Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

ChatGPT vs Cyber Threats: The REAL Role of AI in Cybersecurity

Unlock the truth about using Large Language Models (LLMs) in cybersecurity - are they the next big thing or just another trend? In this episode of Razorwire, your host, James Rees, brings together cybersecurity expert Richard Cassidy and data scientist Josh Neil to talk about the use of AI and large language models (LLMs) in cybersecurity and their role in threat detection and security. Join us for a discussion on the capabilities and limitations of these technologies, sparked by a controversial LinkedIn post.

Dive into AI and LLM learning with the new Snyk Learn learning path

Snyk Learn, our developer security education platform, just got better! We have expanded our lesson coverage and created a new learning path that covers the OWASP Top 10 for LLMs and GenAI, and is entirely free! As AI continues to revolutionize industries, ensuring the security of AI-driven systems has never been more critical.

Inside the Cloud: Unintended Privileges

This is the third article in a series about cloud-based attack vectors. Check out our last article about Cloud-Based ransomware! As Identity Access Management (IAM) becomes more complex, it becomes possible for an attacker to exploit the capabilities of legitimate permissions alone or in combination, escalating privileges and gaining potentially devastating levels of access. Because these privileges are legitimate, these attacks can be difficult to detect until the damage is already done.

CrowdStrike Drives Cybersecurity Forward with New Innovations Spanning AI, Cloud, Next-Gen SIEM and Identity Protection

Today’s threat landscape is defined by adversaries’ increasing speed and quickly evolving tactics. Now more than ever, it is imperative organizations unify and accelerate their security operations to detect, identify and respond to threats at the rapid pace of the adversary. This isn’t always straightforward.

The Evolution of CASB: How Cloud Security Has Changed Over the Years

Since organizations use cloud computing for their commercial goals, data storage, and improvement of collaboration, protecting these services has become a significant concern. Current security solutions developed for premise-based environments are insufficient for today's cloud-first world.

Why DAST/IAST products are inadequate against finding API vulnerabilities

During our various customer interactions, customers using Dynamic Application Security Testing (DAST) or Interactive Application Security Testing (IAST) often ask how AppSentinels solution is different compared to their existing tool: The core difference is AppSentinels API Security Platform understands the context of the Application it is protecting while DAST/IAST products unfortunately don't. Let me explain why I am saying this and why this is important.