Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

By James Rees, MD, Razorthorn Security Times must change (and always will) and nowhere is this more true than in the realm of technological advancement. Thirty years ago, the technological landscape was vastly different from what we have today and technological change has outpaced Moore’s Law for some time now. Information security must keep pace with these advancements. This has become especially true with the advent of AI.

Worried about GitHub Copilot’s security and privacy concerns? Learn about potential risks and best practices to protect yourself and your organization while leveraging AI.

After speaking to a wide spectrum of customers ranging from SMBs to enterprises, three things have become clear: Add that together, and we get Shadow AI. This refers to AI usage that is not known or visible to an organization’s IT and security teams. Shadow AI comes in many forms, but in this blog we’ll stick to a discussion of Shadow AI as it pertains to applications. Application security teams are well aware that AI models come with additional risk.

In this age of digital supremacy, keeping our data safe and respecting privacy are super important. As more and more people and businesses use online platforms, it’s crucial to understand what types of data need that extra layer of protection, especially when it comes to PII vs PHI vs PCI. Understanding the distinctions between PII (Personally Identifiable Information), PHI (Protected Health Information), and PCI (Payment Card Information) is crucial.

Striking the right balance between innovation using Artificial Intelligence (AI) and Large Language Models (LLMs) and data protection is essential. In this blog, we’ll explore critical strategies for ensuring AI and LLM data security, highlighting some trade-offs.

As artificial intelligence (AI) continues to revolutionize various sectors, ensuring it is developed and deployed in alignment with ethical standards and fundamental rights is critical for businesses that use it. The European Union's Artificial Intelligence Act (AI Act), formally adopted on March 13, 2024, addresses this critical necessity by establishing a comprehensive and detailed legal framework for AI systems within the EU.

Snyk Code was the only code security tool shortlisted by developers as an AI tool they’ve been regularly using this past year or are looking forward to using next year in Stack Overflow’s recent 2024 AI Search and Developer Tools survey. This underlines Snyk’s dominance as the favorite AI security tool of both developers and security teams and confirms that Snyk Code is providing immense value to developers.