AI is making cyberattacks cheaper to launch and far more expensive to clean up

A new report from IBM puts a number on something a lot of businesses have been feeling but couldn't quite quantify: AI-powered cyberattacks are now the most expensive kind to recover from.

What actually happened

IBM's 2026 Cost of a Data Breach Report found that AI-driven attacks now cost businesses an average of $6 million per breach - about $1 million more than the overall average cost of a data breach. AI-enabled attacks have also grown sharply: one in four malicious breaches now involves AI in some form, a 56% jump from the year before. Most of these attacks rely on deepfake impersonation (someone posing convincingly as an executive, a vendor, or a customer) and AI-generated malware that can slip past defenses built for older, more predictable threats.

The pattern shows up locally too. INTERPOL's African Cyberthreat Assessment reported that financial losses from cybercrime across the continent more than doubled in a year, and that AI now plays a role in over half of reported cybercrime cases in Africa. The story isn't unique to big global corporations - it's showing up everywhere criminals can reach.

There's a useful counterpoint in the same report: businesses that had already built AI into their own security operations cut their breach costs by close to $2 million on average. The gap isn't between "using AI" and "not using AI" - it's between companies that got ahead of it and companies that didn't.

What this means for you

If your business handles customer payments, personal data, or anything sensitive, this is worth taking seriously even at a small scale - attackers don't only go after big companies, they go after whoever's easiest to fool. The practical takeaway isn't "panic about AI hackers." It's simpler: make sure the basics are actually in place - who has access to what, how logins are verified, whether a phone call or a message claiming to be from "the boss" gets double-checked before money moves. Those basics matter more than ever now that impersonation is easier to fake convincingly.

If you're building or adopting automation in your own business, this is also exactly why scoping and guardrails matter - giving a system only the access it needs, and nothing more, is what keeps automation an asset instead of a new way in for someone else.