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John Muir Health Selects TrapX Security–s DeceptionGrid to Better Fortify Its Network Defenses

SAN MATEO, CA — (Marketwired) — 03/01/16 — , a global leader in advanced , today announced that , a leader in healthcare in the San Francisco Bay Area, has selected TrapX DeceptionGrid to better fortify its network defenses.

“The threat landscape for healthcare providers has changed dramatically in the past 24 months,” said Tom August, chief information security officer for John Muir Health. “When we read TrapX–s report, which identified how hackers had penetrated a number of hospitals through compromised medical devices and were exfiltrating hospital data to other countries, we took a critical look at a number of new solutions and liked what TrapX had to offer.”

Tom selected TrapX because in addition to computer workstations, servers and switches, DeceptionGrid emulates common medical devices such as blood gas analyzers, portable X-ray machines and MRI systems that have previously been targeted by attackers.

“The TrapX solution was a perfect fit for our environment. It provided immediate visibility into our medical device networks and didn–t require any changes to our network topology,” Thomas concluded.

Unlike perimeter-based platforms that sit at the network–s edge and act as a first line of defense against intruders, deception technology sits inside an organization–s network and catches attackers that have slipped past traditional perimeter and endpoint solutions. As the threat landscape evolves and threats become smarter and more effective in bypassing traditional defenses, deception technology has emerged as an important and innovative approach to detecting advanced attacks inside the network.

“We have seen a substantial increase in the number targeted attacks against healthcare organizations over the past 12 months. As detailed in our MEDJACK report, healthcare data and the critical infrastructure that supports patient care have become lucrative targets for crime syndicates, nation states and individuals with nefarious intent,” said Greg Enriquez, CEO for TrapX. “Deception technology is designed to substantially reduce the time to breach detection by providing healthcare organizations with an easily-configured defensive capability that covers difficult-to-defend assets such as medical devices, therefore further protecting patient information. We look forward to working with John Muir Health and helping them better fortify their network defenses.”

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John Muir Health is a nationally recognized, not-for-profit health care organization east of San Francisco serving patients in Contra Costa, eastern Alameda and southern Solano Counties. It includes a network of more than 1,000 primary care and specialty physicians, nearly 6,000 employees, medical centers in Concord and Walnut Creek, including Contra Costa County–s only trauma center, and a Behavioral Health Center. John Muir Health also has partnerships with San Ramon Regional Medical Center, UCSF Health and Stanford Children–s Health to expand its capabilities, increase access to services and better serve patients. The health system offers a full-range of medical services, including primary care, outpatient and imaging services, and is widely recognized as a leader in many specialties — neurosciences, orthopedic, cancer, cardiovascular, trauma, emergency, pediatrics and high-risk obstetrics care. For more information, visit .

TrapX Security is a leader in dynamic deception operations. Our solutions rapidly detect, analyze and defend against new zero-day and APT attacks in real time. DeceptionGrid provides automated, highly accurate insight into malware and malicious activity unseen by other types of cyber defense. We enable a proactive security posture, fundamentally changing the economics of cyber defense by shifting the cost to the attacker. The TrapX Security customer base includes Forbes Global 2000 commercial and government customers around the world in sectors that include defense, health care, finance, energy, consumer products and other key industries. Learn more at .

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