Agari Phishing Defense: Machine Learning Models
Traditional email security products struggle to detect email impersonation threats such as BEC and targeted phishing campaigns. These threats consistently bypass defenses that rely on signatures and policies like Secure Email Gateways and native-cloud email filters. This guide breaks down how Fortra’s Agari uses advanced data science, including machine learning models, to find and mitigate attacks that slip past traditional email defenses.
Readers of this whitepaper will learn:
How threat actors exploit common email components to fool email defenses and users
Practical email security applications of ML without the hype
How neural networks and large language models (LLMs) can spot social engineering attempts
How Agari uses advanced data science to keep malicious emails out of user inboxes