Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Today, we are excited to announce a significant milestone in our journey to secure enterprise copilots and low-code development platforms by launching our new product; the Zenity AI Trust Layer. This new offering provides full security and governance control for enterprise copilots, and in the first step is focused on Microsoft 365 Copilot. The use of enterprise copilots is undeniably a story in low-code application development.

In today’s fast-moving threat landscape, Hyperautomation is essential. But building workflows from scratch? That’s time you don’t have. That’s why we started with a library of pre-built templates, helping teams quickly configure security automation workflows. Templates made automation more accessible. Now, we’re taking the next step in that evolution and introducing Torq’s AI Workflow Builder. By harnessing the power of AI, we’re going beyond templates.

Since the technological “birth” of Artificial Intelligence and ChatGPT, many people are wondering what on earth they would do without AI in their lives. Since July 2024 ChatGPT has had 200 million weekly active users worldwide and attracted nearly 2.5 billion site visitors. However, ChatGPT is not the only AI out there.

Foundationally, the OWASP Top 10 for Large Language Model (LLMs) applications was designed to educate software developers, security architects, and other hands-on practitioners about how to harden LLM security and implement more secure AI workloads. The framework specifies the potential security risks associated with deploying and managing LLM applications by explicitly naming the most critical vulnerabilities seen in LLMs thus far and how to mitigate them.

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.

Following the Sysdig Threat Research Team’s (TRT) discovery of LLMjacking — the illicit use of an LLM through compromised credentials — the number of attackers and their methods have proliferated.

Generative AI (GenAI) has the power to transform organizations from the inside out. Yet many organizations are struggling to prove the value of their GenAI investments after the initial push to deploy models. “At least 30% of GenAI projects will be abandoned after proof of concept by the end of 2025, due to poor data quality, inadequate risk controls, escalating costs or unclear business value,” according to Gartner, Inc.

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.