Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

From Firewalls to AI: Understanding the Evolution of Cybersecurity The history of IT security has always been a journey of adapting to new threats. It started with simple firewalls to protect the "front door" and evolved to include endpoint, database, and Docker security. But what happens when the very intelligence you're building becomes a new kind of front door—and a new attack surface?

Securing AI Part 2: What Makes Protecting AI a Unique Challenge? In part 2 of our "Securing AI" series, security experts Jamison Utter, Diptanshu Purwar, and Madhav Aggarwal discuss the unique and evolving challenges of protecting AI systems, particularly Large Language Models (LLMs). They review why traditional security methods, like firewalls and simple behavioral analysis, fall short in a world where AI is dynamic, data-driven, and unpredictable.

Proactive Security: How ThreatX Protects Before an Attack Happens Carlo Alpuerto from A10 Networks highlights the core strengths of the ThreatX platform. He explains how ThreatX consolidates protection against WAF, API, DDoS, and bot attacks within a single, unified system. The platform's ability to use all of this information cumulatively is a key differentiator, allowing it to generate a risk score for specific entities and proactively protect against attacks, even during the initial reconnaissance and probing phases.

Context-Driven Guardrails: The Future of AI Security How do you protect AI and LLMs without slowing them down? A10 Networks' security experts Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar share why context-driven guardrails are the future of AI security.

A10's Hybridization Strategy and the Evolving ThreatX Platform In this video, A10's Carlo Alpuerto discusses the company's commitment to continuously evolving its security solutions, especially following the acquisition of ThreatX. He highlights that a key benefit of the acquisition is the significant amount of developmental and testing resources that A10 provides, which will drive the future of the ThreatX platform.

The Swiss Cheese Model of AI Security A10 Networks' security experts, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, explain that adequate AI security isn't a one-size-fits-all solution. They introduce the concept that security controls must be tailored to your specific data, company, and industry, as every context is unique.

The Data Problem: Why LLM Security Is So Complex Large language models are trained on terabytes of data, but what happens when that data is flawed? In this video, A10 Networks' security experts, Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar, discuss a critical, often-overlooked aspect of AI security: the training data itself. They explain that LLMs are inseparable from the data they're trained on, which means if the data contains biases, toxic content, or other vulnerabilities, those flaws are vulnerable to exploitation by attackers.

Securing AI and LLMs: A New Security Paradigm When interacting with AI tools like ChatGPT, it's clear that there's a thought process behind their responses. But what happens when an attacker hijacks that process? In this clip from "Securing AI Part 2: What Makes Protecting AI a Unique Challenge?", A10 Networks' security leaders — Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar — discuss this new security paradigm.

A10's Carlo Alpuerto speaks with Beau Hamilton from SourceForge discussing the high-level SaaS deployment of the ThreatX platform. He explains that with this model, the ThreatX SOC team handles the deployment and management on behalf of the customer, taking a significant load off their plates.

A10's ThreatX: API & Application Protection at the Edge A10's Carlo Alpuerto discusses how ThreatX provides comprehensive protection for APIs and applications at the edge. He explains that while the company offers a SaaS-first approach, the solution can be deployed on-premise, on a physical server, or in virtualized and cloud environments like AWS, Azure, and GCP.