Korguard LLC

Korguard’s mission is to enable organizations to safely adopt AI by preventing the accidental exposure of sensitive data in real time. We build privacy-first technology that detects and blocks compliance risks at the moment of input, without storing or transmitting user data. By combining real-time awareness, secure intervention, and seamless workflow integration, Korguard preserves human judgment, protects trust, and empowers professionals to use powerful tools responsibly, ensuring innovation strengthens rather than compromises the people and institutions it serves.

Korguard.org KorGuard is necessary because the rapid adoption of AI tools has outpaced the safeguards needed to protect sensitive information in regulated industries. Professionals in healthcare and finance are already using large language models for efficiency, but in doing so, they are unintentionally exposing protected data such as PHI and financial information. This behavior is not driven by negligence, but by workflow pressure, convenience, and a lack of real-time feedback on what constitutes a violation. Existing compliance systems were not designed for this new interaction layer, leaving a critical gap between policy and practice. Current solutions, such as traditional data loss prevention (DLP) systems, operate at the network or storage level and are often reactive, flagging issues only after data has already been transmitted. They are also intrusive, complex to implement, and frequently bypassed because they disrupt workflows. KorGuard addresses this gap by operating directly at the point of input, where risk is created. By analyzing user input in real time and providing immediate feedback, KorGuard prevents violations before they occur, rather than detecting them after the fact. The need for this solution is underscored by both qualitative and quantitative evidence. Conversations with clinicians and financial professionals confirm that sensitive data is regularly entered into AI tools without safeguards. In healthcare, over 80% of data policy violations involve regulated data such as PHI, and many originate from everyday tool usage rather than external attacks. The financial consequences are severe, with individual breach incidents costing over $10 million on average and contributing to billions in annual losses. In finance, particularly among small and mid-sized firms, the same pattern is emerging as teams adopt AI tools without adequate protections. KorGuard is uniquely positioned to solve this problem because it aligns with how professionals actually work. Rather than blocking access or requiring behavior change, it integrates seamlessly into existing workflows, providing a lightweight, real-time indicator that helps users recognize and correct risky behavior. This preserves productivity while introducing awareness and accountability at the moment decisions are made. Additionally, KorGuard operates locally and does not store or transmit user data, addressing growing concerns around privacy and trust in AI systems. Early validation further demonstrates the necessity of this solution. Pilot agreements with Beacon Health System and Notre Dame Federal Credit Union, along with ongoing discussions with institutions like Mayo Clinic and UNC Health, indicate strong institutional demand. These organizations recognize that AI-driven data exposure is an immediate and growing risk that cannot be addressed by legacy tools alone. As AI adoption continues to expand across industries such as healthcare, finance, legal, and consulting, the surface area for accidental data exposure will only increase. Without a solution like KorGuard, organizations face escalating compliance risks, financial losses, and erosion of trust. KorGuard is necessary not only to prevent these outcomes, but to enable the safe and responsible use of AI, ensuring that innovation can continue without compromising the security and integrity of sensitive information.