Symantec announced that its threat detection technology used by its own research teams to uncover cyber-attacks is available to its Advanced Threat Protection (ATP) customers.
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Symantec Targeted Attack Analytics (TAA) technology enables ATP customers to leverage advanced machine learning to automate the discovery of targeted attacks.
TAA is the result of an internal joint-effort between Symantec’s Attack Investigation Team, responsible for uncovering Stuxnet, Regin, Lazarus as well as links to SWIFT and WannaCry attacks among others, and a team of Symantec’s top security data scientists on machine learning research.
“Targeted Attack Analytics uses advanced analytics and machine learning to help shorten the time to discovery on the most targeted and dangerous attacks and to help keep customers and their data safe,” Greg Clark, CEO of Symantec, said.
TAA technology implements machine learning to analyze data, including system and network telemetry from Symantec’s customer base.
Symantec’s cloud-based approach to this technology enables the re-training and updating of analytics to adapt to new attack methods without the need for product updates.
Symantec cyber security professionals used Symantec TAA technology to uncover Dragonfly 2.0 attacks that targeted dozens of energy companies in an effort to gain access to operational networks.
Since its internal inception, Symantec TAA has detected security incidents at more than 1,400 organizations.
“We’ve had the telemetry and data necessary to uncover the warning signs of dangerous targeted attacks but the industry has lacked the technology to analyze and code the data quickly,” said Eric Chien, Technical Director of Symantec Security and Response and Symantec Fellow.
