AI is accelerating the attack lifecycle and changing breach economics, notes Limor Kessem, global lead, X-Force cyber crisis management at IBM, in a blog post about the report.
“Looking at the changes from last year’s report, AI-driven attacks increased by 56%, adding an average of $1 million per breach, as attackers use AI tools to increase speed, scale, and precision. This is not simply an evolution in attacker tooling; it is a structural shift,” Kessem wrote. “When adversaries can automate reconnaissance, generate persuasive phishing content, adapt malware and test exploits at machine speed, the cost and complexity of launching sophisticated attacks drops materially. Breaches become faster, broader and more expensive.”
“When attack velocity increases, the enterprise has less time to detect, validate and contain an incident. That compressed response window directly drives higher losses, whether through operational disruption, data exposure, legal costs, customer remediation or reputational damage,” Kessem continued. “From the report’s findings, two cost categories, detection and escalation alongside lost business, made up the majority (63%) of costs in the data breaches studied.”
