Pimloc, a major AI video privacy and analytics company, announced the launch of a new screen anonymisation feature that enables automatic detection and redaction of digital displays – such as monitors, smartphones, mobile data terminals (MDTs), tablets, and televisions – in video footage.
Screens are omnipresent in video content, and often display personal and confidential data that was never intended to be recorded or shared. This latest update to Secure Redact empowers organisations to automatically safeguard sensitive information that may appear on screens captured in body-worn footage, CCTV recordings, and other video environments – eliminating the need for manual review or frame-by-frame editing.
Screen anonymisation
Whether it’s a phone screen held up in front of a bodycam, a mobile data terminal (MDT) inside a police vehicle, or a desktop monitor in an office environment, screen content can now be anonymised with speed and precision.
“Screens have become one of the most overlooked sources of data exposure in video,” said Simon Randall, CEO of Pimloc, adding “People are constantly on their phones – entering passwords, reading messages, accessing sensitive info – often within full view of cameras.”
He continues, “While companies invest heavily in securing stored data, that same data is just as vulnerable when it’s on display – and with high-res cameras and AI now able to read even blurred text, the risk is substantial. This new capability helps organisations stay ahead of that risk.”
Benefits of screen anonymisation
The enhancement builds on Secure Redact’s existing suite of AI redaction capabilities
The enhancement builds on Secure Redact’s existing suite of AI redaction capabilities, including facial, license plate, and audio, offering a comprehensive solution for protecting all forms of personally identifiable information (PII) in video.
The screen anonymisation feature offers immediate impact across several sectors. In public safety, it helps protect sensitive data visible on MDTs and bodycam footage – such as suspect records, addresses, or real-time communications – without interfering with evidentiary integrity.
Application in healthcare industry
In healthcare, it safeguards personally identifiable information visible on clinical workstation screens, digital signage, or handheld devices – from patient names and health records to diagnostic data – supporting HIPAA, GDPR, and broader data protection policies.
Plus, in education, the tool enables automatic removal of student names, grades, or personal details shown on classroom or campus security footage, supporting FERPA and GDPR compliance in increasingly digital learning environments.
Protecting sensitive personal data
“Personal data displayed on screens is just as sensitive as faces or license plates – sometimes more so,” stated Simon Randall, adding “This enhancement ensures organisations can fully protect all forms of visual PII as part of a single, unified workflow.”
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