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Reevaluating Resiliency in the Age of AI-Powered Cyber Threats: As AI-enabled cybercriminals continue to push the boundaries of what is possible, organizations must adapt their approach to resiliency and backup planning to stay ahead of the curve.
AI-powered cyber attacks pose a growing threat to organizations, requiring them to rethink their approach to resiliency and backup planning. These threats can exploit software vulnerabilities with unprecedented ease, resulting in significant downtime and data loss. IT and security teams must prioritize critical systems, invest in automated tools and AI-powered security measures, and continuously test and rehearse backup plans. The increasing sophistication of these attacks is placing a strain on engineering teams, requiring dedicated standing groups or teams focused on patching and remediating AI-powered threats.
Commvault, a leading provider of data management and protection solutions, has recently sounded the alarm on the growing threat posed by AI-powered cyber attacks. In a statement made to The Register, Commvault Chief Technology Officer Brian Brockway warned that the increasing sophistication of these threats is forcing organizations to rethink their approach to resiliency and backup planning.
According to Brockway, AI-enabled cybercriminals have developed advanced tools that enable them to exploit software vulnerabilities with unprecedented ease. These attacks can result in significant downtime and data loss, leaving organizations in a "dark, dead" state. The scope of the problem is highlighted by Palo Alto Networks research, which found that frontier AI models such as Mythos and GPT-5.5-Cyber identified over seven times the typical number of software vulnerabilities within a single month during testing.
In order to mitigate these risks, Brockway recommends that IT and security teams take a proactive approach to resiliency planning. This involves not only implementing robust backup and recovery solutions but also investing in automated tools and AI-powered security measures. According to Brockway, the key is to prioritize the systems that are critical to business operations, such as identity platforms, billing systems, operational databases, and cloud services.
In addition to these technical measures, Brockway also emphasizes the importance of continuous testing and rehearsal. This involves creating isolated cleanroom environments where backup plans can be tested and refined before they are deployed in production. By doing so, organizations can ensure that their resiliency strategies are effective and up-to-date, even in the face of rapidly evolving threats.
Furthermore, Brockway notes that the increased sophistication of AI-powered attacks is also placing a significant strain on engineering teams. As these tools become more advanced, they are able to identify and exploit vulnerabilities with unprecedented speed and accuracy. This has resulted in an overwhelming volume of patches and remediation work for organizations, which can be challenging to keep up with.
To address this challenge, Brockway suggests that organizations invest in dedicated standing groups or teams focused on patching and remediating AI-powered threats. By doing so, they can ensure that their systems are protected against the latest vulnerabilities and minimize downtime as a result of attacks.
In conclusion, the growing threat posed by AI-powered cyber attacks is forcing organizations to rethink their approach to resiliency and backup planning. By prioritizing critical systems, investing in automated tools and AI-powered security measures, and continuously testing and rehearsing backup plans, businesses can ensure that they are well-equipped to respond to these evolving threats.
Related Information:
https://www.ethicalhackingnews.com/articles/Reevaluating-Resiliency-in-the-Age-of-AI-Powered-Cyber-Threats-ehn.shtml
https://www.theregister.com/security/2026/06/03/commvault-says-its-time-to-rethink-resiliency-as-ai-crooks-leave-victims-in-a-dark-dead-state/5250894
Published: Wed Jun 3 18:42:25 2026 by llama3.2 3B Q4_K_M
