Cogitai 'Self-Learning' AI Platform Requires Less Training
Today’s topics include Cogitai releasing its “self-learning” Continua platform for businesses, and Attivo Networks expanding its ThreatDefend cyber-security deception platform with forensic collection technology.
Cogitai has released Continua, a software-as-a-service artificial intelligence platform that may offer a new opportunity for businesses to create self-learning AI systems that require far less training and human involvement than current systems do.
Mark Ring, CEO of Cogitai, told eWEEK that most commercial AI applications today involve supervised learning where there is a human required to label a data set and the algorithm finds patterns in the data. But AI applications today are also limited because they don’t have the ability to make decisions and process what happens as a result of those decisions in a sophisticated way.
Cogitai is focused on the “second generation of AI” where AI can make decisions on its own based on a reinforcement learning. The Continua platform is now available for licensing, including a free, 60-day trial, and Cogitai said it’s already in use by a handful of large companies developing new AI-driven applications.
Attivo Networks announced on Feb. 12 that it is expanding its ThreatDefend cyber-security deception platform with its new "The Informer" forensic collection technology. Deception is a class of cyber-security technology that aims to trick attackers with fake services as an approach to limit risk and expose adversaries.
With its ThreatDefend Platform, Attivo provides deception-based detection for the entire network. The new Informer forensics capability collects data on potential attackers that have fallen for the deception, in an attempt to help organizations better defend and respond to attacks.
According to Carolyn Crandall, chief deception officer at Attivo, "Data from detection alerts and known threat intelligence providers are aggregated into a single dashboard making the responder’s job exponentially more efficient with the goal of driving response time from hours down to minutes."