DR. ARINDAM SARKAR
HOD & ASST. PROF., DEPT. OF COMPUTER SCIENCE & ELECTRONICS,
RAMAKRISHNA MISSION VIDYAMANDIRA, BELUR MATH-KOLKATA
“In the age of agentic AI and LLMs like ChatGPT-6, modern cyber threats synthesize zero-day exploits and bypass traditional biometric perimeters. Advanced generative models create hyper-realistic deepfakes that easily fool standard eye-blink liveness checks. To counter non-human attack vectors, FaceOff captures physiological signals—including skin micro-responses, heart rate, and oxygen saturation—via standard camera lenses to verify true human presence. Whether detecting synthetic audio, video manipulation, or fraudulent credentials, zero-trust security architecture must evolve continuously to combat autonomous AI threat actors.
However, security without privacy is mere surveillance, and privacy without security is impossible; true enterprise trust requires both operating in complete unison. In a DPDP-compliant landscape, data governance demands revolutionary capabilities like machine unlearning—extracting specific data points from trained models to honor deletion requests without compromising database relational integrity. Furthermore, specialized enterprise tools like PromptShield prevent internal workforce members from inadvertently exposing sensitive PII, financial records, or confidential corporate assets directly into public LLM prompts.
Originating at Ramakrishna Mission Vidyamandira’s incubation center, our 'AI in a Box' delivers a plug-and-play, localized deployment model running entirely on-premises. Operating air-gapped with homegrown Small Language Models, it provides continuous cookie scanning across 22 regional languages, granular consent orchestration, automated data discovery, and post-quantum cryptographic redaction. Local by default, this box keeps enterprise data safely under your roof, satisfying DPDP, GDPR, CCPA, and global compliance mandates seamlessly.”
