessments, and periodically update their Software Bill of Materials for all critical applications2
.SEBI also directed IT committees to issue guidance on mitigating risks created by AI-led vulnerability management models, then develop AI-driven strategies for using AI as part of their infosec arsenal
1
. The regulator specifically calls for recalibration of risks for AI-accelerated threats, AI-augmented SOC transformation, and continuous vulnerability management using AI tools, including autonomous agentic mitigation where AI systems independently identify and respond to potential cyber threats without waiting for human instruction2
.Related Stories
SEBI's directive creates a significant contradiction for Indian financial institutions. No Indian company, bank, or government agency has secured access to Mythos under Project Glasswing, Anthropic's $100 million restricted access programme
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. MeitY Secretary S. Krishnan confirmed on April 28 that India is still working out logistics with US authorities2
. This means SEBI is ordering Indian financial institutions to defend against a model they cannot access to test their own defenses.Claude Security, Anthropic's enterprise defensive tool, gives Indian firms an indirect path through Infosys as a named partner, but runs on Opus 4.7, which produces two working exploits on the Firefox 147 benchmark against Mythos's 181—a 90x capability gap
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. MediaNama founder Nikhil Pahwa identified the core problem: "A tool that compresses attack timelines without compressing defense timelines increases systemic risk before it improves security"2
.The data localization conflict also remains unresolved. India's 2018 rules require payment system providers to store all transaction data on servers within India, while Mythos is hosted on US-based servers
2
. India's approach stands out globally for effectively putting entities on alert to an imminent threat and ordering them to take action to prevent problems, while other regulators like the US Treasury Secretary Scott Bessent and Singaporean authorities have convened emergency meetings with banks1
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