Cybersecurity Experts Warn Against Sharing Personal Data on AI Platforms
In a recent advisory, cybersecurity specialists cautioned against the exposure of personal information on artificial intelligence (AI) platforms, amid a marked increase in cyber threats linked to data breaches. This warning comes as users are increasingly sharing sensitive information, including medical records and identification numbers, which could lead to dire consequences should these platforms be compromised.
Sanjay Katkar, joint managing director of Quick Heal Technologies, emphasized the risks associated with the upload of sensitive details, such as blood reports, onto AI systems. “If these platforms are hacked, this data could be sold on the dark web, leaving personal details—including addresses and financial records—exposed to cybercriminals,” Katkar noted.
As AI technologies see broader adoption, users find themselves inadvertently providing critical data points like Aadhaar and PAN numbers. This practice raises alarm bells among cybersecurity professionals, especially given the sophisticated tools employed by cybercriminals to navigate and manipulate AI systems, potentially breaching their security measures.
Adding to this concern, Ashish Biji, a partner at advisory firm BDO India, remarked on the evolving landscape of risks attributed to AI. “The integration of AI into daily operations introduces various vulnerabilities such as accidental data leaks and algorithmic manipulation, presenting serious security threats,” Biji explained.
Many AI-driven chatbots utilize application programming interfaces (APIs) that connect to extensive AI networks. While advancements in security protocols are continuously underway, experts warn that cyber attackers are also enhancing their methodologies and employing increasingly complex strategies to infiltrate these systems.
Katkar advised that users mask their personal data when engaging with generative AI tools to mitigate the risks. He also noted that the recent launch of version 26 of Quick Heal’s cybersecurity platform features new capabilities, including predictive threat detection and anti-fraud measures, deliberately designed to counter these emerging threats.
A recent IBM study highlighted that numerous Indian organizations are prioritizing rapid AI integration over stringent security and governance measures, leading to heightened vulnerability. The study reveals that the average cost of a data breach in India rose astonishingly to ₹22 crore in 2025, indicating a pressing need for improved security strategies.
Viswanath Ramaswamy, VP of Technology at IBM India and South Asia, underscored the necessity for robust security frameworks as organizations embed AI across various business functions. “The lack of adequate access controls and AI governance tools signifies not just a technical oversight, but a strategic risk that organizations cannot afford to overlook,” Ramaswamy stated.
In summary, the rising trend of data sharing on AI platforms poses significant risks, further complicated by the continuous evolution of cyber threats. Business owners should remain vigilant and prioritize cybersecurity measures to protect sensitive information in this increasingly digitized environment. Understanding adversary tactics and techniques, as highlighted by frameworks such as MITRE ATT&CK, is essential for identifying potential vulnerabilities and developing effective defense strategies.
