In a continuously evolving cybersecurity environment, Commvault has outlined four essential steps for maintaining resilience with the emergence of Frontier AI. This new era, marked by sophisticated AI models, escalates vulnerability discovery, shortens exploitation timelines, and intensifies the necessity for robust resilience strategies.
Frontier AI significantly alters the threat landscape along two primary axes. Firstly, advanced AI models are responsible for a surge in discovering Common Vulnerabilities and Exposures (CVEs). Research by Palo Alto Networks demonstrates that AI-driven cybersecurity tools can identify vulnerabilities at more than seven times the typical rate observed in a single month. Secondly, the nature of cyber attacks is becoming increasingly autonomous, with AI-assisted exploitations manifesting within minutes of vulnerabilities being disclosed, consequently shrinking the remediation timeline for organizations. In this climate, resilience transcends the boundaries of conventional recovery plans, evolving into a critical operational requirement.
Compromised Production Systems
This evaluation requires asking in-depth questions beyond the existence of backups
Nick Patience, VP and AI Practice Lead at Futurum Group, states, “Frontier models change the economics of vulnerability discovery. AI models will reveal exploitable vulnerabilities at such a fast pace, remediation programs must evolve.” While rigorous patching strategies remain vital, prioritizing readiness, resilience, and clean recoveries is now imperative according to Patience. Commvault advises enterprises to adopt a preparedness framework comprising four vital steps designed to equip them for the Frontier AI landscape:
IT and security teams need to determine if their current recovery strategies can endure the accelerated discovery and exploitation cycles of vulnerabilities. This evaluation requires asking in-depth questions beyond the existence of backups: Are critical systems restored without compromise? Are recovery environments protected from compromised production systems? Are recovery plans aligned with essential dependencies?
Isolated Recovery and Air Gapping
Organizations should plan for the possibility that some vulnerabilities, software defects, or third-party exposures may progress faster than standard remediation cycles allow.
Maintaining immutable and isolated copies of critical data and workloads, segregated from production environments, is fundamental. These copies offer a fallback when patching efforts fall short. Additionally, organizations must validate Recovery Time Objectives (RTOs) and Recovery Point Objectives (RPOs) against realistic attack scenarios, understanding the changing threats posed by autonomous exploitation.
Prioritize Critical Systems
Identify indispensable systems crucial for business operations, such as identity platforms
Identify indispensable systems crucial for business operations, such as identity platforms, billing systems, operational databases, and cloud services. Determine the necessary recovery sequence. As AI is increasingly integrated into operations, it is vital to assess and adjust for newer dependencies, including data pipelines, model repositories, vector databases, and agentic workflows.
In the backdrop of Frontier AI, recovery plans cannot remain static. Automation of threat scanning, clean recovery point identification, dependency-aware restoration, and recovery orchestration is essential, with regular testing conducted in isolated cleanroom environments to preemptively manage incidents.
Measurable Recovery Readiness
Patience emphasizes, “Organizations that embrace this four-step process will be better suited to take advantage of rapidly evolving AI models while also mitigating the risks.” Jayson Morgan, SVP Infrastructure at BOK Financial Corporation, adds, “What matters isn’t simply whether backups exist, but whether we can recover cleanly, validate integrity, and resume operations fast when it matters most.”
Operationalizing resilience through ResOps provides a critical approach to achieving business continuity amid cyberattacks, outages, and challenges posed by AI advancements. This model emphasizes continual testing, verifiable recovery readiness, and securing both production and recovery frameworks. Bill O’Connell, Commvault’s Chief Security Officer, states, “ResOps gives organizations a way to continuously validate readiness, advance clean recoveries, restore systems with confidence, and build resilience into the way they operate.”
