It is with profound sadness that we report the untimely passing of Neil Peart. Neil passed away on Tuesday, January 7th after a three and a half year battle with cancer.
The band made the following official statement earlier today:
It is with broken hearts and the deepest sadness that we must share the terrible news that on Tuesday our friend, soul brother and band mate of over 45 years, Neil, has lost his incredibly brave three and a half year battle with brain cancer (Glioblastoma). We ask that friends, fans, and media alike understandably respect the family’s need for privacy and peace at this extremely painful and difficult time. Those wishing to express their condolences can choose a cancer research group or charity of their choice and make a donation in Neil Peart's name.
Rest in peace brother.
Neil Peart September 12, 1952 - January 7, 2020
It is hard to fathom the enormous loss Neil's passing presents to the world of music and to the legions of Rush fans the world over. He made his mark in his short time on this earth, and he will not be soon forgotten.
Rest in Peace, Neil. Thank you for a lifetime of music that will span the ages.
"Suddenly, you were gone From all the lives you left your mark upon"
Never were those words more true than today, when we learned of the shocking passing of Neil Peart this past Tuesday, January 7th, after a three and a half year battle with brain cancer (Glioblastom). Always fiercely private, he kept his illness a secret to all but a few. In one of life's ultimate cruelties ("The Stars Look Down" indeed), Neil retired from drumming in 2015 only to be diagnosed with cancer a year later. He leaves behind his wife Carrie and daughter Olivia. Here's a collection of news items announcing his death and those that have come out to pay tribute to his loss.
Healthcare records are bestsellers on the Dark Web, ranging in price from $250 to over $1,000 per record.
The growing, profitable market for Protected Health Information (PHI) is attracting sophisticated cybercriminal syndicates, several of which are state-sponsored.
Medical fraud is slower to detect and notify, unlike financial fraud (ex. stolen credit cards), contributing to its popularity with cybercriminals globally.
Cybercriminals prefer PHI data because it’s easy to sell and contains information that is harder to cancel or secure once stolen. Examples include insurance policy numbers, medical diagnoses, Social Security Numbers (SSNs), credit card, checking and savings account numbers.
These and many other insights into why healthcare provider networks are facing a cybersecurity crisis are from the recently declassified U.S. Department of Health & Human ServicesHC3 Intelligence Briefing Update Dark Web PHI (Protected Health Information) Marketplace presented April 11th of this year. You can download a copy of the slides here (PDF, 13 pp, no opt-in). The briefing provides a glimpse into how the dark web values the “freshness’ of healthcare data and the ease of obtaining elderly patient records, skewing stolen identities to children, and elderly patients. Protenus found that the single largest healthcare breach this year involves 20 million patent records stolen from a medical collections agency. The breach was discovered after the records were found for sale on the dark web. Please see their 2019 Mid-Year Breach Barometer Report (opt-in required) for an analysis of 240 of the reported 285 breach incidents affecting 31,611,235 patient records in the first six months of this year. Cybercriminals capitalize on medical records to drive one or more of the following strategies as defined by the HC3 Intelligence Briefing:
Stopping A Breach Can Avert A HIPAA Meltdown
To stay in business, healthcare providers need to stay in compliance with the Health Insurance Portability and Accountability Act of 1996 (HIPAA). HIPAA provides data privacy and security provisions for safeguarding medical information. Staying in compliance with HIPAA can be a challenge given how mobile healthcare provider workforces are, and the variety of mobile devices they use to complete tasks today. 33% of healthcare employees are working outside of the office at least once a week. And with government incentives for decentralized care expected to expand mobile workforces industry-wide, this figure is expected to increase significantly. Health & Human Services provides a Breach Portal that lists all cases under investigation today. The Portal reflects the severity of healthcare providers’ cybersecurity crisis. Over 39 million medical records have been compromised this year alone, according to HHS’ records from over 340 different healthcare providers. Factoring in the costs of HIPAA fines that can range from $25,000 to $15.M per year, it’s clear that healthcare providers need to have endpoint security on their roadmaps now to avert the high costs of HIPAA non-compliance fines.
Securing endpoints across their healthcare provider networks is one of the most challenging ongoing initiatives any Chief Information Security Officer (CISO) for a healthcare provider has today. 39% of healthcare security incidents are caused by stolen or misplaced endpoints. CISOs are balancing the need their workforces have for greater device agility with the need for stronger endpoint security. CISOs are solving this paradox by taking an adaptive approach to endpoint security that capitalizes on strong asset management. “Keeping machines up to date is an IT management job, but it’s a security outcome. Knowing what devices should be on my network is an IT management problem, but it has a security outcome. And knowing what’s going on and what processes are running and what are consuming network bandwidth is an IT management problem, but it’s a security outcome “, said Nicko van Someren, Ph.D. and Chief Technology Officer at Absolute Software.
5 Strategies for Healthcare Providers Are Using To Secure Networks
Thwarting breaches to protect patients’ valuable personal health information starts with an adaptive, strong endpoint strategy. The following are five proven strategies for protecting endpoints, assuring HIPAA compliance in the process:
Implementing an adaptive IT asset management program delivers endpoint security at scale. Healthcare providers prioritizing IT asset management control and visibility can better protect every endpoint on their network. Advanced features including real-time asset management to locate and secure devices, geolocation fencing so devices can only be used in a specific area and device freeze options are very effective for securing endpoints. Healthcare providers are relying more and more on remote data delete as well. The purpose of this feature is to wipe lost or stolen devices within seconds.
Improve security and IT operations with faster discovery and remediation across all endpoints. Implement strategies that enable greater remediation and resilience of every endpoint. Healthcare providers are having success with this strategy, relying on IT asset management to scale remediation and resilience to every endpoint device. Absolute’s Persistence technology is a leader in this area by providing scalable, secure endpoint resiliency. Absolute also has a proven track record of providing self-healing endpoints extending their patented firmware-embedded Persistence technology that can self-heal applications on compatible endpoint devices.
Design in HIPAA & HITECH compliance and reporting to each endpoint from the first pilot. Any endpoint security strategy needs to build in ongoing compliance checks and automated reports that are audit-ready. It also needs to be able to probe for violations across all endpoints. Advanced endpoint security platforms are capable of validating patient data integrity with self-healing endpoint security. All of these factors add up to reduce time to prepare audits with ongoing compliance checks across your endpoint population.
A layered security strategy that includes real-time endpoint orchestration needs to anchor any healthcare network merger or acquisition, ensuring patient data continues to be protected. Private Equity (PE) firms continue acquiring providers to create healthcare networks that open up new markets. The best breach prevention, especially in merged or acquired healthcare networks, is a comprehensive layered defense strategy that spans endpoints and networks. If one of the layers fails, there are other layers in place to ensure your organization remains protected. Healthcare providers’ success with layered security models is predicated on how successful they are achieving endpoint resiliency. Absolute’s technology is embedded in the core of laptops and other devices at the factory. Once activated, it provides healthcare providers with a reliable two-way connection so they can manage mobility, investigate potential threats, and take action if a security incident occurs.
Endpoint security needs to be tamper-proof at the operating system level on the device yet still provides IT and cybersecurity teams with device visibility and access to modify protections. Healthcare providers need an endpoint visibility and control platform that provides a persistent, self-healing connection between IT, security teams, and every device, whether it is active on the network or not. Every identity is a new security perimeter. Healthcare providers’ endpoint platforms need to be able to secure all devices across different platforms, automate endpoint hygiene, speed incident detection, remediation, and reduce IT asset loss by being able to self-diagnose and repair endpoint devices on real-time.
Capgemini predicts 63% of organizations are planning to deploy AI in 2020 to improve cybersecurity, with the most popular application being network security.
Cybersecurity is at an inflection point entering 2020. Advances in AI and machine learning are accelerating its technological progress. Real-time data and analytics are making it possible to build stronger business cases, driving higher adoption. Cybersecurity spending has rarely been linked to increasing revenues or reducing costs, but that’s about to change in 2020.
What Leading Cybersecurity Experts Are Predicting For 2020
AI and machine learning will continue to enable asset management improvements that also deliver exponential gains in IT security by providing greater endpoint resiliency in 2020. Nicko van Someren, Ph.D. and Chief Technology Officer at Absolute Software, observes that “Keeping machines up to date is an IT management job, but it’s a security outcome. Knowing what devices should be on my network is an IT management problem, but it has a security outcome. And knowing what’s going on and what processes are running and what’s consuming network bandwidth is an IT management problem, but it’s a security outcome. I don’t see these as distinct activities so much as seeing them as multiple facets of the same problem space, accelerating in 2020 as more enterprises choose greater resiliency to secure endpoints.”
AI tools will continue to improve at drawing on data sets of wildly different types, allowing the “bigger picture” to be put together from, say, static configuration data, historic local logs, global threat landscapes, and contemporaneous event streams. Nicko van Someren, Ph.D., and CTO at Absolute Software also predict that“Enterprise executives will be concentrating their budgets and time on detecting cyber threats using AI above predicting and responding. As enterprises mature in their use and adoption of AI as part of their cybersecurity efforts, prediction and response will correspondingly increase.”
Threat actors will increase the use of AI to analyze defense mechanisms and simulate behavioral patterns to bypass security controls, leveraging analytics to and machine learning to hack into organizations. Dr. Torsten George, Cybersecurity Evangelist at Centrify, predicts that “threat actors, many of them state-sponsored, will increase their use and sophistication of AI algorithms to analyze organizations’’ defense mechanisms and tailor attacks to specific weak areas. He also sees the threat of bad actors being able to plug into the data streams of organizations and use the data to further orchestrate sophisticated attacks.”
Given the severe shortage of experienced security operations resources and the sheer volume of data that most organizations are trying to work through, we are likely to see organizations seeking out AI/ML capabilities to automate their security operations processes. Craig Sanderson, Vice President of Security Products at Infoblox also predicts that “while AI and machine learning will increasingly be used to detect new threats it still leaves organizations with the task of understanding the scope, severity, and veracity of that threat to inform an effective response. As security operations becomes a big data problem it necessitates big data solutions.”
There’s going to be a greater need for adversarial machine learning to combat supply chain corruption in 2020. Sean Tierney, Director of Threat Intelligence at Infoblox, predicts that “the need for adversarial machine learning to combat supply chain corruption is going to increase in 2020. Sean predicts that the big problem with remote coworking spaces is determining who has access to what data. As a result, AI will become more prevalent in traditional business processes and be used to identify if a supply chain has been corrupted.”
Artificial intelligence will become more prevalent in account takeover—both the proliferation and prevention of it. Josh Johnston, Director of AI at Kount, predicts that “the average consumer will realize that passwords are not providing enough account protection and that every account they have is vulnerable. Captcha won’t be reliable either, because while it can tell if someone is a bot, it can’t confirm that the person attempting to log in is the account holder. AI can recognize a returning user. AI will be key in protecting the entire customer journey, from account creation to account takeover, to a payment transaction. And, AI will allow businesses to establish a relationship with their account holders that are protected by more than just a password.”
Consumers will take greater control of their data sharing and privacy in 2020. Brian Foster, Senior Vice President Product Management at MobileIron, observes that over the past few years, we’ve witnessed some of the biggest privacy and data breaches. As a result of the backlash, tech giants such as Apple, Google, Facebook and Amazon beefed up their privacy controls to gain back trust from customers. Now, the tables have turned in favor of consumers and companies will have to put privacy first to stay in business. Moving forward, consumers will own their data, which means they will be able to selectively share it with third parties, but most importantly, they will get their data back after sharing, unlike in years past.
As cybersecurity threats evolve, we’ll fight AI with AI. Brian Foster, Senior Vice President Product Management at MobileIron, notes that the most successful cyberattacks are executed by highly professional criminal networks that leverage AI and ML to exploit vulnerabilities such as user behavior or security gaps to gain access to valuable business systems and data. All of this makes it extremely hard for IT security organizations to keep up — much less stay ahead of these threats. While an attacker only needs to find one open door in an enterprise’s security, the enterprise must race to lock all of the doors. AI conducts this at a pace and thoroughness human ability can no longer compete with, and businesses will finally take notice in 2020.
AI and machine learning will thwart compromised hardware finding its way into organizations’ supply chains. Rising demand for electronic components will expand the market for counterfeit components and cloned products, increasing the threat of compromised hardware finding its way into organizations’ supply chains. The vectors for hardware supply-chain attacks are expanding as market demand for more and cheaper chips, and components drive a booming business for hardware counterfeiters and cloners. This expansion is likely to create greater opportunities for compromise by both nation-state and cybercriminal threat actors. Source: 2020 Cybersecurity Threats Trends Outlook; Booz, Allen, Hamilton, 2019.
Capgemini predicts 63% of organizations are planning to deploy AI in 2020 to improve cybersecurity, with the most popular application being network security. Capgemini found that nearly one in five organizations were using AI to improve cybersecurity before 2019. In addition to network security, data security, endpoint security, and identity and access management are the highest priority use cases for improving cybersecurity with AI in enterprises today. Source: Capgemini, Reinventing Cybersecurity with Artificial Intelligence: The new frontier in digital security.
Source: Capgemini, Reinventing Cybersecurity with Artificial Intelligence: The new frontier in digital security.
DOOR TIM OPGENHAFFEN. De wil van personen met dementie wordt vaak niet gerespecteerd. Vaak beslissen we in hun plaats omdat dit beter voor hen is. Of eerder, omdat wij dit beter voor hen vinden. Dit staat onder druk van het Gehandicaptenverdrag van de Verenigde Naties. Het is soms nodig om iets te doen wat een … Lees verder →