By analyzing and learning from actionable machine and human intelligence, email security solutions can improve their ability to predict, detect and respond to email threats in real time.
Email incident response has evolved from manual investigation and response to automatic, AI & machine learning-driven investigation and response.
Predictive technology is helping some security companies, like IRONSCALES, move beyond reactive (detection) to introduce proactive (prediction) innovations that are transcending the industry’s history of choosing to respond rather than to anticipate.
Automation is the latest trend in email security, but how can you tell a solution is truly automated?
When it comes to preventing email phishing attacks, it’s a race against time. Using our data, Aberdeen published a new report on simulated phishing attacks.
Fostering channel partnerships with reputable value-added resellers (VARs) has become an important component of most cybersecurity companies go-to-market strategies.
Artificial intelligence is something we continue to see discussed- Elon Musk believes it will be the downfall of humanity, many are concerned its implementation could leave thousands out of jobs, and some even see it as something straight out of a sci-fi movie.
Fifty five percent of respondents told us that the time to detect phishing messages is the greatest challenge facing the SOC/Security team in relation to addressing emerging email threats. Performing email forensics on messages received also ranked high with 24% identifying this as the greatest threat they faced while 18% felt it was removing malicious messages from mailboxes where the danger lay.
Email security has evolved from rules-based spam filters into advanced anti phishing threat protection platforms that combine human intelligence with machine learning.
The five ways in which the IRONSCALES platform helps save SOC teams time includes orchestration, intelligence sharing, incident response, mailbox scanning and two-click deployment.
