This year, 2026, we’ve already seen a significant number of security breaches. A good portion of them didn’t start with advanced attacks. They started with basic issues in the code hardcoded secrets, broken access control, injection flaws, and other problems that sat in production longer than they should have. In many cases, the teams involved either didn’t have a practical way to catch these issues early, or the tools available to them required sending source code outside their environment. For fintechs and other regulated companies, that trade-off often means the scan simply doesn’t happen. That’s one of the reasons we built OffShield AI @offshield_ai . It’s a privacy-first application security tool that runs locally. It flags high-impact issues in your code and provides AI-assisted remediation suggestions without your code ever leaving your environment. You also get a clear dashboard of findings and the ability to push fixes directly to your codebase either GitHub or GitLab. What makes it different isn’t that it finds more vulnerabilities than every other tool. It’s that it removes the friction that stops a lot of teams from scanning properly in the first place. When more teams can consistently catch and fix these common issues earlier, without creating new compliance or data residency problems, the overall risk goes down. We’re in early access and working with teams that have this constraint. If it sounds relevant, you can try it here: ide.offshield.tech