Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

The momentous rise of AI continues, and more and more customers are demanding concrete results from these early implementations. The time has come for tech companies to prove what AI can do beyond adding conversational chat agents to website sidebars. Fortunately, it’s easy to see how cloud data protection has already benefited from advancements in AI and ML. Headline-grabbing large-language models are also making protecting data in the cloud easier to manage across organizations. ‍