Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI chatbots are getting smarter – but what happens when you control what they remember? In this video, I’ll show you step-by-step how AI memory can be manipulated, how that changes the way it responds, and the hidden risks this creates for both users and developers.

Fixing Outdated Code from Claude Opus 4.1 & GitHub Copilot.

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.

Claude Opus 4.1 and Github Copilot Causes a Coding Error.

When your AI agents go awry, rewind those changes easily with Agent Rewind from Rubrik. As AI agents gain autonomy and optimize for outcomes, unintended errors can lead to business downtime. Agent Rewind will enable organizations to undo mistakes made by agentic AI by providing visibility into agents' actions and enabling enterprises to rewind those changes to applications and data. We’ve integrated Predibase's advanced AI infrastructure with Rubrik's recovery capabilities to enable enterprises to embrace agentic AI confidently.

New research shows how attackers could hijack Google's Gemini AI through a simple calendar invite to control smart lights, shutters, and even boilers. The key insight from our latest podcast is that it's not about the AI vulnerability, it's about network segmentation. The real lesson? Don't give AI systems direct access to your physical devices. The simple fix is to segment your IoT devices on separate networks.

Adapting to the Changing AI Threat Landscape In this video, A10 Networks' security leaders, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, discuss the evolving security risks associated with AI and Large Language Model (LLM) adoption, as well as what organizations must do to stay protected. Diptanshu Purwar outlines key shifts in the approach to AI security.