Case Studies &
Settlement Data
These are real breaches. Real settlements. Real consequences. And here’s what’s terrifying: NONE of these involved AI-powered attacks. They were all human-speed, human-error exploits. Now imagine what happens when the attacks are automated, adaptive, and relentless.
AT&T Data Breaches
Settlement: $177 MILLION
What Happened: Two separate data breaches in March and July 2024 exposed the personal information of millions of AT&T customers — including names, addresses, Social Security numbers, and call records.
Cencora Data Breach
Settlement: $40 MILLION
What Happened: In February 2024, sensitive consumer information was compromised including Social Security numbers, health data, insurance information, and financial records.
Lehigh Valley Health Network
Settlement: 65 MILLION
What Happened: A ransomware attack compromised addresses, email addresses, dates of birth, Social Security numbers, medical information, and — disturbingly — nude photos of patients.
Medibank (Australia)
Estimated Exposure: Tens of Millions in Fines, Ongoi……
What Happened: Two separate data breaches in March and July 2024 exposed the personal information of millions of AT&T customers — including names, addresses, Social Security numbers, and call records.
The Pattern You Can't Ignore
Look at these cases. What do they have in common?
- Large organizations with dedicated security resources
- Attacked using known, preventable vulnerabilities
- Faced massive settlements based on ‘negligence’ claims
- Could not prove adequate due diligence
Now consider: These attacks happened WITHOUT AI assistance.
The breach cost for SMBs has reached $120,000+ on average. And that’s before AI-powered attacks became mainstream. We’re now seeing:
- AI-generated malware that rewrites itself to evade detection
- Automated vulnerability scanning at 36,000 sites per second
- OCR-equipped stealers that photograph your screen and extract wallet seed phrases
- Deepfake voice calls impersonating executives to authorize transfers
43% of cyberattacks now target small businesses. Not because they have valuable data — but because they’re easy targets.
