At a Fortune 500 firm, a public web page was quietly serving sensitive data tied to one of the company’s business units. No breach alert. No failed control. Just an exposure sitting in the open … the kind that, in most environments, goes unnoticed for months.
Wiz Red Agent was the only tool in the organization’s stack to catch it.
Here’s how the Fortune 500 financial services company, described it:
Yesterday, the Wiz Red Agent uncovered a publicly facing web page hosting sensitive data related to one of our business units. In the past, this kind of exposure would have gone unnoticed for a length of time…Today, Wiz picked it up without problem, and as far as we can tell, was the only security tool we have that identified the finding. The Red Agent made it extremely easy to understand the situation at a glance, it correctly categorized the severity, and the Data Finding page included a dynamic summary of what was being exposed so we didn’t need to audit it at length.
That feedback highlights what modern security teams are up against. It’s so easy now to build, spin up a new agent or connect data to an external service, but every new integration expands your attack surface. To ship AI confidently, teams can’t rely on static scans, they need unified context and autonomous defense working in real time.
While organizations are eager to harness AI-driven development and automate business logic, security teams cannot rely on static configurations or periodic internal audits. In an environment where code and data move at lightning speed, the fundamental security question remains unchanged: Where is your sensitive data, who can reach it from the outside, and what could an attacker actually do with it right now?
Answering that requires complete perimeter visibility and a proactive approach to continuous defense. Ask yourself how an attacker would view your environment, and use that intel strategically.
Why Inside-Out Tooling Missed What Red Agent Caught
Why was Wiz the only tool in the customer’s stack to catch this?
Traditional data security tools look strictly from the inside out. DSPM and classification engines crawl datastores, scan text, and generate an inventory of sensitive records. While knowing what data exists is essential, classification alone cannot answer the critical operational question: Is this data actually reachable and exploitable from the public internet?
Conversely, traditional Attack Surface Management (ASM) and perimeter scanners look from the outside in, but they rely on rigid signatures, looking for known open ports, outdated software versions, or standard CVEs. They see a web server responding normally and move on, completely blind to what the payload behind that endpoint actually contains.
Attackers operate in the space between those silos:
They don’t have access to your internal classification catalogs.
They probe from the outside, mapping live paths to discover what is reachable and exploitable.
According to Wiz Research, approximately 78% of high and critical exploitable cloud risks stem from information disclosure, leaked credentials, and excessive access.
Red Agent closes this gap by operating as an AI-powered pentester. It continuously discovers your perimeter, tests accessible endpoints, and validates whether sensitive data is exposed to the public internet.
What Red Agent actually did
What truly set this finding apart was not just discovering an open URL, it was how the exposure was analyzed.
Red Agent doesn’t simply flag an endpoint and leave security teams guessing. When Red Agent encounters potentially sensitive data on an exposed endpoint, the agent itself invokes built-in, AI-powered classification.
Instead of forcing engineers to manually dump files or parse raw HTTP responses, Red Agent:
Analyzes the payload dynamically: Evaluates the structure and content of the exposed data in real time from the external perspective.
Accurately assesses sensitivity & impact: Determines whether the data represents test noise or regulated, high-value business unit records.
Automatically categorizes severity: Elevates the finding based on validated exploitability and the true business impact of the exposed records.
Protects privacy by design: Redacts sensitive raw values before generating the alert, ensuring sensitive customer data is never exposed in findings or stored in Wiz’s backend.
From Finding to Resolution: Eliminating the Audit Tax
Finding an exposure is only half the battle; the other half is triage. Security teams routinely burn days pulling database dumps, parsing web logs, and frantically asking internal owners, “What was actually in that file?”
Because Red Agent classifies the data on the fly, the finding delivered immediate, actionable context.
The Wiz Data Finding provided a concise, dynamic summary explaining exactly what business unit records were exposed. The team didn’t need to initiate a forensic audit or pull engineers off core projects to determine the blast radius. They understood the scope in minutes, remediated the root cause immediately, and presented a solved incident directly to their leadership.
Shift from Theoretical Risk to Validated Defense
Securing data in the AI era requires core capabilities: autonomous speed, unified graph context, and fast remediation.
Find it first: Red Agent autonomously probes your perimeter to discover what is genuinely exploitable, whether that’s a forgotten business page, a rogue MCP server, or an over-permissioned AI model.
Understand the risk: DSPM classifies the exposed assets, enriches the data, and correlates technical exposure into clear business context.
Fix it fast: Validated findings route directly to remediation owners, closing the loop before adversaries can strike.
Most organizations discover their critical data exposures only after an external third party does. This customer flipped the script: they found it in a day, understood it in minutes, and resolved it cleanly.
Learn more about Red Agent and securing data in the AI era, or schedule a live demo with our team.
