From Model Drift to API Exploitation: The Next Challenge in AI Security
From Model Drift to API Exploitation: The Next Challenge in AI Security
In this clip from "Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI," Diptanshu Purwar and Madhav Aggarwal summarize why external guardrails are the only sustainable defense against the new wave of AI exploitation. Jamison Utter then sets the stage for the next topic in the series: securing the fundamental protocols and APIs that AI agents rely on.
The Way Forward for AI Security
- External Guardrails are Critical: Because internal LLM defenses can suffer from model drift and are difficult to update against new multilingual and multimodal attacks, an external system is needed to monitor all inputs and outputs.
- Third-Party Neutrality: Madhav emphasizes that this external defense should be provided by a third party to ensure there is no creeping bias in the design of the guardrails, guaranteeing a truly robust defense.
- Securing the AI APIs: The next crucial step toward securing AI is to focus on the protocols and systems (APIs and AI APIs) that agents use to perform their actions. Traditional security tools must be blended with AI-specific security to ensure the transport layer itself is secure, regardless of the data being transmitted.
Watch the full episode for a deep dive into securing AI agents against multimodal attacks, language switching, and model drift.
Jamison Utter | A10 Networks
Madhav Aggarwal | A10 Networks
Diptanshu Purwar | A10 Networks
Learn how to secure AI and LLMs in your organization: https://bit.ly/4kOHmYd
#externalguardrails #aisecurity #llmsecurity #cloudsecurity #a10networks #aiagent #adversarialattacks #modeldrift #aiexploitation #apisecurity