Webinar

Securing the AI Storage Layer ​

Protect What AI Reads​

The files in your storage are the knowledge base your AI reads, trusts, and acts on. Copilots and RAG (Retrieval-Augmented Generation) pipelines connect directly to SharePoint, Amazon S3, and Azure Blob. Most AI security strategies focus on access controls and model guardrails. Learn how compromised files can manipulate AI responses, expose sensitive data, and undermine business decisions; even when your models remain secure.

DATE: August 26, 2026
TIME: 10:00 AM SGT | 11:00 AM CEST | 2:00 PM EDT
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99%

Of Organizations

have sensitive data dangerously exposed to AI tools, including gen AI copilots and unsanctioned apps
(Source: Varonis, 2025)

90%

Attack Success Rate

from injecting just 5 malicious texts into a 2.6M document knowledge base
(Source: PoisonedRAG Research,
USENIX Security 2025)

74%

Of Security Leaders

admit agents receive more access than necessary
(Source: Cloud Security Alliance, 2026)

What You Will Learn

Most AI security programs secure the model and control who can access data. This session focuses on securing the files your AI reads.

File Storage Is Now an AI
Attack Surface

Malware, poisoned documents, and untagged sensitive data become active risks once AI connects to storage. Researchers demonstrated that inserting only five malicious documents into a 2.6 million-document knowledge base achieved a 90% attack success rate against Retrieval-Augmented Generation (RAG) systems.

Why Existing Defenses
Miss It

Files are scanned at upload, then rarely again. Access controls decide who reaches them, guardrails act after they are read, and none of it inspects the file itself. Independent research shows existing detection tools often miss malicious polyglot files, identifying only 30 real-world samples across 15
attack chains
(Association for Computing Machinery, 2025)

What Good AI Storage
Security Looks Like

MetaDefender™ Storage Security verifies files across SharePoint, Amazon S3, and NAS before they are used by AI applications. Metascan™ uses 30+ anti-malware engines, while Deep CDR™ Technology, Proactive DLP™, and Adaptive Sandbox analysis help ensure trusted, compliant data for RAG pipelines and AI copilots.

Featured Speakers

Loredana Sabau
Product Manager, OPSWAT
Headshot of Jason Hill, Senior Solution Engineer at OPSWAT
Jason Hill
Senior Solution Engineer, OPSWAT

Find Out What Your Storage Is Feeding Your AI

Your AI already trusts thousands or millions of files. Learn how to ensure they're safe before they influence AI decisions.