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Dr. Srinivas Mukkamala will Join Expert Panel to Discuss the Use of Human-Interactive Machine Learning for Managing Cyber Risk

Sunnyvale, Calif. & Albuquerque, N.M. – November 15, 2016 – RiskSense®, Inc., the pioneer and market leader in pro-active cyber risk management, today announced that CEO Dr. Srinivas Mukkamala will join an expert panel at the upcoming Jeffries Group Artificial Intelligence Investor Conference. Dr. Mukkamala will discuss how human-interactive machine learning and analytics can be used to monitor for, detect, and respond to security threats, and manage cyber risk.

Dr. Srinivas Mukkamala, Co-founder and CEO, RiskSense
Dr. Mukkamala was part of a think tank that collaborated with the U.S. Department of Defense and U.S. Intelligence Community on cyber security best practices. He is an expert on malware analytics, breach exposure management, Web application security, and enterprise risk reduction. He was also a lead researcher for CACTUS (Computational Analysis of Cyber Terrorism against the U.S.) and holds a patent on Intelligent Agents for Distributed Intrusion Detection System and Method of Practicing.

Other panelist: Gregory Conti, Director of Information Security, IronNet Cybersecurity
Moderator: Patrick Finn, Principal, Finn Advisors
Jeffries 2016 Artificial Intelligence Summit

Thursday, November 17, 2016 from 12:15 PM – 1:00 PM EST

Boston Harbor Hotel, 70 Rowes Wharf, Boston, MA 02110

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RiskSense®, Inc. provides vulnerability management and remediation prioritization to measure and control cybersecurity risk. The cloud-based RiskSense platform delivers Risk-Based Vulnerability Management, Application Security Orchestration and Correlation, in addition to our Vulnerability Knowledge Base.These products bring insight to the wide views of vulnerability risk with adversarial threat-context and ties to ransomware. With Vulnerability Risk Rating, threat analytics, and automated playbooks prioritize actions for critical security weaknesses dramatically improving security and IT efficiency and effectiveness of managing attack surface risk.

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