Kolsetu eyes LLM 'absorption' privacy risk

Kolsetu is highlighting a fundamental technical friction between LLM architecture and global privacy regulations.

• –LLMs do not store data in discrete files but "absorb" it into billions of parameters, making traditional data deletion nearly impossible without retraining.
• –Deterministic playbooks are positioned as a safer alternative to free-form generative outputs for industries like healthcare and finance.
• –Their approach emphasizes regional data residency and strict input filtering as a bridge for enterprises currently blocked by compliance concerns.