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2021 Healthcare Cybersecurity Priorities: Experts Weigh In

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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.


AI and Cybersecurity: What's the deal

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Artificial intelligence is probably the future of security software regarding how many processes it can improve and how little resources it requires. Positively, it will be integrated into the advanced antivirus programs and take on more and more features. Although not all the antiviruses have AI integrated, it is still essential to protect personal gear and information from intruders and hacker attacks. If you need to find a porter antivirus, read professional and common user reviews. This way, you'll be able to see how good is AVG antivirus, Avast, or any other one, before AI can handle all the security processes. So, for starters, artificial intelligence can be classified into two types.


AI could be the next big defence against cybercrime

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The future of corporate cybersecurity seems to lie in artificial intelligence (AI) and machine learning (ML) solutions, a new report from global IT company Wipro suggests. According to Wipro's annual State of Cybersecurity Report (SOCR), almost half (49 percent) of all cybersecurity-related patents filed in the last four years have centered on AI and ML application. Almost half of the 200 organizations that participated in the report also said they are expanding cognitive detection capabilities to tackle unknown attacks in their Security Operations Centers (SOC). From a global perspective, one of the main threats for organizations in the private sector seems to be potential espionage attacks from nation-states. Almost all (86 percent) cyberattacks that came from state-sponsored actors fall under the espionage category and almost half (46 percent) of those attacks targeted the private sector.


Artificial Intelligence for Smarter Cybersecurity

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Organizations continue to embrace the Internet of Things (IoT), the cloud, and mobile technology. This has influenced considerable changes in the threat landscape and created more vulnerability points. Cybercriminals are leveraging these new vulnerability points to develop and launch sophisticated, high-volume, multi-dimensional attacks. Such attacks mean that data is at risk, and organizations must analyze potentially malicious files. Using artificial intelligence software, organizations can process large volumes of threat data and adequately prevent and respond to breaches and hacks.


The Key Use Cases of AI for Cybersecurity

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FREMONT, CA: Cybercriminals are developing new and sophisticated ways to access controls, firewalls, and jeopardizing highly secure networks. AI-powered solutions are necessary to solve security issues and provide opportunities to develop more robust solutions. AI will substantially boost security systems, minimizing criminal intelligence using million of resources in case of an attack or malicious behavior. AI can enhance and track important processes in the data center. Its calculative powers and constant monitoring abilities offer insights into what would optimize hardware and infrastructure efficiency and security.


How Big Data is Aiding Effective Digital Transformation

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Data is an important factor for the success of any organization. Undoubtedly, organizations are playing high on big data. The huge amount of data that is generated and collected every day, the potential for a successful enterprise lies beyond impactful insights. As organizations are already invaded by the innovative technologies, the scope of digital transformation gets accelerated. But in order to successfully digitise an organization, implementation of useful data with proper methodology is imperative.


The State Of Bot Cybersecurity, 2020

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Nearly 90% of organizations say malicious bots are proving increasingly elusive to identify and ... [ ] destroy. These and many other fascinating findings are from Kount's 2020 Bot Landscape & Impact Report published earlier this week. The report's methodology is based on interviews with online retail and eCommerce business employees with full-time roles related to fraud prevention, customer experience, payments and management. Please see page 3 of the study for additional details on the methodology. The findings bring to light new insights into how businesses are using good bots, the breadth of the threat posed by different types of malicious bots and the state of bot mitigation and management.


Three Things to Consider in Emerging AI and ML Cybersecurity Landscape

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Cyber threats continue to escalate in both sophistication and volume. Traditional approaches to threat detection, however, are no longer sufficient to ensure protection. Correspondingly, machine learning (ML) has proven highly effective at identifying and warding off cyber attacks. Machine learning's power is the result of three factors: data, compute power and algorithms. Due to its very nature, the cyber field produces substantial amounts of data.


The State Of Bot Cybersecurity, 2020

#artificialintelligence

These and many other fascinating findings are from Kount's 2020 Bot Landscape & Impact Report published earlier this week. The report's methodology is based on interviews with online retail and eCommerce business employees with full-time roles related to fraud prevention, customer experience, payments and management. Please see page 3 of the study for additional details on the methodology. The findings bring to light new insights into how businesses are using good bots, the breadth of the threat posed by different types of malicious bots and the state of bot mitigation and management. It is a fascinating read for anyone involved in cybersecurity in general and bots specifically.


How Machine Learning will Transform Cybersecurity - BoTree Technologies

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As digital technology progresses, there has been a growing number of cyberattacks in the last couple of years. By the first half of 2019, 4.1 billion records were exposed due to data breaches. That number is multiplying every day as more people and businesses move online. Cyberattacks are critical for every organization as they can bring the entire organization to a standstill. In such scenarios, security is a necessity for all organizations.