Protegrity on LLMs in Banking: Securing Sensitive Data for AI Adoption

In a recent E-ChannelNews interview, Sameer Tiwari, Chief Technology Officer at Protegrity, shared how the company helps banks and healthcare providers protect sensitive data while advancing AI initiatives. He emphasized a data-centric approach—protecting information at its core so it remains secure even if other defenses are breached.

Key themes from the interview

• LLMs in regulated environments: Banks see the upside of large language models, but concerns about data exposure often drive strict security controls that can limit effectiveness.
• AI Team Edition capabilities: Tiwari outlined how Protegrity AI Team Edition supports secure AI workflows with anonymization, discovery, synthetic data, and semantic guardrails—helping teams manage data responsibly while addressing legal and compliance needs.
• Governance for agentic systems: He underscored governance as a foundational requirement for data management—especially as agentic systems introduce new risks, including agents creating other agents.
• Quantum-ready security posture: Tiwari discussed the implications of quantum computing for cybersecurity, including the need to rotate encryption keys regularly and adopt quantum-safe algorithms.

Supporting developers and accelerating adoption

The discussion also touched on Protegrity’s approach to enabling teams with accessible tools and feedback loops, including a free development edition shared publicly to encourage collaboration and user input—while keeping pace with evolving cyber threats.\