The Internet is not safe
Why is cybersecurity
failing against AI?
Cybercrime losses reported to the FBI up 26% since last year
$20.9B
2025
$1B
2015
Cybercriminals love AI even more than companies do
AI now allows unsophisticated criminals to craft flawless phishing campaigns and malicious code. Advanced threat actors now automate hyper-personalized attacks at unprecedented speeds.
4.5x
ROI for AI fraud vs. traditional cybercrime
Existing threat detection can't detect all threats
Attackers blend their malicious actions into normal behavior and content, and threat detection is faced with a false positive / false negative dilemma, where it can never prevent all threats without damaging business processes.
90%
of organizational security incidents bypass threat detection through phishing
Online scammers steal $500B every year— The Economist
Deepfake detection doesn't really work
Deepfake and AI content detection rarely offers conclusive results, and is trapped in an unwinnable arms race because even legitimate content is often AI-generated or AI-modified to some extent.
30%
of deepfakes are not detected by deepfake detection tools
Security training doesn't work at all
Research shows that phishing training does not work. This is because the average distracted, exhausted, or non-technical user is not constantly thinking about how to detect advanced social engineering. Furthermore, it cannot work, because the most emotionally manipulative and threatening scams can never be simulated in training scenarios.
We find that the absolute difference in failure rates between trained and untrained users is extremely low across a variety of training content.