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Prescribing Good to Find Bad Activity on Health Networks | @CloudExpo #Cloud #MachineLearning

In today’s challenging security world, it’s important to understand that attackers regularly target healthcare networks

The hype around data breaches in the health industry may seem commonplace and cause complacency. Last year, it was Anthem and Premera Blue Cross suffering attacks affecting nearly 90 million people combined. Among others, last month it was Banner Health - a nationwide health system based in Arizona - which reported a cyberattack affecting 3.7 million patients and customers.

This month the U.S. Department of Health and Human Services' Office for Civil Rights (OCR) levied a $5.5M fine on Advocate Health Care Network, the highest penalty to date on a health care organization having a data breach that caused a violation of HIPAA. The fine is in addition to the other costs and damages facing Advocate Health Care Network.

In today's challenging security world, it's important to understand that attackers regularly target healthcare networks and, more specifically, Personally Identifiable Information (PII) and associated medical data. But could it really happen to your network, if you have the latest perimeter security installed?

The answer is unfortunately "yes." With enough motivation, a cybercriminal will target your health network and likely infiltrate it. History shows there is plenty of motivation to attack an organization in healthcare than any other market. According to a report from Trend Micro that analyzes cyberattack data over ten years, healthcare is the most attacked industry, with the greatest number of data breaches.

Protected Health Information (PHI) has an excellent resale value for cybercriminals, generating as much as ten times the value of other Personally Identifying Information (PII) or credit card details. Breach costs are $363 for each stolen healthcare record - the highest cost of any vertical market - according to a recent Ponemon Research report. Those costs will likely be higher with additional penalties, loss of business and reputation and other punitive damage.

Once a cybercriminal wants in, there is only the smallest fraction of a chance that they will be stopped over the long haul. No health network is 100 percent protected. Perimeter security might deflect 95 percent or higher of intrusion attacks, but complete protection is impossible. For example, penetration ("pen") testers are used by organizations to test their security. The best pen testers guarantee that they can break into a network within a couple of days, simply because there are far too many ways to find an unsecure path to the internal network.

These days hackers are so creative that installation of malicious software does not even require a user to click on anything, as drive-by installers are becoming commonplace. Malware may not even be involved in the attack, since there are thousands of ways to gain credentialed access to a health network. With an almost unlimited number of opportunities, attackers clearly have the advantage. If health organizations fail only once, they have lost the battle.

Once inside a health network, an attacker can stay completely hidden to do their work since very few healthcare organizations have the ability to detect an attacker in their network. Some tools may uncover signs of an attacker, but these alerts get buried under hundreds or thousands of other alerts, mostly deemed false positives. Security systems are notoriously inefficient and inaccurate since they warn about the never-ending presence of malware and each movement of a potentially suspicious activity. As a result, it would take sheer luck to detect a real network attacker amidst the thousands of alerts.

Searching for malware will reduce threats that may leak through perimeter security, but it will rarely uncover the activities of an attacker. The only way to find an attacker is to consider a different approach to security. Instead of looking for the technical attributes or artifacts of malware and other exploits, you must focus on the attacker's actions to quickly and accurately detect an active attacker in health organizations. Look for the activities they must do by necessity once they are in a new network that is unfamiliar to them to accomplish their objectives.

An attacker needs to explore the new network to discover and gain access to valuable information. They also need to move laterally across the network to work their way to assets they can commandeer. These attack activities are difficult to detect unless you know what "good" activities look like on your network. This "knowledge of good" comes from continuously profiling all users and devices, and learning their normal activities and habits. Once a baseline of good is established, the anomalous activities can be detected to determine those most likely to be "bad" or malicious.

Advanced machine learning makes this possible. Using a model of known good makes it possible to find the bad. These new techniques of using good to detect the activities of an attacker are emerging but are still not well known. Unfortunately, most health organizations seem stuck in the mentality of preventative security. It's been the focus for health IT teams for the past 20 years, and old habits die hard.

Most health IT people acknowledge that preventative security is not effective, and they realize that attackers get into networks. The FBI and Gartner both fully agree. Despite this, these IT pros focus on finding the latest technological improvement, hoping to finally make their networks fully secure. This gulf between admitting one thing and acting a completely different way is not the method to solve this problem.

The odds are extremely high that you won't be able to detect the attack until theft or damage has already occurred. The average for "dwell time," or the amount of time it takes network attackers to be found, is five months. Some take far longer, and the attacker quietly steals completely unnoticed. These cases might include a slow, methodical theft of Protected Health Information (PHI), or private health organization data. Others might involve using credentialed access from your health network to access the network of a partner, supplier or affiliated clinic.

The seriousness in the health industry remains very real. Fortunately, there are solutions being deployed that address these threats. A new approach focusing on known good is the prescription for health organizations to finally fend off network attackers and avoid costly breaches.

More Stories By David Thompson

David Thompson serves as the Senior Director of Product Management for LightCyber, responsible for assessing customer and market requirements, conducting sales and channel training and enablement, market education, and overall solution definition. He has been with LightCyber since late 2014.

Mr. Thompson has over 15 years of experience focused on information security. Prior to joining LightCyber, he served in Product Management leadership positions for OpenDNS, iPass, Websense, and Voltage Security (now HP). Prior to running product management at Voltage Security, he was a Program Director at Meta Group (now Gartner) responsible for security research topics including encryption, PKI, remote access, and secure network design. He holds a bachelors of science in Physics from Yale University.

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