Human Intelligence at Machine Scale
SparkSecure® adds a cognitive layer to traditional security solutions, increasing the operational efficiency and knowledge retention of your incident response and security analyst teams. Essentially, SparkSecure® does much of what a human security analyst can do, but at machine speed and Big Data scale.
Identify New Attacks Automatically
With over 45,000 zero-day attacks occurring every day, solutions that rely solely on signature matching are behind the times. A threat that is brand new has no known signature, so it can’t be caught by systems that simply look for signatures. SparkSecure® does more.
SIEM systems – even those with rudimentary machine learning capabilities – still require the security analyst to do a lot of work in formulating the right queries, on the right data. But human security analysts simply can’t research all threats, determine their validity and priority, and plot remediation steps. The number of false positives and SIEM tickets associated with these alerts can be overwhelming. With its sophisticated Natural Language Processing (NLP) and automated research capabilities, SparkSecure® can help.
Identifies unknown, zero day attacks including insider threats
Minimizes human errors with accurate and trustworthy information
Delivers consistent & accurate remediation answers that can be applied consistently throughout the environment
Reduce costs associated with security teams
Reduces time to close a SIEM ticket through automated research
Minimizes the number of tickets to close/research
Scales security admins research capabilities via in-context advice
Improves knowledge retention
Watson trained on “tribal” knowledge reduces impact of attrition
Improves operational efficiencies via predictive analytics
Helps with capacity planning by anticipating security related volumes
Free up capacity currently used to serve unwarranted traffic / scan requests