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Showing posts with label workplace surveillance. Show all posts

Workplace Apps May Be Selling Employee Data Without Consent, Study Warns

 

A growing number of workplace applications are collecting vast amounts of employee data and, in many cases, sharing or selling that information to third-party companies without workers’ knowledge or permission, according to a recent analysis by privacy-focused tech company Incogni.

The company, which specializes in helping users locate and remove personal information from online databases, examined several employer-provided tools and widely used workplace communication platforms. The findings revealed how deeply integrated data collection has become in modern work environments, raising fresh concerns about employee privacy and cybersecurity.

“Collectively, these apps account for over 12.5 billion downloads on Google Play alone,” the Incogni post on the findings said. “On average, workplace apps collect around 19 data points and share approximately 2 data types [per user]. The three Google and Microsoft apps (Gmail, Google Meet, and Microsoft Teams) cluster at the top of the collection spectrum, each gathering 21–26 data types.”

The report highlighted that common communication platforms such as Gmail, Zoom, and Microsoft Teams often gather extensive user information. However, unlike consumer-focused platforms that sometimes provide opt-out settings, many workplace-mandated tools do not offer employees the ability to refuse data collection.

According to Incogni, productivity tracking and monitoring applications are especially aggressive in sharing information with outside organizations. Beyond standard details such as email addresses, location data, contacts, and app activity, some applications may also collect sensitive financial or health-related information.

The report identified Notion as one of the most data-sharing-intensive platforms reviewed. Using the app as an example, Incogni stated that it “shares the most data with third parties, distributing 8 distinct data types to third parties—including email addresses, names, user IDs, device or other IDs, and app interactions.”

Privacy experts warn that this growing exchange of employee data creates significant risks. Once personal information is transferred to multiple external entities, workers may lose visibility and control over how their data is being used. In addition, broader distribution increases exposure to cyberattacks and data breaches, incidents that platforms like Slack and Zoom have previously experienced.

“People tend to think of workplace apps as safe tools, but they don’t exist in isolation,” Incogni CEO Darius Belejevas told enterprise technology publication No Jitter. “A lot of them are part of much larger data ecosystems. Once information is collected, especially if it’s shared with third parties, it can travel much further than users expect.”

Experts suggest employees can lower some of these risks by limiting personal activity on workplace communication platforms and avoiding the use of personal devices for professional work whenever possible.

At the same time, businesses are being encouraged to prioritize stricter privacy protections when selecting workplace software. Organizations may benefit from requiring vendors to reduce unnecessary data collection and restrict third-party sharing practices before adopting enterprise tools.

“Workplace applications that access and share employee information can pose significant security and privacy risks for organizations,” Sarah McBride told No Jitter. “These risks arise from the sensitive nature of the data involved, the potential for misuse, and vulnerabilities in the applications themselves.”

AI in the Workplace: Boosting Productivity While Testing the Limits of Employee Privacy

 

Artificial intelligence is transforming today’s workplace at an unprecedented pace. It brings the promise of higher productivity, smarter decision-making, and even better employee well-being. However, it also raises a critical concern: how much insight into employees’ lives is appropriate?

With tools like automated performance monitoring and AI-powered wellness platforms, employers now have access to data that was once impossible to capture. This shift goes beyond efficiency—it delves into understanding employee behavior, daily habits, and even real-time mental health indicators.

As a result, both organizations and employees are being pushed to reconsider the fine line between offering support and crossing into surveillance. At the center of this shift lies data. AI systems depend on vast amounts of contextual information, and the workplace has become a key source of such data.

This access creates opportunities for positive change. Businesses can detect early signs of burnout, identify disengagement before it leads to attrition, and create benefits programs that employees actually use. This is particularly important as workplace stress becomes more evident.

Burnout is no longer just a concept—it is impacting productivity, increasing absenteeism, and affecting long-term health. Data underscores the urgency of the issue:

Over 50% of U.S. workers reported burnout in 2025, according to Eagle Hill Consulting.
In the U.K., 77% of employees experienced at least one symptom of burnout in the past year, with 23% of sick leave linked to burnout, as per a Yulife survey.
Burnout costs companies around $322 billion annually in lost productivity, based on combined research from McKinsey, Deloitte, and Gallup.

AI is making it possible to understand workplace dynamics at a level never seen before, says Tal Gilbert, CEO of Yulife. “Employers and insurers have never been able to access that data previously,” he told TheStreet.

Ideally, this represents a shift from reactive to proactive management. Instead of responding to problems after they arise, organizations can anticipate and address them early.

Despite its advantages, AI’s capabilities also spark controversy. When systems begin to assess how employees feel or predict burnout risks, the boundary between helpful support and intrusive monitoring becomes unclear.

This is especially sensitive when it involves mental health data. While early detection can be beneficial, it raises concerns about how such information might be used. Employees may question whether being labeled “at risk” could impact promotions, compensation, or job security.

The rise of privacy-first AI approaches

To tackle these concerns, many companies are adopting privacy-focused strategies. Rather than monitoring individuals, some systems analyze aggregated data to identify trends across teams or organizations.

Gilbert highlighted this approach in Yulife’s design. “It’s all at an aggregate level,” he explained.
“We’re talking about whether there are employer level risks of burnout, stress, and related issues that they can intervene around, rather than anything at an individual level.”

This method aims to build trust, as excessive monitoring can discourage employees from embracing AI tools. However, aggregation alone does not eliminate all concerns. Even anonymized data can feel intrusive if employees are unclear about what is being collected and how it is used.

Transparency is therefore just as important as privacy. Employees want to understand what data is gathered, why it is analyzed, and what protections are in place. Cultural differences also play a role—some workplaces may welcome AI-driven insights, while others may view them as excessive oversight.

As AI becomes more deeply integrated into daily operations, its influence continues to grow. These systems are not only analyzing behavior but also shaping it through recommendations and prompts.

For employers, achieving the right balance is crucial. AI has the potential to make workplaces more adaptive and supportive, particularly in addressing mental health challenges. But this depends entirely on how it is implemented.

Strong data governance, clear policies, and open communication will be essential. Organizations that present AI as a tool for empowerment are more likely to succeed, while those that lean toward surveillance risk damaging employee trust.

Ultimately, the future of work will be shaped by this balance. AI offers unmatched insights into employee performance and well-being—but whether those insights are used to support or monitor employees will determine its true impact.