Have you ever found yourself worrying about the safety of your data? In the contemporary digital-first world, where cyber threats only seem to be growing more sophisticated, such concerns hardly come as a surprise.
Applications of machine learning have grown exponentially over the past few years and with it, the possibilities of malicious attacks targeting it through any vulnerabilities present.
Large language models have gained immense popularity among web users today owing to the generation of human-like text responses. However, as with any technology, LLM is not without its risks and safety issues.
The AWS cloud platform is one of the most used cloud platforms in the world. It gives companies a level of flexibility with its myriad of uses but it is not without its own challenges, namely, maintaining security.
CVE-2023-2825 vulnerability is a recently discovered vulnerability in GitLab. It allows unauthorized access to GitLab repositories to read arbitrary files. This post will discuss further details of the vulnerability, its location, discovery, and how the Astra scanner scans for it.
In 2021, unauthorized access was responsible for 43% of data breaches. Among the data breaches that did not involve an error, misuse of privilege, or physical action, 62% were a result of stolen credentials. This Blog Includes show Password Security Statistics Password Reuse Statistics Password Sharing Statistics Password Management Statistics Password Breach Statistics What is a strong password? Conclusion FAQs How can a password be stolen? What should I do if my password manager is hacked?
Being one of the world’s largest cloud platforms comes with its own set of challenges. In the case of AWS, the major challenge is maintaining their platform’s security.
