Cofense announced the release of new AI-driven spam reduction
capabilities to its
Phishing Detection and Response (PDR) platform.
These enhancements reduce workload so SOC analysts can concentrate on
genuine threats that could quickly harm an organization's revenue or
reputation.
"As phishing attacks continue to evolve, security teams demand tools
that improve efficiency but also give them an edge in identifying and
responding to threats," said Jason Reinard, Senior Vice President of
Product Engineering. "With these new AI features, Cofense is making it
easier for analysts to cut through the noise, focus on what matters, and
act faster when it counts."
Cofense has been testing and validating AI models in email phishing
scenarios for nearly four years. These AI enabled updates to the Cofense
PDR platform have been designed to reduce SOC workload and
significantly improve the highlighting of today's most dangerous
email-based phishing attacks.
"Cofense customers represent some of the most sophisticated
organizations in the world. The bar we have is set very high, and this
AI-based addition to our solution represents a major leap in our
forward-looking technology," concludes Reinard.
AI-Powered Spam Filter
Designed to reduce SOC analyst spam overhead by 30% or more in this
first iteration, this new feature of our PDR solution leverages Bayesian
Machine Learning (ML) to orchestrate the customization of the AI spam
filter. The process "learns" your SOC's unique environment, identifying
and automatically filtering out spam that previously inundated analysts'
inboxes. Each Cofense customer benefits from true local learning to
their unique environment.
Notably, and unlike many other AI-driven products, the Cofense PDR AI
Spam Filter ensures complete data privacy by keeping emails local and
never requiring exportation to external cloud data lakes. This helps
with compliance attestations and supports best-practice security
methods.