RiskSense CEO to Present New Approach for Assessing Industrial Threats at the 2018 ICS Cyber Security Conference USA

Dr. Srinivas Mukkamala will Explain how AI can be Used to Correlate Operational Technology Vulnerabilities with Active Threats to Prioritize Remediation

SUNNYVALE, Calif.--()--RiskSense®, Inc., pioneering risk-based vulnerability prioritization and management, today announced that its CEO, Srinivas Mukkamala, Ph.D. will present a session on using an artificial intelligence-based approach for assessing cyber risk in industrial environments at the SecurityWeek 2018 ICS Cyber Security Conference USA in Atlanta, Georgia.

       

WHO:

Dr. Srinivas Mukkamala, co-founder and CEO of RiskSense, is a recognized expert on artificial intelligence (AI) and neural networks. He was part of a think tank that collaborated with the U.S. Department of Defense and U.S. Intelligence Community on applying these concepts to cybersecurity problems. Dr. Mukkamala 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.
 

WHAT:

Industrial environments are increasingly being connected to IT systems to optimize management, yet operational technology (OT) networks lack even basic security controls. In this session, “Assessing Device-based Risk to Secure ICS Environments,” Dr. Mukkamala will explain why conventional vulnerability management and mitigation techniques are unable to address unique OT security challenges. He will present a new approach which uses human-assisted AI and machine learning to assess device-level risk and vulnerabilities against potential exploit paths to dynamically analyze threats and even predict cyber attacks. Dr. Mukkamala will demonstrate how this model can prioritize remediation efforts to protect critical industrial infrastructures against cyber threats.

 

WHEN:

Wednesday, October 24, 2018, 9:45-10:30 AM EDT
 

WHERE:

SecurityWeek’s 2018 ICS Cyber Security Conference USA, InterContinental Buckhead Atlanta, 3315 Peachtree Rd NE, Atlanta, Georgia 30326
 

HOW:

To schedule a conversation with Dr. Mukkamala, contact Marc Gendron at marc@mgpr.net or +1 781.237.0341. For more information, visit: https://agenda.icscybersecurityconference.com/event/Fzwu/assessing-device-based-risk-to-secure-ics-environments.

 

Resources

Case Study: El Paso Electric: https://risksense.com/wp-content/uploads/2018/05/CS_El-Paso-Electric.pdf
RiskSense Platform Overview: https://risksense.com/products/the-risksense-platform/

About the SecurityWeek 2018 ICS Cyber Security Conference USA

Since 2002, the ICS Cyber Security Conference has gathered ICS cyber security stakeholders across various industries and attracts operations and control engineers, IT, government, vendors and academics.

Over the years, the focus of the conference has shifted from raising awareness towards sharing security event histories and discussing solutions and protection strategies. The event caters to the energy, utility, chemical, transportation, manufacturing, and other industrial and critical infrastructure organizations. For more information, visit https://www.icscybersecurityconference.com/.

About RiskSense

RiskSense®, Inc. provides vulnerability prioritization and management to measure and control cybersecurity risk. The cloud-based RiskSense platform uses a foundation of risk-based scoring, analytics, and technology-accelerated pen testing to identify critical security weaknesses with corresponding remediation action plans, dramatically improving security and IT team efficiency and effectiveness. For more information, visit www.risksense.com or follow us on Twitter at @RiskSense.

Contacts

RiskSense
Marc Gendron, +1 781-237-0341
marc@mgpr.net
or
media.relations@risksense.com

Release Summary

New model uses human-assisted AI to assess risk and vulnerabilities, and even predict cyber attacks.

Contacts

RiskSense
Marc Gendron, +1 781-237-0341
marc@mgpr.net
or
media.relations@risksense.com