Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Data Problem: Why LLM Security Is So Complex

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.

Unveiling Intrusions: Corelight NDR and CrowdStrike EDR in Action

Adversaries are deliberately attacking devices that are difficult to monitor with EDR. In this video, you’ll see how you can use Corelight’s Network Detection & Response (NDR) inside of CrowdStrike Falcon to paint the full picture of an intrusion. NDR gives defenders the visibility they need to find intrusions on unmanaged devices of any type.

Securing AI and LLMs: A New Security Paradigm

Securing AI and LLMs: A New Security Paradigm When interacting with AI tools like ChatGPT, it's clear that there's a thought process behind their responses. But what happens when an attacker hijacks that process? In this clip from "Securing AI Part 2: What Makes Protecting AI a Unique Challenge?", A10 Networks' security leaders — Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar — discuss this new security paradigm.