Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Securing AI: Why Vision Models Struggle with Transparency and Depth In this clip from "Securing AI, Part 4," A10 security expert Madhav Aggarwal highlights a fundamental challenge still faced by even the most popular AI vision models and chatbots: transparent objects. Madhav explains how these corner cases—situations that are obvious to a human but complex for a machine—can easily throw an AI model "completely off.".

From Model Drift to API Exploitation: The Next Challenge in AI Security In this clip from "Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI," Diptanshu Purwar and Madhav Aggarwal summarize why external guardrails are the only sustainable defense against the new wave of AI exploitation. Jamison Utter then sets the stage for the next topic in the series: securing the fundamental protocols and APIs that AI agents rely on.

Language Switching Attacks: The New Threat Vector in LLM Security In this clip from "Securing AI Part 4: The Rising Threat of Hidden Attacks in Multimodal AI," Diptanshu Purwar discusses the growing trend of language-switching attacks. These techniques exploit the ongoing development and training gaps in Large Language Models (LLMs). Diptanshu explains how attackers can evade an LLM's built-in filters and guardrails by rapidly shifting between different languages, particularly less common ones, to find weaknesses where the model's safety data is sparse.

In his talk from Black Hat USA 2025, A10 Networks security expert Jamison Utter challenges the conventional approach to security alerting and automation. He argues against the "magic AI" hype and champions a model where intelligent systems augment human analysts, rather than overwhelming them. Jamison highlights the critical process of filtering security data to deliver real value to the SOC team.

In this video segment from Securing AI Part 3: AI Agents – Use Cases and Security, A10 security experts, Jamison Utter, Diptanshu Purwar, and Madhav Aggarwal explore the topic of securing AI agents, which they define as systems that perceive, decide, and act. Diptanshu Purwar starts with a fundamental definition of an AI agent, clearly distinguishing it from a simple chatbot and setting the stage for the security challenges discussed in the series.

A10 security experts Jamison Utter, Madhav Aggarwal, and Diptanshu Purwar discuss the importance of context-aware security for AI agents.

A10 Networks security expert Jamison Utter breaks down the astonishing reality of modern internet traffic: over half of all traffic carriers' processes are no longer human—they're from headless systems, such as bots, crawlers, and AI.

In this video from Black Hat 2025, A10 Networks security expert Jamiso Utter explains the critical need to "futurize our defenses." He argues that many current cybersecurity solutions, such as firewalls and Regex, are built on decades-old technology, making them ill-equipped to handle today's emerging threats. Jamison highlights the problem with buying from companies whose "bottom line is more important than your bottom line," leading to a fragmented "best-of-breed" approach that ultimately adds complexity to a network.

As organizations adopt powerful AI agents for complex B2B workflow automation, securing their actions and ensuring compliance becomes paramount. A10 Networks' security expert, Diptanshu Purwar, explains the foundational need to integrate AI agents into existing governance platforms, which involves utilizing established enterprise security practices, such as role-based access and robust policy management, tailored explicitly for agents.

As AI agents increasingly automate complex B2B workflows, how do organizations ensure security and compliance? In this segment, A10 Networks' security experts, Jamison Utter, Diptanshu Purwar, and Madhav Aggarwal, dive into the critical steps for securing AI deployments. Diptanshu emphasizes the importance of integrating AI agents into existing governance platforms, leveraging systems such as role-based access control and policy management.