When you think about the must-have capabilities for organizational cybersecurity, spotting attacks and rapidly taking action to prevent them is at the top of the list. It’s almost as important, though, to pay attention to the flip-side of that proposition — and ensure your cybersecurity tools are able to identify risky behavior without flagging harmless activity as potentially malicious.
Getting a career in information technology (IT) sector is generally something that can ensure that you would always have some kind of gainful employment that you can end up relying on, and the good news here is that you can always figure out which field would be the best for you to enter based on how fast it is growing.
In my decades of cybersecurity and business leadership, I found several truths to be self-evident. When it comes to managing a successful business, a variety of stakeholders have certain expectations.
Cybersecurity awareness by global consumers is still concerningly low, according to a new survey by IBM Security. This trend will greatly impact businesses relying on digital engagement to consider how this will affect their cybersecurity risk profiles.
That is according to a survey by Risk Based Security, which found that the number of records exposed reached a staggering 36 billion in the first three quarters of 2020 alone. The most exposed data types included access credentials in the form of email addresses and passwords.
If you use such social media websites as Facebook and Twitter, you may have come across posts flagged with warnings about misinformation. So far, most misinformation – flagged and unflagged – has been aimed at the general public.
By objective measures, enterprises just aren’t getting their money’s worth out of their cybersecurity spending. In a fast-paced economic and cyber threat landscape, organizations often buy new technology solutions without being able to fully assess their efficacy and then are forced to move on to new issues and problems before they can make the tools they already have fully effective.
Cybersecurity technology has experienced a tremendous surge in consumer interest in 2021 that has shown no signs of slowing down. The trend is largely because developers are introducing numerous innovations in this realm, at a pace that meets market demand.
Cybersecurity is essential as it protects all forms of data and information, like sensitive data, personally identifiable information (PII), protected health information (PHI), intellectual property, personal information, and government and industrial information systems.
For many businesses, remote working has become a normal practice. Working away from the office had been on the rise for the past few years, but many organisations were pushed to begin embracing it from March 2020.
A flurry of new threats, technologies and business models have emerged in the cybersecurity space as the world embraced a remote work model where there’s no network perimeter and more applications and data in the cloud than ever before.
Cybersecurity is the art of protecting people and organizations against the malicious intent of hackers trying to gain access to their systems. The rise in digital applications, IoT, Big data, etc., has created a large amount of data that call out for robust cybersecurity measures.
Every time there’s another massive cybersecurity breach, which like SolarWinds finds its roots in a security issue at a third party, policymakers and security experts ask, “Where do we go from here?”
Cybersecurity workforce minimally impacted by pandemic, but still grappling with persistent hiring challenges
The pandemic’s disruption has rippled across the globe, impacting workforces in nearly every sector. However, according to the findings from the State of Cybersecurity 2021 Part 1 survey report from ISACA in partnership with HCL Technologies, the cybersecurity workforce has largely been unscathed, though all-too familiar challenges in hiring and retention continue at levels similar to years past.
AI and machine learning allow companies to implement predictive analytics tools, which help them identify network anomalies, detect malware, and potentially detect fraud through user behavior patterns.