Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

With the proliferation of AI/ML enabled technologies to deliver business value, the need to protect data privacy and secure AI/ML applications from security risks is paramount. An AI governance framework model like the NIST AI RMF to enable business innovation and manage risk is just as important as adopting guidelines to secure AI. Responsible AI starts with securing AI by design and securing AI with Zero Trust architecture principles.

In the ever-evolving terrain of artificial intelligence, OpenAI's LangGraph is making waves by introducing a groundbreaking approach to code generation and analysis. With the prominence of tools like GitHub Co-Pilot and the popularity of projects such as GPT-engineer, the demand for innovative solutions in this domain has never been higher. LangGraph aims to meet this demand by leveraging a flow paradigm inspired by recent advancements like AlphaCodium to enhance the efficiency of code generation.

The latest example of an advanced persistent threat exploiting a legitimate cloud service to deliver a malicious payload was recently unearthed by researchers at Trend Micro.

Today we are excited to announce Magic Cloud Networking, supercharged by Cloudflare’s recent acquisition of Nefeli Networks’ innovative technology. These new capabilities to visualize and automate cloud networks will give our customers secure, easy, and seamless connection to public cloud environments.

The Linux kernel is the heart of many modern production systems. It decides when any code is allowed to run and which programs/users can access which resources. It manages memory, mediates access to hardware, and does a bulk of work under the hood on behalf of programs running on top.

In June 2023, we told you that we were building a new protocol, MASQUE, into WARP. MASQUE is a fascinating protocol that extends the capabilities of HTTP/3 and leverages the unique properties of the QUIC transport protocol to efficiently proxy IP and UDP traffic without sacrificing performance or privacy.