The average cost of a data breach for US organizations reached a record $10.22 million, according to figures from the IBM Cost of a Data Breach research. The US total stood in sharp contrast to the global average, which fell to $4.44 million, a 9 percent decline from $4.88 million in the prior measurement.
Artificial intelligence played a measurable role in the cost figures, cutting both ways. Organizations that used AI and automation extensively in security paid an average of $3.62 million per breach, while those without such tools paid $5.52 million. The gap meant that extensive users of security AI saved roughly $1.9 million per breach and detected incidents about 80 days faster than peers.
Detection and containment timelines improved overall. The average breach lifecycle dropped to 241 days, split into 181 days to detect and 60 days to contain, the shortest span in nine years of the data series.
Industry differences remained wide. Healthcare led all sectors for the fifteenth consecutive year, with an average breach cost of $11.2 million, reflecting the sensitivity of medical records and the regulatory exposure tied to them.
The data captures a period in which AI functions as both a defensive tool and a new source of risk. While security teams increasingly rely on AI to detect and contain breaches faster, the growth of AI-driven applications has expanded the volume of data that can be exposed when controls fail.
Source: IBM Cost of a Data Breach - https://databreachcost.com/