Enterprises can't keep a lid on surging cyber incident costs

""CISOs, like their peers in lines of business, know they need to augment their teams with AI and automation, but finding security products and services that deliver actual value is hard amidst all the hype and empty marketing," said Brian Beyer, co-founder of Red Canary. "They need to go all in on expert-supervised AI agents that support security analysts in threat detection, investigation, and response, with the focus on proven solutions powered by LLMs trained"

"The attack surface has widened by 41% in the past 12 months, while 73% of security leaders say the time from detecting an attack to resolution has increased. Meanwhile, organizations are hampered by a lack of skills, with 75% saying they have skills shortages around intrusion detection and 72% around incident response. Security operations center (SOC) teams are struggling with the challenges of securing cloud environments, identities, and AI technologies amid evolving threats, amplifying the risk and business impact of cyber attacks."

"As a result, Red Canary said enterprises are turning to AI, with the top use cases in security operations today being detection analytics at 65%, intrusion detection at 59%, and SIEM management at 54%. However, 75% of security leaders said they worry that while AI helps security teams work faster, it could ultimately reduce their ability to solve problems independently."

Cybersecurity incidents cost organizations an average of £2.7 million over the past year, and security leaders estimate an average cost of $3.7 million. Eighty percent of security leaders are increasing security spending while breaches and threats continue to grow. The attack surface widened by 41% and 73% report longer detection-to-resolution times. Seventy-five percent report intrusion-detection skill shortages and 72% report incident-response shortages. SOC teams face challenges securing cloud environments, identities, and AI technologies, increasing business risk and outages; 46% experienced service outages or disruptions. Enterprises are adopting AI for detection analytics (65%), intrusion detection (59%), and SIEM management (54%), though 75% worry AI could reduce analysts' independent problem-solving.

Read at IT Pro