Data breach notices are on pace to smash last year’s record, and artificial intelligence is the biggest reason why. I’ve been tracking cyber trends for decades, and the acceleration we’re seeing right now is different.
The Identity Theft Resource Center reported 1,803 data compromises in the first half of 2026. If the second half continues at this rate, the full-year total will exceed the 3,321 incidents reported for all of 2025. More than 471 million victim notices were issued, with the Canvas education tool breach alone accounting for 275 million of those.
AI Is Now the Attack Engine
This isn’t just a numbers story. IBM’s 2026 Cost of a Data Breach report found that one in four breaches between March 2025 and February 2026 was AI-enabled, up 56% from the previous year. The global average cost of a breach reached $4.99 million. That’s not inflation talking. That’s AI doing the heavy lifting for attackers.
The attack pattern has shifted. Hackers used to rely heavily on phishing emails and stolen passwords. Now they’re using AI to discover software vulnerabilities faster than defenders can patch them. Nearly a third of all breaches now start with software flaws, overtaking stolen credentials as the top entry point, according to Verizon’s 2026 Data Breach Investigations Report. Generative AI can scan millions of lines of code, identify weak spots, and write matching malware in hours. What used to take a skilled operator weeks now happens over a weekend.
CrowdStrike reported that AI-enabled attacks increased 89% year-on-year in 2025. The technology is lowering the skill floor for less sophisticated operators while giving advanced threat actors new capabilities. We’re seeing both script kiddies and nation-state groups using the same tools.
The Insider Threat Just Got Worse
Insider threats are spiking too. The ITRC recorded 21 malicious insider incidents in the first six months of 2026, compared to just three for all of 2025. Some of that involves disgruntled laid-off workers stealing data on their way out. But the bigger concern is organised. North Korean state actors are placing remote IT workers in US companies using deepfake video interviews and AI-generated resumes. The FBI has flagged this as a significant structural threat. These aren’t random hacks. This is a sustained campaign.
What’s particularly worrying is how little companies tell victims. Only 24% of breach notifications in the first half of 2026 included details about what happened. In 2021, that figure was 93%. Companies have learned to say as little as possible to avoid lawsuits, leaving you in the dark about whether your data was actually protected.
What You Can Actually Do
The basics haven’t changed, but most people still ignore them. Pull your free credit reports at AnnualCreditReport.com as often as once a week. Look for accounts you didn’t open. Consider placing a credit freeze with all three major bureaus. That’s the closest thing to Fort Knox for your credit profile. Yes, it’s annoying to thaw when you actually want to apply for finance, but it blocks the majority of fraudulent account openings.
For businesses, the message is sharper. IBM found that organisations deploying AI and automation across prevention and response reduce breach costs by an average of $2.2 million. Yet most companies are still underinvesting in prevention while overinvesting in breach response. That’s backwards. You wouldn’t wait for a house fire before buying smoke detectors.
The uncomfortable reality is that AI has made bad actors faster and more effective while defenders are scrambling to catch up. Until companies treat prevention as seriously as they treat incident response, your personal data remains the commodity.
AI has collapsed the time between vulnerability and exploitation. Defenders now have hours, not months. That shift should change every security budget conversation.
James Lee, President, Identity Theft Resource Center
Related Reading
- Software Flaws Are Now the #1 Breach Cause, and AI Is Making It Worse
- IBM Report: AI-Generated Breaches Now Cost $5.72 Million
- The AI Sandbox Myth: Why Your Security Tests Are Leaking
The views expressed on this site are my own and do not represent those of any current or former employer. Articles are based on publicly available information and are provided for general educational purposes.
