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2021 Healthcare Cybersecurity Priorities: Experts Weigh In

#artificialintelligence

Healthcare cybersecurity is in triage mode. As systems are stretched to the limits by COVID-19 and technology becomes an essential part of everyday patient interactions, hospital and healthcare IT departments have been left to figure out how to make it all work together, safely and securely. Most notably, the connectivity of everything from thermometers to defibrillators is exponentially increasing the attack surface, presenting vulnerabilities IT professionals might not even know are on their networks. Get the whole story and DOWNLOAD the eBook now – on us!] The result has been a newfound attention from ransomware and other malicious actors circling and waiting for the right time to strike. Rather than feeling overwhelmed in the current cybersecurity environment, it's important for healthcare and hospital IT teams to look at security their networks as a constant work in progress, rather than a single project with a start and end point, according to experts Jeff Horne from Ordr and G. Anthony Reina who participated in Threatpost's November webinar on Heathcare Cybersecurity. "This is a proactive space," Reina said. "This is something where you can't just be reactive. You actually have to be going out there, searching for those sorts of things, and so even on the technologies that we have, you know, we're, we're proactive about saying that security is an evolving, you know, kind of technology, It's not something where we're going to be finished." Healthcare IT pros, and security professionals more generally, also need to get a firm handle on what lives their networks and its potential level of exposure. The fine-tuned expertise of healthcare connected machines, along with the enormous cost to upgrade hardware in many instances, leave holes on a network that simply cannot be patched. "Because, from an IT perspective, you cannot manage what you can't see, and from a security perspective, you can't control and protect what you don't know," Horne said. Threatpost's experts explained how healthcare organizations can get out of triage mode and ahead of the next attack. The webinar covers everything from bread and butter patching to a brand-new secure data model which applies federated learning to functions as critical as diagnosing a brain tumor. Alternatively, a lightly edited transcript of the event follows below. Thank you so much for joining. We have an excellent conversation planned on a critically important topic, Healthcare cybersecurity. My name is Becky Bracken, I'll be your host for today's discussion. Before we get started, I want to remind you there's a widget on the upper right-hand corner of your screen where you can submit questions to our panelists at any time. We encourage you to do that. You'll have to answer questions and we want to make sure we're covering topics most interesting to you, OK, sure. Let's just introduce our panelists today. First we have Jeff Horne. Jeff is currently the CSO at Ordr and his priors include SpaceX.


GPT-3 Creative Fiction

#artificialintelligence

What if I told a story here, how would that story start?" Thus, the summarization prompt: "My second grader asked me what this passage means: …" When a given prompt isn't working and GPT-3 keeps pivoting into other modes of completion, that may mean that one hasn't constrained it enough by imitating a correct output, and one needs to go further; writing the first few words or sentence of the target output may be necessary.


AI Development Pushed by Pandemics

#artificialintelligence

COVID19, also known as coronavirus, has developed into a recent global threat. The disease has no cure, no treatments, and no means of controlling it – other than isolation, social distancing, face masks, and hand washing. One form of technology that has shown its capability in tracing, tracking, and helping to prevent the spread of the virus comes through artificial intelligence or AI. AI systems were already in use as a tool to help predict and prevent the spread of viruses in the health community. It was an AI-based system that first discovered an unknown form of pneumonia that was spreading around Wuhan, China, giving insight that an epidemic was in its beginnings.


IoT and AI Aid Critical Event Management to Battle COVID-19, but Deployment could Raise Privacy Concerns

#artificialintelligence

In coping with an emerging crisis, the need for accurate and actionable information is paramount for effective response – but there has never before been a scenario like the current COVID-19 pandemic. Responders are looking to new technologies including IoT and AI to help tackle this outbreak, but their deployment may have a far-reaching impact on our privacy. How can these technologies contribute to response, both globally and locally – and what privacy concerns could they raise, both now and in the months to follow? The evolution of IoT and AI has grown to the point where these technologies can now be called on to make a real contribution to responding to a crisis manifesting both globally and locally. Globally, modern analytics can learn about the factors of spread that can help analysts identify where actions need to be taken.


Identifying and working with sensitive healthcare data with Amazon Comprehend Medical Amazon Web Services

#artificialintelligence

SUBJECTIVE: Carlos came to the ED via ambulance accompanied by son, Jorge. He is a 50 yo male who was working at Food Corp when he had sudden onset of palpitations. Carlos stated his fater, Diego, also had palpitations through his life.


Hackers steal dead people's medical records and sell them on the dark web

The Independent - Tech

Medical records of deceased patients are appearing on illicit market places on the dark web, cyber security researchers have discovered. Cyber criminals are advertising huge caches of personal data of up to 140 million patients, with their value exceeding that of stolen credit card details. The morbid trend follows an increasing amount of incidents of medical data breaches, as reported by Oren Koriat, an analyst at the security firm Cynerio. "Cynerio is still seeing continued growth in the number of incidents of patient medical record breaches from hacking and unauthorised access to healthcare systems," Mr Koriat wrote. "Recently, Cynerio has detected an interesting new wrinkle in the sale of stolen medical data on the dark web.



Top Data Sources for Journalists in 2018 (350 Sources)

@machinelearnbot

There are many different types of sites that provide a wealth of free, freemium and paid data that can help audience developers and journalists with their reporting and storytelling efforts, The team at State of Digital Publishing would like to acknowledge these, as derived from manual searches and recognition from our existing audience. Kaggle's a site that allows users to discover machine learning while writing and sharing cloud-based code. Relying primarily on the enthusiasm of its sizable community, the site hosts dataset competitions for cash prizes and as a result it has massive amounts of data compiled into it. Whether you're looking for historical data from the New York Stock Exchange, an overview of candy production trends in the US, or cutting edge code, this site is chockful of information. It's impossible to be on the Internet for long without running into a Wikipedia article.


Mattel cancels plans for a kid-focused AI device that drew privacy concerns

#artificialintelligence

Mattel said Wednesday that it will not move forward with plans to sell a kid-focused smart hub, after new executives decided it did not "fully align with Mattel's new technology strategy," according to a company statement. Children's health and privacy advocates this week petitioned the toy giant not to release the device, which they argued gave the firm an unprecedented look into the personal lives of children. In a statement, Mattel said that it had decided internally not to take the product to market after a new chief technology officer, Sven Gerjets joined the company in July. Gerjets, Mattel said, reviewed the product and decided "not to bring Aristotle to the marketplace as part of an ongoing effort to deliver the best possible connected product experience to the consumer." Aristotle was designed for a child's room.


AI will usher in new generation of advanced security software

#artificialintelligence

Healthcare IT and information security executives just got a glimpse of what the next generation of security software might look like and the new functionalities imminent products will bring to customers. IT consultancy Gartner noted that by 2020 at least 75 percent of security software tools on the market will include predictive and prescriptive analytics based on heuristics, artificial intelligence capabilities or machine learning algorithms to essentially augment hospitals' oft-limited security operations and staff. "The overall security market is undergoing a period of disruption due to the rapid transition to cloud-based digital business and technology models that are changing how risk and security functions deliver value in an organization," Gartner principal analyst Deborah Kish said. Gartner added that its recent research into security spending found that organizations across industries, not just healthcare, have developed a preference for buying security and risk management technologies as cloud computing or software-as-a-service offerings. "SaaS for security and risk management is becoming critical as customers transition to digital business practices," Gartner said.