API complexity is overwhelming manual integration approaches as enterprises juggle 1000+ connections - autonomous LLM-powered integration layers could revolutionize how systems connect.
APIs are everywhere—enterprises now manage an average of 1,200 APIs, growing 50% year over year. But this growth has created a serious problem: keeping data private and compliant. Current API security tools focus on blocking threats but ignore the need for detailed privacy controls and adaptable compliance. This is a big issue for industries like finance, healthcare, and telecom, where privacy rules differ by region and situation.
Traditional API privacy relies on rigid, one-size-fits-all controls. These force companies to sacrifice either functionality or privacy, slowing data sharing and creating risks. Managing privacy across thousands of APIs has become a major roadblock, delaying projects and increasing compliance headaches. Sensitive data often gets overexposed or misused because the tools can’t keep up.
What if APIs had a smart privacy layer? This middleware would let companies set dynamic controls, share data only with consent, and protect sensitive transactions with zero-knowledge proofs. By making privacy programmable—without changing the APIs themselves—businesses could quickly adapt to new rules and user needs. This "privacy as code" approach solves compliance challenges and keeps innovation moving fast.