Adapting to the Changing AI Threat Landscape

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:

• Traditional vs. AI Firewall Security: Traditional security, including Web Application Firewall (WAF) based security, primarily focuses on rule-based pattern matching and filters. This approach typically inspects only the structure of the payload, not its contents. In contrast, an AI firewall examines the semantics of a prompt, essentially understanding natural language.
• Changing Attack Vectors: AI security and AI firewalls are adapting to new and emerging attack vectors. These can include, but are not limited to, prompt injection, jailbreaking, and various other forms of evasive attacks.

Learn more about securing AI and LLMs: https://bit.ly/4kOHmYd
Watch the full video: https://www.youtube.com/watch