Bad actors leverage the vast data collected on employees to feed AI tools capable of identifying weaknesses and pinpointing attacks. Disconnect blocks the data collection that feeds these attacks.
Attackers now easily access powerful AI-technology capable of individually hyper-targeting attacks on virtually anyone.
Enter name, email, photo, IP address, device identifier, ad identifier, address, phone number, etc.
I overheard the guy in this photo I took in Chicago today talking about a project he's working on. What's this guy's name? What other data do we have about him?
Here is the requested information found on the web and in the scorpio dataset about Robert Kahana CTO of Company X:
Profile ID
474-259-1011
Images
• Google images ↗
Emails, phone numbers, home address
• r.kahana@example.com, rkahana@gmail.com, robertk@hotmail.com
• Mobile +1 847 555 5555, Work +1 312 555 5555
• 25 Oak Street, Evanston, IL 60201
Employment
• LinkedIn: Robert Kahana, CTO Company X ↗
Follow-up attack prompt:
Now recreate Robert Kahana's daily routine, identify off-hours, unusual patterns, detect frequently visited locations, identify habits, preferred routes, work hours, travel schedules, anomalies that might indicate personal stress, burnout, infidelity, health or financial issues, any other information useful for social engineering. Also provide any passwords leaked or found on the dark web...
AI tools enable attackers to correlate tracker data with real identities and identify vulnerabilities.
Every tap, click, and movement: trackers silently build profiles that attackers weaponize.
Hidden pixels in emails link your employees' identities to their IP addresses and browsing behavior.
Third-party scripts record every click, scroll, and keystroke — building detailed behavioral profiles.
Mobile SDKs leak location, contacts, and usage patterns to advertising networks and data brokers.
Anonymous tracking data is easily correlated with real identities, employers, and vulnerabilities.
Attackers leverage AI to analyze tracker data and identify employee vulnerabilities for precision attacks.
Bad actors use AI tools to analyze tracker data from all over the internet and real life to build detailed profiles and identify employee vulnerabilities for targeted attacks.
Thousands of data brokers collect and sell employee location data, browsing history, purchase behavior, and personal information to anyone willing to pay—including attackers.
178 trillion times per year, real-time bidding exposes employee IP addresses, locations, and browsing behavior to advertising networks that attackers exploit.
"Real Time Bidding (RTB) data is the biggest data breach ever recorded. It tracks and shares what people view online and their real-world location with countless companies. This happens 178 trillion times every year in U.S. and Europe."
— Irish Council for Civil Liberties
Security vendors have a blind spot: tracking of employees' sensitive personal data leads directly to breaches. We block the start of the attack chain, depriving AI of data.
Prevent tracker data collection that feeds AI-powered targeting systems used by attackers.
Protection across websites, mobile apps, and email—everywhere employees' digital footprints are tracked and exploited.
Powers protection for 350+ million users through on-by-default integrations with Edge, Firefox, and other major platforms.
Superior technology analyzing trillions of connections yearly across 10+ million websites and 18+ million app versions.
Hundreds of millions of users protected, better intelligence, best solution.
Protect your workforce from hyper-targeted threats. Block the tracker data that feeds attacker AI systems.
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