Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As businesses access larger and more intricate datasets, data discovery has become a key component in successful data analysis. By uncovering meaningful patterns and insights in datasets, data discovery helps organizations better understand their customers, products, and processes to enable optimum decision-making. With the correct tools and strategies, data discovery can be invaluable in helping organizations maximize the value of their data.

Companies need to measure performance in all areas of operations to check whether they are proving cost-effective and achieving the desired results. One of the best ways for security managers to demonstrate that their security operations program is aligned with business objectives is to use metrics that demonstrate efficiency and effectiveness.

Read also: two cybercriminals charged with a 2022 US law enforcement database hack, scammers are stealing money and data on the collapse of Silicon Valley Bank, and more.

We know that most security teams today handle a backlog of thousands of vulnerabilities. We also know that not all of these vulnerabilities pose a significant risk to your organization, whether or not they have a high severity score or are present on a business-critical asset. We’ve spoken with dozens of security teams over the last few months and have learned that filtering vulnerabilities across several factors is critical to accelerating remediation.

Since OpenAI released its AI chatbot software ChatGPT in November of 2022, people from all over the internet have been vocal about this program recently. Whether you love this software or despise it, the bottom line on it seems to be that the technology behind ChapGPT isn’t going anywhere. At least not in the near-to-distant future, it seems. Those who have been curious can try out this enhanced conversational AI software, have found that their results are often varied when using ChatGPT.

‍ In my previous blog, I shared details about the global proliferation of data privacy regulations, including the fact that at least 10% of U.S. states will be covered by stronger data privacy regulations by the end of 2023. However, an interesting trend has emerged: Newer regulations such as the California Privacy Rights Act (CPRA), General Data Protection Regulation (GDPR), and Brazil’s Data Protection Law (LGPD) all regard employees’ personal data as highly-sensitive.

A selection of this week’s more interesting vulnerability disclosures and cyber security news. For a daily selection see our twitter feed at #ionCube24. With the big news of a crucial tech industry bank in the last week, its no surprise that fraudsters are jumping on the interest in news articles. Here we go again…