Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Defending Against WAF, API, and DDoS Attacks In this SourceForge video, Carlo Alpuerto of A10 Networks shares insights on how ThreatX protects WAF, API, DDoS, and bot attacks, processing all the information within a single database. Alpuerto highlights the platform's ability to apply these protections and actionability, showcasing how users can create and manage specific rules. He also notes that the ThreatX security operations center (SOC) team curates these rules daily, utilizing threat intelligence, CVE notifications, and zero-day news to provide comprehensive, up-to-date protection.

ThreatX by A10 Networks: API Vulnerabilities and Attack Surface Management In this video, Carlo Alpuerto of A10 Networks discusses API security with Beau Hamilton of SourceForge. He explains that API security is a broad term that includes addressing vulnerabilities in the development cycle, which takes time and involves various stages like QA, staging, and UAT.

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 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 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.

Why Human Oversight is Crucial for AI A10 Networks' security leaders, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, delve into critical aspects of AI security, particularly concerning sensitive data and the role of human oversight.

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.

Staying Ahead of AI Threats: A CISO's Perspective In this insightful discussion, A10 Networks' security leaders —Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar —delve into the critical security challenges emerging with the widespread adoption of AI and Large Language Models (LLMs).

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 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.