Secure Microsoft Copilot: Detect, Monitor & Protect Sensitive Data with Lightbeam

Powered by identity-centric intelligence, Lightbeam connects data, access, and user context to give you complete control over AI-driven workflows

Secure Microsoft Copilot: Detect, Monitor & Protect Sensitive Data with Lightbeam

AI tools like Microsoft Copilot are transforming productivity — but they also introduce new data security risks.

In this demo, see how LightBeam helps organizations secure sensitive data in Copilot by combining real-time detection, automated policy enforcement, and deep forensic visibility.

With Lightbeam, you can:

✔️ Detect sensitive data in Copilot prompts and responses
✔️ Automatically enforce policies and trigger remediation
✔️ Investigate user behavior with full forensic visibility
✔️ Monitor uploads and downloads across Copilot interactions
✔️ Move from reactive security to proactive AI governance

Powered by identity-centric intelligence, Lightbeam connects data, access, and user context to give you complete control over AI-driven workflows

Transcript

Every organization is racing to adopt AI tools like Microsoft
Copilot. They write emails, analyze documents, and unlock
productivity across the enterprise. But there's a problem.
What happens when Copilot touches sensitive data?
Every prompt, every interaction, every uploaded file can
expose sensitive customer data, financial records, or intellectual
property. This is the Copilot productivity paradox.
Lightbeam solves this challenge by giving organizations complete visibility and
control over sensitive data flowing through Copilot in real
time. Here, we see Lightbeam detecting sensitive data activity
inside Microsoft Copilot. Out-of-the-box policies continuously
scan prompts for regulated data. In this instance, an alert was
triggered by a policy stating that any high or medium sensitive data
attributes, such as Social Security numbers, SSNs, credit
card information, names, email addresses, or phone numbers
being shared or retrieved from Copilot will be highlighted.
This is the policy we have in place.
Additionally, there is an automated workflow that revokes access for the
particular user from Active Directory if this occurs.
This Copilot alert shows sensitive data like SSNs, names,
and emails automatically labeled as confidential PCI.
From here, you can drill into the user, understand their role, access, and
data flow, and take action, review, approve, or let automation
block the user. As alerts come in, your security team is empowered with
choices: investigate further, put events on hold, or automate
responses based on preset policies.
This makes management seamless and effective. But not every risk is obvious.
Sometimes sensitive information emerges gradually during a conversation.
Now, let's assume we want to conduct a forensic analysis.
For instance, let's take Deepak's inquiry about claims data for Maria
Lopez. He asks Copilot directly, and while Copilot
reveals it found sensitive data, it won't immediately output it.
Copilot recognizes sensitive information, but a determined user
may continue probing. But what if we push for raw content?
Watch as Copilot discloses sensitive information, pulling directly from
a JSON file within SharePoint. This is where Lightbeam shines.
Our object viewer transforms that previous blind interaction into
comprehensive visibility. You can track every prompt, the source file,
and all pieces of sensitive data that were exposed, transforming a
black box into a transparent glass box.
With Lightbeam's object viewer, security teams see the entire chain of
evidence. No guesswork, just a complete forensic record of what
happened. Lightbeam also monitors uploads to Copilot.
If an employee submits a sensitive document asking for a summary, every
interaction is meticulously logged and protected.
This holistic visibility ensures your data remains secure.
Every upload, prompt, and response can be monitored, audited,
and governed. With Lightbeam, organizations move from reactive
investigation to proactive protection, automated policies,
identity-aware visibility, complete audit trails.
AI adoption is inevitable. The real question is: will your
organization control AI, or will AI control your
data?