As AI tools enter everyday workflows, companies are confronting a new concern: employees relying on personal AI accounts for work without oversight. eScan (MicroWorld Technologies Inc.) has introduced a tenant control feature for ChatGPT within its Enterprise DLP platform to address this growing data sovereignty gap.
The update arrives at a time when organisations are actively
adopting AI assistants, but the lines between personal and corporate use
continue to blur.
Why Personal AI Accounts Create Data Blind Spots
When employees use personal ChatGPT accounts to draft
content or analyse documents, organisations lose visibility into what
information has been shared. Corporate ChatGPT Enterprise accounts offer audit
and compliance capabilities, but personal accounts bypass these controls.
The risks are tangible. Incidents like confidential
semiconductor designs uploaded by Samsung employees or legal documents shared
through personal AI tools at a law firm highlight how sensitive data can slip
into unmanaged environments. Once information enters a personal AI account,
organisations cannot retrieve or verify how it is stored or used.
These concerns persist even as AI boosts productivity. While many employees save time through AI assistants, most enterprises still cite data security and privacy as their biggest hurdle to wider adoption.
eScan Enterprise DLP introduces industry-first data control
for WhatsApp & messaging applications
NewsSecurity
By Express Computer On Nov 25, 2025
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eScan announced a breakthrough industry-first capability in
its Enterprise Data Loss Prevention (DLP) solution: bi-directional clipboard
and drag-drop control for messaging applications. This innovation addresses a
critical gap in enterprise security by enabling organisations to prevent
sensitive data from leaving the organisation through platforms like WhatsApp
and Viber, while simultaneously allowing employees to receive and process
information from external contacts through these same channels.
The feature emerged from a real-world challenge faced by a
lead-generation company whose inside sales representatives handle hundreds of
customer leads daily. While the company needed to prevent employees from
sharing proprietary lead information via WhatsApp, completely blocking
copy-paste functionality would have crippled productivity, as sales teams
regularly receive leads from external partners through the same platform.
“We were stuck between security and productivity,” said the
CIO of the lead-generation firm that piloted the solution. “Our sales teams
need WhatsApp to do their jobs, but we were leaking valuable customer data
through the same channel. Traditional DLP solutions only offered an
all-or-nothing approach, which wasn’t practical for our business.”
The problem extends far beyond lead-generation companies.
Legal firms handling client-privileged information, healthcare organisations
managing patient data, and financial advisors dealing with investment
portfolios all face similar challenges. WhatsApp has become the communication
tool of choice across industries precisely because of its speed and
convenience, but this same accessibility makes it a prime vector for data
exfiltration.
A recent study found that approximately 25% of employees share confidential company information through messaging platforms, often without malicious intent. In one documented case, a healthcare professional inadvertently shared patient records via WhatsApp while discussing a case with a colleague, resulting in regulatory penalties. In another incident, a financial consultant copied investment strategies from internal documents and pasted them into a WhatsApp conversation, compromising proprietary trading information.
Current Enterprise Responses Fall Short
Most large organizations currently block AI platforms
entirely. While this approach eliminates data leakage risks, it also restricts
valuable business applications. Consequently, customer service teams lose
access to powerful communication enhancement tools.
Additionally, sales professionals cannot leverage AI for
dataset analysis. Similarly, legal teams miss opportunities for document review
automation. Therefore, blanket blocking approaches reduce overall productivity
and customer experience quality.
eScan’s Innovative Solution Approach
In response to these challenges, eScan launches enhanced
Enterprise DLP capabilities. Specifically, the solution provides granular
controls for AI platform interactions. Furthermore, it delivers comprehensive
protection across multiple channels simultaneously.
The enhanced system monitors email communications, cloud
services, and endpoint devices. Additionally, it tracks external device usage
and file transfers. Consequently, organizations maintain complete visibility
over data movement patterns.
Advanced Features That Transform Security
The solution includes several cutting-edge security
features. First, content-aware filtering identifies sensitive information
automatically. Next, encryption protects data during transmission and storage.
Moreover, shadow copying creates backup records for audit purposes.
Additionally, OCR-based image scanning detects confidential content in visual formats. Furthermore, watermarking capabilities track document origins and usage. Finally, real-time monitoring provides immediate alerts for suspicious activities.
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