As attackers continue to evolve their tactics, Palo Alto Networks has evolved its machine learning capabilities with the introduction of inline deep learning. While signature-based detection is still critical to preventing known threats, addressing these newer, more sophisticated techniques requires an innovative approach.
“Requirements for Preventing Evasive Threats,” a new white paper by leading security analyst ESG, offers valuable insights that address these key concerns.
In it, you’ll learn how these capabilities:
Access ESG’s insights on why it’s time for organizations to consider alternatives from signature-based detection and explore inline deep learning to deliver advanced protection against evasive threats.