Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

With hundreds of contributors, the MITRE ATT&CK Framework has become a vital resource of open source knowledge for the security industry. CISOs and cybersecurity professionals around the globe rely on the framework to increase their understanding about different cyber-attack tactics, techniques and procedures (TTPs). With insights about TTPs relevant to their specific platform or environment, organizations gain tremendous value to combat cyber threats.

Cloud adoption and use in corporate environments are rising, and its future looks bright. Business spending on Cloud services indicates this upward trend, as it increased by 29% in the second quarter of the year compared to the same period last year. Cloud migration has ushered in changes to regulations to consolidate data security according to the nature of the business.

Read some of the highlights from CloudNativeSecurityCon 2023, the first-of-its-kind in-person event, grown from the conversations of the community on the front lines of open source security.

More and more companies are using more and more open source. The stats I’ve seen say seventy to seventy-five percent of all applications use open source or have some type of open source associated with them. I think that number is actually higher. Of all the companies that I’ve worked for, just about every single application has some type of open source associated with it.

Audits are challenging. Especially when it comes to assessing abstract compliance standards against multiple cloud environments, unique cloud infrastructure setups, and many possible (mis)configurations. To help our customers automate compliance assessments, Snyk Cloud now supports 10+ compliance standards— including CIS Benchmarks for AWS, Azure, and Google Cloud, SOC 2, PCI DSS, ISO 27001, HIPAA, and more.

In recent years, the world of artificial intelligence (AI) has seen a significant increase in the use of language models. ChatGPT, a language generation model developed by OpenAI, has been making waves in the news with its ability to process large amounts of data, which can be used to train machine learning models and to test them. One feature that’s grabbed headlines is its ability to write code and provide feedback on the accuracy and efficiency of code.