Artificial intelligence is changing ransomware at a pace many enterprises are struggling to match. While most cybersecurity conversations continue to center on preventing attacks, the growing sophistication and speed of AI-enabled ransomware is forcing organizations, and the channel partners that support them, to rethink cyber resilience from the standpoint of recovery.
AI expands the ransomware attack lifecycle
Artificial intelligence has quickly become a force multiplier for cybercriminals rather than a replacement for traditional ransomware techniques. Security researchers say attackers are increasingly using generative AI and machine learning throughout the attack lifecycle, allowing them to operate faster and at greater scale.
AI is now being used to:
- craft highly convincing phishing emails and business email compromise campaigns with fewer grammatical errors and stronger personalization;
- generate or modify malware to evade signature-based detection;
- automate reconnaissance by identifying exposed assets and misconfigurations across enterprise environments;
- accelerate vulnerability research and exploit development;
- summarize stolen data and identify high-value information for extortion; and
- create convincing deepfake voice or video content that supports social engineering attacks.
Faster attacks increase pressure on cyber recovery
That changing threat landscape is one reason Index Engines CRO Neil DiMartinis believes organizations—and the channel partners advising them—need to rethink recovery planning before the next attack occurs.
“The biggest challenge that any enterprise is going to face is speed,” DiMartinis said, noting that AI enables attackers to operate “faster than they’ve ever acted before.”
For enterprises, that means traditional security investments alone are becoming insufficient. Detection and prevention remain essential, but organizations increasingly need confidence that they can recover operations quickly after an attack inevitably succeeds.
The discussion mirrors a broader industry shift toward cyber resilience, in which the ability not only to withstand cyberattacks but also to restore business operations with minimal disruption is now crucial.
Clean data becomes central to ransomware response
DiMartinis believes many organizations have invested heavily in prevention technologies while giving comparatively little attention to recovery planning.
Unlike disaster recovery or conventional backup restoration, cyber recovery requires organizations to determine which systems were compromised, identify the last trusted copy of data, and restore business-critical applications without reintroducing malware into production environments.
That process becomes substantially more difficult when ransomware spreads rapidly across interconnected infrastructure.
“The ability to recover clean, trusted data is… the most important facet in a recovery,” DiMartinis said. “If you can’t point to the last clean copy of data… you’re probably looking at lengthy recovery periods, which most businesses can’t afford.”
Rather than assuming existing disaster recovery plans are sufficient, he recommends organizations regularly validate recovery procedures against modern ransomware scenarios, including application dependencies and infrastructure interconnections that may not have been considered when plans were originally developed.
MSPs can lead customer resilience planning
For MSPs and MSSPs, the stakes are particularly high. Partners are increasingly expected to protect dozens or even hundreds of customer environments simultaneously, meaning a single ransomware incident can have cascading effects across multiple organizations.
As a result, customers are looking beyond endpoint protection and backup products alone, asking partners to validate recovery plans, identify clean recovery points, and help develop broader cyber resilience strategies that minimize downtime after an attack.
DiMartinis recommends partners begin by helping customers answer several foundational questions:
- Who owns cyber recovery within the organization?
- Which applications and data sets are most critical to restore first?
- What recovery time objectives (RTOs) and recovery point objectives (RPOs) are acceptable?
- Have recovery plans actually been tested against a real ransomware scenario?
Many organizations believe they are prepared, DiMartinis said, only to discover during an incident that application dependencies or infrastructure complexities prevent rapid recovery.
Automation may accelerate future recovery efforts
Looking ahead, DiMartinis expects AI to eventually play an equally important role in recovery as it currently does in attacks.
He envisions infrastructure vendors, security providers, and channel partners collaborating to automate portions of cyber recovery, reducing manual testing and accelerating restoration after an incident. While the ecosystem is still evolving, he believes automation will become increasingly necessary as attack velocity continues to increase.
Until then, he argues organizations should focus on a simpler principle: ensuring they can reliably identify and recover from a verified clean copy of their data.
“You can have all the prevention in the world,” DiMartinis said. “But if you don’t have a methodology for getting back to a clean point in time from a data perspective, you’re at risk.”