IBM's newly released 2026 Cost of a Data Breach Report confirms what security experts have suspected for a while: AI risk is intensifying, and the worst of its impact is still ahead.
As AI reshapes how breaches happen and their cost, the security postures that worked yesterday won't hold up tomorrow. Organizations that adapt now, building the visibility and controls the AI era demands, will stay ahead of what's coming.
Those that wait will fall further behind.
The evolving threat landscape
This year's Cost of a Data Breach Report is based on 3,558 interviews with security and C-suite leaders across 602 breached organizations, spanning 17 industries and 16 countries.
The findings show AI risk rising on two fronts:
- It's powering attackers' ability to scale the volume and speed of their attacks
- It's opening up an entirely new attack surface of its own
AI-powered attacks
AI-powered attacks now account for a quarter of all malicious breaches, a 56% year-over-year increase. This major increase marks an inflection point that should reset how every security leader thinks about risk.
Attackers are largely using AI to sharpen social engineering enough to slip past identity verification as a first point of access. Some of the most common trends include:
And that shift is expensive: AI-powered attacks add an average of USD 1 million to the cost of a breach compared to non-AI attacks, reason enough for security budgets to stop treating this as a future problem.
The new AI attack surface
The second front is arguably more dangerous, because it's the one most organizations don't even know they're fighting.
As organizations adopt AI tools, browsers, and apps at a rapid pace, each one becomes a new attack opportunity and adversaries are seizing them faster than most security teams realize.
Attacks targeting AI tools within organizations jumped 61% year-over-year, now accounting for 21% of all AI-related breaches. Of those breaches:
What's more telling is what's missing: 68% of the impacted organizations had no AI governance plan in place. It's the predictable result of moving fast on innovation at the expense of security. You can't govern what you don't know is running in your environment and, right now, most organizations don't.
Closing the security gap
IBM's 2026 report highlights a clear shift unfolding across the cybersecurity industry: AI is lowering the barrier to entry for cybercrime, and attacks are coming faster and more frequently as a result. The cost of delay is now measured in minutes, not months.
The shift makes speed essential to defense in two distinct ways:
- First, organizations need to detect and contain threats quickly, before they escalate into major damage or disruption.
- Second, they need to identify and resolve vulnerabilities before attackers can exploit them, effectively shifting from reactive cybersecurity to a proactive posture. For organizations that have relied on the former, that shift alone is a massive undertaking.
And while velocity has become a security requirement, it doesn't replace the fundamentals. This shift outlined in IBM's report deepens longstanding cybersecurity challenges organizations faced before the rise of AI, and will continue to face thereafter:
- Visibility gaps in tools and attack surfaces, like AI itself, give attackers blind spots to operate in.
- Alert fatigue buries legitimate threats and lets attacks go unnoticed.
- Staffing shortages leave teams stuck in reactive cycles, or without 24/7 coverage when they need it most.
- Limited budgets keep teams from investing in the people and tools they need to stay ahead.
IBM's report also found breached organizations responding: 85% plan to increase security investment in areas like headcount, threat detection and response tools, vulnerability management, and AI security governance. For lean IT teams and MSPs, though, much of that investment remains out of reach.
That's the gap Field Effect was built to close.
MDR built for the AI era
MSPs and lean IT teams may not have the budgets or in-house expertise of their enterprise counterparts, but they deserve the same level of protection. That's why we streamlined more than 25 tools and services into one platform, giving teams what they need to prevent, detect, and respond to automated and agentic threats.
From day one, we've been engineered to outpace those threats. Field Effect combines AI with analyst intelligence to detect and respond in real time, blocking threats in as little as milliseconds and alerting on them in 18 seconds.
Our approach embeds real intelligence tradecraft and best practices, not just automation, to:
- Unlock full visibility across the environment
- Identify and prioritize every risk before it becomes an incident
- Rapidly detect, and wherever possible block, threats in real time
- Back every alert with full investigation and support
- Streamline recovery so operations get back to normal fast
This approach keeps clients ahead of AI-powered threats at any volume, and now extends that same protection to the AI attack surface itself.
Protecting the new AI attack surface
Field Effect's AI Detection and Response (AIDR) gives organizations much-needed visibility and control over the AI tools already running in their environment.
The scale of that AI blind spot is bigger than most security leaders assume. Field Effect's own customer data shows 93% of organizations have either knowingly or unknowingly adopted AI, while 26% are actively using six or more AI applications.
Compounding the problem, 59% of employees report adopting AI tools without IT or security oversight, meaning most of that adoption is happening in the dark, outside any governance framework at all.
That's the gap AIDR is built to close. It answers the essential questions organizations can't currently answer on their own:
AIDR is built natively into Field Effect MDR Complete, making it the only AI security capability delivered as part of a fully integrated MDR platform, rather than bolted on as a separate tool. The same platform already securing your endpoints, network, and identities now extends that same visibility and control to AI.
Focusing on what matters
The 2026 Cost of a Data Breach Report is a warning: organizations that can't close the gap between AI risk and AI readiness will keep paying more, for longer, with less warning. Closing that gap doesn't require building a 24/7 SOC from scratch, all organizations need is the right partner.
Field Effect MDR gives organizations full visibility, faster detection, and machine-speed response without the cost or headcount of building it alone. The result is fewer blind spots, lower breach costs, and a proactive defense that stays ahead of attackers instead of chasing them.
