Behavior Based Security Analytics
Take Control of Cyber Hazards with Model-Driven Security
GURUCUL RISK ANALYTICS
Automate Front Line Security Controls with Machine Learning Models and Risk Scoring
Super Bowl LII: Protecting Players’ and VIP Data
Tom Brady lost the game but not his data
William Scandrett, CISO, Allina Health
Automate Security Controls Using Machine Learning
Drive Front Line Security Controls with UEBA & Identity Analytics
Kurt Lieber, CISO, Aetna
How Gurucul Risk Analytics Works
User/Entity and Device Context Across Silos
Open Choice of Big Data
Machine Learning Behavior Analytics
Risk Scoring Data Science
Real-Time Analytics
Data Protection for Borderless Perimeter
Context, Risk Aware Automated Remediation
Risk Prioritized Alerts User/Entity Risk Score & Reputation
– Key Business Benefits –
Predict and detect unknown threats
Act on risk prioritized contextual alerts
Automate responses with model driven security
Reduce false positives significantly
Deliver true positives
Provide cyber context and intelligence to eliminate cyber fraud
Meet compliance requirements across a multitude of mandates
Why Gurucul?
“Hands down the most sophisticated
example of behavior analytics…”
– SC Magazine
BOARD OF ADVISORS
Gary Eppinger
Global VP, Chief Information Security and Privacy Officer, Carnival Corporation
Gary B. Harbison
Chief Information Security Officer, Monsanto
Jason Clark
Investor, CISO Advisor, and Board Director
Jerry Archer
Chief Security Officer, Major Financial Services Company
Joe Sullivan
Chief Security Officer at Cloudflare, Inc.
Renee Guttmann-Stark
Chief Information Security Officer, Campbell Soup Company
Robert D. Rodriguez
Chairman and Founder, Security Innovation Network (SINET)
Teri Takai
Senior Advisor, Center for Digital Government