Data Exfiltration Testing
When an AI assistant can be manipulated, the attacker's next question is how to get data out. The most effective channels require no click from the victim at all: the application itself carries the data to the attacker. We map every egress path in your AI features and demonstrate which ones a real attacker could use to walk away with confidential data.
What We Test
Rendered content: Whether chat output can embed images, links, or other remote content that sends data to an attacker's server when displayed, including the zero-click patterns demonstrated against major commercial AI products.
Link and preview behavior: Whether secrets can travel in URLs and leak through automatic link previews.
Tool egress: Whether your agent's own capabilities (web fetch, email, file write, webhooks) can be redirected to send data out, and whether outbound traffic is properly allowlisted.
DNS and side channels: Where conventional paths are blocked, we check for subtler channels such as encoded DNS lookups.
Egress allowlists: We verify whether your restrictions actually hold, including routing tricks through domains you already trust.
Why It Matters
An injection that changes what your assistant says is bad. An injection that quietly ships customer data to an attacker is a breach. Real-world exploits have proven these channels work against production AI systems with no user interaction at all.
Deliverables
Egress map: Every path data can take out of your application, and which ones we proved usable.
Findings report: Mapped to the OWASP Top 10 for LLM Applications and MITRE ATLAS.
Remediation: Content restrictions, allowlists, and monitoring that close the channels.
Put Your AI Features to the Test
Contact us today to scope an AI penetration test. We will walk you through the realistic attack paths against your deployment and where untrusted input meets something that matters in your application.