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Security through obscurity is dead, and AI delivered the fatal blow

RIP, you won't be mourned

Security through obscurity is dead, and AI delivered the fatal blow

The concept of security through obscurity has been rendered obsolete by the advent of artificial intelligence, according to industry experts. This strategy, which relies on keeping systems and vulnerabilities hidden, is no longer a reliable approach to protecting sensitive assets and networks. In fact, AI-powered tools are now capable of identifying previously obscure and decades-old vulnerabilities across widely-used software and open-source code, resulting in a surge of security disclosures and patches.

Even seemingly secure components, such as the Telnet client and Windows RNDIS, have been found to contain significant vulnerabilities. Moreover, AI technologies enable attackers to reverse-engineer fixes and uncover exploits within hours, posing a serious threat to organizational security. This is particularly concerning for critical operational technologies (OT) and industrial control systems (ICS), which often utilize outdated protocols and proprietary hardware.

AI can help cybercriminals gain access to these systems without requiring deep expertise, turning what was once a complex problem into a more accessible threat.

While AI is undoubtedly a powerful tool for threat actors, the elimination of the security through obscurity strategy may have some positive implications. It highlights the need for improved triaging and prioritization of security issues, as well as the development of more sophisticated defensive measures to keep pace with AI-generated exploits.

However, implementing effective AI-driven patching and remediation remains a significant challenge for organizations. Overall, the rise of AI has changed the landscape of cybersecurity, rendering the old concept of security through obscurity obsolete and underscoring the importance of proactive, defense-oriented strategies.

Written by urgent.news from The Register Science's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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