Banks and Telecoms Stress-Test Cybersecurity Amid AI Threats
Banks, telcos take test to check cybersecurity score
The Economic Times
Image: The Economic Times
Banks, telecom operators, and utilities in India are stress-testing their systems in response to the upcoming launch of Anthropic's Mythos AI model, which can rapidly identify software vulnerabilities. This initiative aims to bolster cybersecurity amid concerns that cybercriminals could exploit these vulnerabilities before organizations can respond.
- 01Anthropic's Mythos model has identified over 23,000 vulnerabilities in one month, with only 97 patched.
- 02The Data Security Council of India (DSCI) is assisting organizations in evaluating AI models for security risks.
- 03There is a significant talent shortage in cybersecurity, particularly in India, complicating the response to AI-driven threats.
- 04Banks and telecoms are adopting measures like micro-segmentation and improved authentication to enhance cyber hygiene.
- 05Experts warn that the rapid detection capabilities of AI models could outpace organizations' ability to remediate vulnerabilities.
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In response to the anticipated launch of Anthropic's Mythos AI model, which can quickly identify software vulnerabilities, essential service providers in India, including banks and telecom operators, are conducting stress tests on their systems. The model's ability to discover vulnerabilities at an unprecedented speed has raised alarms among cybersecurity professionals, as it identified 23,019 vulnerabilities in just one month, with only 97 being patched due to the lengthy remediation process. The Data Security Council of India (DSCI) is facilitating organizations in evaluating generative AI models for security risks through a sandbox environment. However, a significant shortage of cybersecurity talent in India poses a challenge, with organizations struggling to manage the influx of alerts generated by AI systems. Experts emphasize the need for proactive governance and collaboration to address the evolving cybersecurity landscape, as conventional infrastructures may be overwhelmed by the rapid pace of AI-driven threats.
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The rapid identification of vulnerabilities by AI models like Mythos could lead to increased cyberattacks targeting critical services.
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