In 2026, most mid-sized and large organizations are aggressively adopting AI coding assistants such as Cursor, Claude Desktop and Windsurf. Developers are now generating a significant portion of code using LLMs. However, this acceleration brings serious risks. According to the GitGuardian State of Secrets Sprawl 2026 report, in 2025 alone 28.65 million new hardcoded secrets were detected on public GitHub, a 34% year-over-year increase. Secrets related to AI services grew by 81%. Commits assisted by tools like Claude Code show nearly double the credential leak rate (3.2% vs 1.5% for manually written code). Additionally, Veracode’s 2025 research reveals that 45% of AI-generated code contains OWASP Top 10 vulnerabilities. In some languages (e.g. Java), this figure reaches as high as 70%. The core challenge for CTOs and architects is clear: we provide developers with extremely powerful generative tools, but we fail to supply them with the company’s current context.…