Concerns include the use of audio for algorithm improvement, storage on servers, and secure transmission during processing.
Applications offering automated audio-to-text transcription, whether from dedicated platforms or integrated into devices and popular apps, raise questions about data privacy.
Audio transcription apps, collecting spoken words from multiple individuals, raise concerns about potential cyberattacks or privacy breaches.
Apps often request unnecessary permissions, posing risks if misused or shared without consent.
Identifying these malicious apps can be challenging, making it crucial to check legitimacy, ownership, and privacy policies.
Beware of fraudulent speech-to-text applications or chatbots launched by cybercriminals, mimicking legitimate ones.
Attackers manipulate stolen audios to blackmail, impersonate, or create misleading content.
Stolen audio and text can be weaponized for cyberattacks, including audio deepfakes for social engineering or fake news distribution.
– Use trusted platforms adhering to regulations and industry best practices. – Scrutinize privacy policies to understand data storage, sharing, and encryption practices. – Avoid sharing sensitive information through speech-to-text software. – Keep software updated with security patches to prevent vulnerability exploitation.