Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What starts as innovation (an employee testing a new AI tool) can quickly become exposure. Unsanctioned apps create data leaks, compliance issues, and an expanded attack surface. With UpGuard User Risk, security teams gain visibility into shadow AI activity, so they can detect and neutralize risks before they escalate into breaches. activity before attackers can act. Ready to see what User Risk can do for you?

In this video, I walk through how to add MCP servers to Google Gemini, covering both the CLI setup and Code Assist integration. Whether you’re just getting started with Gemini or want to extend its capabilities with MCP servers, this step-by-step guide will get you up and running.

The Swiss Cheese Model of AI Security A10 Networks' security experts, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, explain that adequate AI security isn't a one-size-fits-all solution. They introduce the concept that security controls must be tailored to your specific data, company, and industry, as every context is unique.

GPT-5 Realizes its Mistake...

Can GPT-5 Write SAFE Code?

The Data Problem: Why LLM Security Is So Complex Large language models are trained on terabytes of data, but what happens when that data is flawed? In this video, A10 Networks' security experts, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, discuss a critical, often-overlooked aspect of AI security: the training data itself. They explain that LLMs are inseparable from the data they're trained on, which means if the data contains biases, toxic content, or other vulnerabilities, those flaws are vulnerable to exploitation by attackers.

On this episode of the Cybersecurity Defenders Podcast we speak with Peter Ruta, Founder / CEO, Arcanna.ai.

In this demo, we will look at three different use cases for the AI Security Assistant including general security knowledge, ticket context and data visualization.