The General Data Protection Regulation (GDPR) is a set of privacy and security standards put into effect by the European Union (EU). Widely accepted as the world's strictest security and privacy law, GDPR imposes regulations on organizations that target or collect data relating to people in the EU. European Parliament signed GDPR into law in 2016, requiring all organizations to comply by May 2018.

The ransomware, malware and phishing attacks going on in the healthcare industry are quite alarming these days. The customers' data in the healthcare industry is more sensitive than in most industries, and this has proven to be a sweet spot for threat actors. Recent research by Infloblox reported that in 2022, there were over 546 major data breaches due to malicious activity. This follows a 4% increase over the 521 major data breaches reported by healthcare institutions in 2023.

How many security products does it take to monitor an organization? Even a small company often finds itself working with multiple monitoring tools to gain visibility into its security posture. This creates multiple blind spots, as a security analyst needs to jump between different tools with different formats and configurations to research a security incident. Adding to this problem is that the reporting from each tool usually differs, making the creation of a uniform report a chore.

New rules requiring publicly-listed firms to disclose serious cybersecurity incidents within four days have been adopted by the US Securities and Exchange Commission (SEC). The tough new rules, although undoubtedly well-intentioned, are likely to leave some firms angry that they are being "micromanaged" and - it is argued - could even assist attackers.

Large data can offer a massive affordable advantage for companies. Scientists, information analysts, marketing professionals, and advertisers rely upon receiving valuable insights from substantial pools of consumer information. When examined correctly, this information can provide valuable insight for organizations that understand how to use it. The regular procedure of gathering and arranging massive datasets can be taxing, as well as resource-intensive.

Machine learning (ML) is a subset of Artificial Intelligence (AI), which enables machines and software to automatically learn from historical data to generate accurate output without being programmed to do so. Many leading organizations today have incorporated machine learning into their daily processes for business intelligence. But the ability of machine learning can be altered by threat actors to be malicious, causing systems to malfunction, or to execute an attack.

For the longest time within the cybersecurity industry, we have had Chief Information Security Officers (CISOs) whose role is to set the strategic direction for Information Security within an organisation. But what are the stepping stones to becoming a CISO? In the past, this has been a difficult question to answer, but typically the CISO is someone who moved up through the ranks in IT and developed additional knowledge and skills related to data protection, privacy and risk management.

In our increasingly digital world, global communications and financial interactions are nigh inescapable for anyone in any industry or walk of life. The infrastructure in place for international transactions is complex and layered, containing moving parts that work in tandem to make things like transferring money nearly seamless.

A few years back, data was constrained to the on-premise infrastructure. Data management, governance, and protection were fairly uncomplicated in this enclosed environment. The emergence of cloud computing and multi-cloud infrastructures has not only introduced more complexity in data management and governance, but it has also increased security risks significantly.

Human error is a major contributing factor to company data breaches. More than 340 million people may already have been affected by a data breach in the first four months of 2023. With cybercrime rates soaring around the world, it’s clearly an area where investment and expertise are required.