AI Needed To Prevent Cyber-Attacks On Healthcare

In 2015, the US healthcare industry was one of the top three industries hit with serious data breaches and major attacks, along with government and manufacturers – this was not restricted to the US, it was worldwide.

Healthcare organisations are packed with a wealth of exploitable information, such as credit card data, email addresses, Social Security numbers, employment information and medical history records, much of which will remain valid for years, if not decades and fetch a high price on the black market.

It is commonly believed attacks are from outside intruders looking to steal valuable patient data, and 45 percent of the hacks are external. However, “phantom” hackers are also often your colleagues, employees and business associates who are unwittingly careless in the use of passwords or lured by phishing schemes that open the door for data thieves. Not only is data stolen, but privacy violations are insidious.

The problem is not only high-tech, but also low-tech, requiring that providers across the continuum simply become smarter about data protection and privacy issues. Medical facilities are finding they must teach doctors and nurses not to click on suspicious links.

To thwart accidental and purposeful hackers, organisations should implement physical security procedures to secure network hardware and storage media through measures like maintaining a visitor log and installing security cameras. Also limiting physical access to server rooms and restricting the ability to remove devices from secure areas. Yes, humans are the weakest link.

Medical data theft is a growing national concern. IDC’s Health Insights group predicts that 1 in 3 healthcare recipients will be the victim of a medical data breach in 2016. Other surveys found that in the last two years, 89 percent of healthcare organizations reported at least one data breach, with 79 percent reporting two or more breaches. The most commonly compromised data are medical records, followed by billing and insurance records. The average cost of a healthcare data breach is about $2.2 million.

At health insurer Anthem, Inc., foreign hackers stole up to 80 million records using social engineering to dig their way into the company's network using the credentials of five tech workers. The hackers stole names, Social Security numbers and other sensitive information, but were thwarted when an Anthem computer system administrator discovered outsiders were using his own security credentials to log into the company system and to hack databases.

Investigators believe the hackers somehow compromised the tech worker’s security through a phishing scheme that tricked the employee into unknowingly revealing a password or downloading malicious software. Using this login information, they were able to access the company’s database and steal files.

Not only is current patient data security an issue, but thieves can also drain the electronic economic blood from hospitals, its IT systems. Hospitals increasingly rely on cloud delivery of big enterprise data from start-ups like iCare that can predict epidemics, cure disease and avoid preventable deaths. They also add personal health record apps to the system from fitness apps like FitBit and Jawbone.

Banner Health, operating 29 hospitals in Arizona, had to notify millions of individuals that their data was exposed. The breach began when hackers gained access to payment card processing systems at some of its food and beverage outlets. That apparently also opened the door to the attackers accessing a variety of healthcare-related information.

Because Banner Health says its breach began with an attack on payment systems, it’s different than other recent breaches. While payment system attacks have plagued the retail sector, they are almost unheard of by healthcare entities.

What also makes this breach more concerning is the question of how did hackers access healthcare systems after breaching payment systems at food/beverage facilities, when these networks should be completely separated from one another? Healthcare system networks are very complex and become more complicated as other business functions are added to the infrastructure - even those that don't necessarily have anything to do with systems handling and protected health information.

Is the data theft at MedStar Health, a major healthcare system in the DC region, a foreboding sign that an industry racing to digitize and interoperate EHRs is facing a new kind of security threat that it is ill-equipped to handle? Hospitals are focused on keeping patient data from falling into the wrong hands, but attacks at MedStar and other hospitals highlight an even more frightening downside of security breaches—as hospitals strive for IT interoperability. Is this goal now a concern?

As hospitals increasingly depend on EHRs and other IT systems to coordinate care, communicate critical health data and avoid medication errors, they could also be risking patients’ well-being when hackers strike. While chasing the latest medical innovations, healthcare facilities are rapidly learning that caring for patients also means protecting their medical records and technology systems against theft and privacy violations.

Healthcare is an easy target. Its security systems tend to be less mature than those of other industries, such as finance and tech. Its doctors and nurses depend on data to perform time-sensitive and life-saving work.

Where a financial-services firm might spend a third of its budget on information technology, hospitals spend only about 2 percent to 3 percent. Healthcare providers are averaging less than 6 percent of their information technology budget expenditures on security, according to a recent HIMSS survey. In contrast, the federal government spends 16 percent of its IT budget on security, while financial and banking institutions spend 12 percent to 15 percent.

Meanwhile, the number of healthcare attacks over the last five years has increased 125 percent, as the industry has become an easy target. Personal health information is 50 times more valuable on the black market than financial information. Stolen patient health records can fetch as much as $363 per record.

“If you’re a hacker... would you go to Fidelity or an underfunded hospital?” says John Halamka, the chief information officer of Beth Israel Deaconess Medical Center in Boston. “You’re going to go where the money is and the safe is the easiest to open.”

Many healthcare executives believe that the healthcare industry is at greater risk of breaches than other industries. Despite these concerns, many organizations have either decreased their cyber security budgets or kept them the same. While the healthcare industry has traditionally spent a small fraction of its budget on cyber defense, it has also not shored up its technical systems against hackers.

Common defenses in trying to keep patient data safe have included firewalls and keeping the organisation’s operating systems, software, anti-virus packages and other protective solutions up-to-date. This task of constantly updating and patching security gaps or holes is ongoing and will invariably be less than 100 percent functional at any given time. However, with only about 10 percent of healthcare organizations not having experienced a data breach, sophisticated hackers are clearly penetrating through these perimeter defenses and winning the healthcare data security war. So it’s time for a disruption.

Many organisations employ network surveillance tactics to prevent the misuse of login credentials. These involve the use of behavior analysis, a technique that the financial industry uses to detect credit card fraud. By adding some leading innovation, behavior analysis can offer C-suite healthcare executives a cutting-edge, game-changing innovation.

The technology relies on the proven power of cloud technology to combine artificial intelligence with machine learning algorithms to create and deploy “digital fingerprints” using ambient cognitive cyber surveillance to cast a net over EHRs and other hospital data sanctuaries. It exposes user behavior deviations while accessing EHRs and other applications with PHI that humans would miss and can not only augment current defenses against outside hackers and malicious insiders, but also flag problem employees who continually violate cyber security policy.

"Hospitals have been hit hard by data theft," said Doug Brown, CEO, Black Book Research. "It is time for them to consider new IT security initiatives. Harnessing machine learning artificial intelligence is a smart way to sort through large amounts of data. When you unleash that technology collaboration, combined with existing cloud resources, the security parameters you build for detecting user pattern anomalies will be difficult to defeat."

While the technology is advanced, the concept is simple. A pattern of user behavior is established and any actions that deviate from that behavior, such as logging in from a new location or accessing a part of the system the user normally doesn’t access are flagged. Depending on the deviation, the user may be required to provide further authentication to continue or may be forbidden from proceeding until a system administrator can investigate the issue.

Some of those leading this effort include Cognetyx which delivers 'Ambient Cognitive Cyber Surveillance' to protect healthcare information assets against cyber security threats, data breaches & privacy violations. The Houston-based firm provides a Virtual Intelligent Eye that combines artificial intelligence with advanced machine learning algorithms to provide real-time behavior analysis and anomalous user access monitoring.

While not a healthcare security player, Hindsait also uses artificial intelligence and predictive analytics in a software-as-a-service platform, enabling payers and accountable care organizations to identify potentially unnecessary services during the review process and improve quality of care.

The cost of this technology will be positively impacted by the continuing decline in the cost of storage and processing power from cloud computing giants such as Amazon Web Services, Microsoft and Alphabet.

The healthcare data security war can be won, but it will require action and commitment from the industry. In addition to allocating adequate human and monetary resources to information security and training employees on best practices, the industry would do well to implement network surveillance that includes behavior analysis. It is the single best technological defense against the misuse of medical facility systems and the most powerful weapon the healthcare industry has in its war against cyber-criminals.

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