Is Application Security Dead in the AI Age? Rethinking Security for Agentic Applications
The rapid rise of generative AI and agentic architectures has rendered traditional application security paradigms increasingly obsolete. As enterprises rush to integrate AI into their workflows, they face a new attack surface defined not by static code, but by dynamic reasoning, autonomous behavior, and untrusted inputs and outputs. In this webinar, Straiker's Head of AI Security Engineering unpacks how AI’s multi-dimensional disruption is forcing a redefinition of what it means to secure applications. We’ll explore how agentic systems—LLM-powered chatbots, AI copilots, and autonomous agents—introduce risks that legacy AppSec tools were never built to address. Attendees will leave with a clear framework for thinking about AI-native security and how to shift from code-centric protection to runtime behavioral guardrails.
The rapid rise of generative AI and agentic architectures has rendered traditional application security paradigms increasingly obsolete. As enterprises rush to integrate AI into their workflows, they face a new attack surface defined not by static code, but by dynamic reasoning, autonomous behavior, and untrusted inputs and outputs. In this webinar, Straiker's Head of AI Security Engineering unpacks how AI’s multi-dimensional disruption is forcing a redefinition of what it means to secure applications. We’ll explore how agentic systems—LLM-powered chatbots, AI copilots, and autonomous agents—introduce risks that legacy AppSec tools were never built to address. Attendees will leave with a clear framework for thinking about AI-native security and how to shift from code-centric protection to runtime behavioral guardrails.
