Companies deploying AI agents to automate business tasks may be exposing sensitive data through security gaps that traditional tools were never designed to close, according to a webinar announcement from Airia.
The core problem, as the announcement frames it: AI agents operate autonomously, executing tasks like sending emails, moving files, and managing software — often with broad system access and without the identity controls applied to human workers. That autonomy, the company says, is exactly what attackers are now exploiting.
Rather than cracking passwords, the argument goes, adversaries are finding ways to manipulate AI agents into performing actions on their behalf. The agents do the work. The attacker stays invisible.
The Attack Surface Nobody Audited
Security infrastructure built around human users does not translate cleanly to agentic workflows. An AI agent with access to sensitive systems has no badge, no login history in the traditional sense, and no muscle memory that flags something as “off.” It simply executes.
The webinar, titled Beyond the Model: The Expanded Attack Surface of AI Agents, will be led by Rahul Parwani, Head of Product for AI Security at Airia. The session is positioned toward business leaders and IT professionals rather than security engineers — the announcement specifically notes that no coding knowledge is required.
The framing is deliberate. Decisions about AI adoption often happen at the business level, well before security teams fully map what access those deployments carry.
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What the Session Covers
- How attackers are targeting AI agents through vectors outside the model itself
- Where existing security controls fail against automated, agentic threats
- Practical steps to audit and tighten those exposures
Parwani is expected to walk through real-world attack paths, not theoretical ones — a distinction the announcement emphasizes by describing the session as a “practical deep dive.”
The broader issue the webinar points to is one of timing. AI agent adoption has moved faster than the security frameworks meant to govern it. Businesses that have automated workflows may not have mapped what data those agents can reach, what systems they can touch, or what instructions they can be tricked into following.
That gap, according to Airia, is where the exposure lives — not inside the AI model, but in everything surrounding it: the permissions, the integrations, the workflows, and the absence of monitoring built for non-human actors.
The session is described as free to attend and open to anyone with responsibility for data security, regardless of technical background.
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This article is a curated summary based on third-party sources. Source: Read the original article
