Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Why Data Unification is a Major Challenge for Enterprises

Why Data Unification is a Major Challenge for Enterprises In this SourceForge video, Carlo Alpuerto of A10 Networks identifies a significant challenge in cybersecurity: the unification of data. He explains that while the goal is for systems to feed one another, many solutions are "Frankensteined together," making it difficult to achieve this integration.

Defending Against WAF, API, and DDoS Attacks

Defending Against WAF, API, and DDoS Attacks In this video from SourceForge, Carlo Alpuerto of A10 Networks explains the "outside-in" protection philosophy behind ThreatX. He uses the metaphor of a castle wall, stating that the defense focuses on who and what is attacking it, rather than what is behind it. Alpuerto details the flexibility of the A10's ThreatX solution, which can be deployed in various hybrid scenarios, including on-premise physical or virtual environments, as well as different cloud environments like AWS, Azure, and GCP.

AI in Healthcare: Navigating Data Privacy and Medical Advice

AI in Healthcare: Navigating Data Privacy and Medical Advice In this video, A10 Networks security experts Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar explore the critical security challenges of deploying AI and Large Language Models (LLMs). They focus on protecting sensitive data—especially in areas such as healthcare—and offer key insights on how organizations can effectively secure these powerful technologies.

Defending Against WAF, API, and DDoS Attacks

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.

API Vulnerabilities and Attack Surface Management

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

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.