Software vulnerability detection ... and machine learning have enabled the development of automated tools that analyse both the semantic and structural aspects of source code.

Rate limiting plays a major role in application security, especially when it is about defending web applications from malicious bot attacks, credential stuffing, brute force attacks and excessive API ...

CVE-2025-24016, a critical remote code execution vulnerability affecting Wazuh servers, has been exploited by Mirai botnets.

Zero-day cyberattacks pose unique challenges for IT organizations, due in large part to their inherent novelty. Verizon’s ...

Open-source AI is shaping the future of cybersecurity innovation, consistently breaking down barriers and delivering results.

Large language models have taken a big step forward in their ability to help chase down code flaws, said vulnerability ...

The investing world has a significant problem when it comes to data about small and medium-sized enterprises (SMEs). This has nothing to do with data quality or accuracy — it’s the lack of any data at ...

Coding in 2025 isn’t about toiling over fragments or spending long hours on debugging. It’s a whole ’nother vibe.

In the world of machine learning and artificial intelligence, clean data is everything. Even a small number of mislabeled ...

Lenders who utilize machine learning-based automations through LPA save money, have shorter cycle times and have greater customer satisfaction, according to a recent analysis. A fully digitized ...

I, therefore, prefer using ... not for source control and collaboration. It's here I should note this article describes what you need to do to let your code be examined by ChatGPT Deep Research.