Claudio Garcia’s Post

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.

In this clip from Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI, Diptanshu Purwar and Madhav Aggarwal explain why external guardrails are essential for defending against bias, model drift, and emerging multimodal threats. Jamison Utter introduces the next focus in the A10 security series—API and application security for AI-enabled systems—where traditional and AI security intersect to protect the protocols that power intelligent applications.

The rise of agentic AI has made traditional security boundaries obsolete. Bad actors are using sophisticated automation to compromise static credentials at machine speed, turning your user identity into the ultimate attack vector. This isn't a future threat—it's happening now. And defending against it requires commitment to zero trust squared: verify everything, enforce least privilege, and implement micro-segmentation. Read Ayesha Dissanayaka’s new blog to discover how to modernize your defense against autonomous AI threats. Click to read: https://lnkd.in/gR-Phy8s

Marc Zissman shared how security leaders can be thinking about the threats to AI and how security concepts can be applied.