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The government is taking on cybersecurity matters with gusto and leading the charge with some pretty heavy hitters like Amazon, IBM, Apple and Google. Not to mention, the latest cybersecurity initiative involving the private sector follows two mandates addressing the improvement of cybersecurity of the federal government and enhancing cybersecurity measures of critical infrastructure. It’s the momentum that the cybersecurity industry loves to see.
In recent years, we have seen increased interest and adoption of machine learning (ML) and artificial intelligence (AI) technology in healthcare. Organizations have been piloting solutions that range from helping diagnose patients, to ensuring the privacy of their data. While the industry is beginning to see some benefits from these tools, many end-users are starting to ask important questions like: How does the tool work, or Where are my data stored?
The National Institute of Standards and Technology (NIST) has released a request for information for the NIST Privacy Framework: An Enterprise Risk Management Tool ("Privacy Framework").1 The purpose of the privacy framework is to improve management of privacy risk, which is a major gap across healthcare organizations today.
Often when discussing common healthcare security threats, external breaches are the main focus. However, recent evidence shows those breaches are not the biggest concern to hospitals – they’re more concerned with breaches that can happen within their own halls, by their own internal staff. HIMSS Media recently conducted a study on behalf of SailPoint, and the consensus was that healthcare provider organizations are highly concerned with insider threats.
A recent ProPublica article highlighted how small-scale medical privacy breaches are causing harm across the nation. The impact of small-scale breaches is immense, but seems to garner comparatively little coverage as most data breach headlines focus on large-scale breaches involving hundreds if not thousands of medical records.
Gartner, Inc. recently released their “Market Guide for User and Entity Behavior Analytics”. Gartner provides an interesting take on a very hot topic in the security space across all industries in the modern day.
Enterprise organizations around the world rely on third-party software applications to keep their businesses running both securely and efficiently. These necessary relationships between enterprises and vendors, however, are known to be risky because they are a top attack vector for hackers.
Multi-factor authentication (MFA) is talked about, and used, a lot in our day-to-day lives. A classic example of using MFA is a debit card. Not only do you need the physical card, but you also have to enter a personal identification number (PIN) to use it when checking out at a store, or when taking money out of the ATM.
A network security audit is essential to ensure sensitive data is protected from hackers and unauthorized third parties. It can isolate security threats and prevent data breaches, allowing you to plug holes, restrict network access, and improve your company’s network surveillance. Here we outline the 5 keys to preparing for a successful audit.
These days, having cyber insurance that covers a company for costs related to cyberattacks is an expected standard corporate practice. It is the last in the line of risk mitigation tools that lessens or defers your company’s cyber risk.