Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

LLMs as Compression Systems: Security Implications

LLMs as Compression Systems: Security Implications In this video, A10 Networks' security leaders Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar discuss the evolving security landscape in the age of AI and Large Language Models (LLMs). Madhav Aggarwal highlights a crucial aspect to understand about LLMs and their security implications.

AI and Compliance: Preventing Personally Identifiable Information Leakage

AI and Compliance: Preventing PII Information Leakage In this video, A10 Networks' security leaders, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, delve into the growing security risks associated with the adoption of conversational AI bots and Large Language Models (LLMs), particularly in sensitive fields such as healthcare. Diptanshu Purwar highlights several key concerns.

Evaluating AI Security: Performance vs. Safety

Evaluating AI Security: Performance vs. Safety In this video, A10 Networks' security leaders Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar discuss the crucial considerations for evaluating AI security within an organization. Madhav Aggarwal emphasizes the following points: AI companies operating in this evolving frontier. It is often difficult to attain both through the same AI model. This segment delves into why achieving both can be a complex task through the same model.

Security is a Critical Factor in AI Adoption

Security is a Critical Factor in AI Adoption Jamison Utter joins A10's GenAI experts Madhav Aggarwal and Diptanshu Purwar to discuss the critical importance of security for AI adoption. They cover how AI fundamentally shifts the attack surface, requiring a move from traditional rule-based pattern matching to understanding natural language semantics. The team emphasizes the need for alignment in AI to ensure models are "helpful, harmless, and honest" (the 3H philosophy) and highlights the role of red teaming and guardrails in preventing vulnerabilities, such as prompt injection.

Securing AI-Generated Code: Why It Matters

Securing AI-Generated Code: Why It Matters In this video, A10's Madhav Aggarwal explains how using AI for coding is an excellent use case, but the code generated by AI must be safe and secure. As AI and large language models (LLMs) become central to enterprise strategy, securing these powerful workloads is no longer optional—it's essential. A10 Networks' security leaders, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, explore the growing security risks associated with AI/LLM adoption and what organizations must do to stay protected.

Accelerate Enterprise Agility with Flexible Licensing

Accelerate Enterprise Agility with Flexible Licensing Agility starts with infrastructure that adapts to your business. In this video, see how A10 Networks helps you stay ahead with high-performance application delivery and flexible deployment options across any environment – physical, virtual, and cloud.

Protecting Digital Transactions with API and Web Application Security

Protecting Digital Transactions with API and Web Application Security In this video, A10 Networks' Jamison Utter and Gary Wang discuss why a different approach to security is required beyond purely transactional-based protection and detection. They delve into how entity-based tracking helps address the challenges of legitimate-looking requests that carry malicious intent, particularly in the context of Application programming interfaces (API) security and advanced threats, such as Layer 7 DDoS attacks.