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Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →Outbyte PC Repair FREERepair Windows errors before they cause bigger problemsFix Now →In demonstrations reported in 2024, security researcher Michael Bargury showed how Microsoft Copilot connected to organizational data could be manipulated to expose information and influence business workflows. The findings point to risks in AI access and configuration—not a demonstrated Windows kernel exploit—and do not establish that every current Copilot deployment is vulnerable in the same way.
What the demonstrations showed
Futurism’s Frank Landymore reported on August 10, 2024, on demonstrations Bargury, cofounder and CTO of security company Zenity, presented at Black Hat in Las Vegas. The examples involved Microsoft Copilot and Copilot Studio working with organizational data.
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- Copilot could be manipulated into revealing organizational information, including emails and bank transactions.
- A malicious email could induce Copilot to change the recipient of a bank transfer, even when the targeted employee did not open the email.
- With access to a compromised employee account, straightforward questions could expose contacts and prior-conversation context. Copilot could then draft an employee-style phishing email using a previous subject line and a malicious-attachment concept.
These were reported demonstrations, not a published measurement of how often an attack succeeds or proof that every organization using Copilot is exposed.
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteHow indirect prompt injection works
Indirect prompt injection starts with instructions placed in data the AI is asked to process, such as content on a website or in an email. If an assistant with access to company information or tools processes that content, an attacker may try to steer its behavior through those embedded instructions. The risk is not simply that a person types a malicious prompt; it is that untrusted material can become an input to an assistant with access or permissions.
Bargury summarized the concern this way: “There’s a fundamental issue here. When you give AI access to data, that data is now an attack surface for prompt injection.” The examples illustrate why access to email, financial workflows, contacts, and conversation history matters: an assistant that can retrieve or act on those resources creates more consequential opportunities than one that only answers from public information.
Why Copilot Studio bots matter
Copilot Studio lets organizations tailor bots by granting them access to company data. Landymore’s report said many such bots were discoverable online by default and quoted Bargury saying, “We scanned the internet and found tens of thousands of these bots.” That is an attributed estimate from 2024, not an independently audited count or a measure of how many bots were exploitable.
Discoverability and authorization are separate questions. Finding a bot online does not by itself prove that it exposes private data; the impact depends on what the bot can access and what a user can get it to do. Still, organizations should treat externally reachable bots as systems that need deliberate access controls, rather than assuming that obscurity will protect them.
What organizations can do to reduce exposure
The demonstrations make the relevant control points clear. Organizations deploying Copilot or custom bots should review permissions and actions around the data and workflows the assistant can reach.
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- Limit data access: Grant a bot only the information required for its intended job, and review whether its access to mail, financial records, contacts, and conversation history is necessary.
- Constrain consequential actions: Avoid allowing an assistant to change payment details or send external messages without a separate human check. Require confirmation through a trusted process before financial or sensitive communications are changed.
- Review exposure: Identify which bots are reachable outside the organization and verify that authentication and authorization match the sensitivity of the connected data.
- Keep untrusted content in view: Treat email, websites, and other external material processed by a bot as potentially hostile input; do not assume that instructions embedded in such content are safe.
- Log and review activity: Where available, retain records of data access and actions so unusual requests or workflow changes can be investigated.
These are risk-reduction practices, not a claim that a particular setting or product update eliminates prompt injection. The 2024 report does not establish the current behavior of every Copilot build, nor whether Microsoft has since changed relevant protections.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Is this a Windows vulnerability?
Not in the sense of a demonstrated Windows kernel flaw. The reported issue concerns AI assistants connected to organizational data and actions, including Copilot Studio bots. Calling it a Windows exploit can obscure the central question: what information and capabilities has an organization granted its assistant, and what safeguards govern its use?
Bargury warned that AI-assisted phishing could scale, saying, “A hacker would spend days crafting the right email to get you to click on it, but they can generate hundreds of these emails in a few minutes.” The report describes a potential workflow for personalized impersonation, not a measured phishing success rate or proof that a particular campaign occurred.
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