Business Fortune
Artificial intelligence is transforming the way businesses operate, unlocking new levels of efficiency, innovation, and decision-making. Yet as AI becomes deeply embedded in everyday workflows, organizations face a growing challenge: how to ensure these powerful systems remain transparent, accountable, and compliant with evolving regulations. The need for trust in AI has never been greater. Operating at the intersection of AI governance for regulated industries, compliance, and digital trust, OAIS is helping enterprises navigate this new reality.
The company has developed a unique approach to AI oversight, enabling organizations to monitor and verify AI activity without compromising sensitive data. By combining advanced cryptographic technologies with practical compliance solutions, OAIS empowers businesses to embrace AI with confidence while maintaining the transparency and control that today's regulated environments demand.
About OAIS
Founded by Daniel Fruman, OAIS was created to address one of the most pressing challenges facing regulated organizations: proving that AI systems are being used responsibly and in compliance with emerging regulations. The company’s flagship platforms, Sentinel Core and Sentinel Guard, establish a cryptographic chain of custody for every AI interaction, creating verifiable records without accessing or storing the underlying content. Through advanced technologies such as HMAC hashing, digital signatures, Merkle tree anchoring, and independent timestamping, OAIS delivers tamper-evident evidence that organizations can rely on during audits, risk assessments, and regulatory reviews.
What sets OAIS apart is its privacy-first design. Rather than collecting sensitive enterprise data, the platform records only the digital fingerprints of AI interactions, enabling organizations to maintain complete ownership of their information while still demonstrating compliance. This approach is particularly valuable for banks, insurers, financial institutions, and other highly regulated enterprises facing increasingly stringent AI governance requirements.
Creating a Complete Chain of Trust
OAIS delivers its AI governance capabilities through two complementary solutions: Sentinel Core and Sentinel Guard. Working together, these platforms create a cryptographic chain of custody for every AI interaction across an organization, providing visibility, verification, and control without compromising data privacy.
Sentinel Core
Sentinel Core serves as the foundation of the OAIS ecosystem. Designed to capture and register AI interactions, it transforms every exchange into a verifiable record while ensuring that sensitive content never leaves the organization's control. Instead of storing prompts or responses, the platform creates secure digital fingerprints that can be independently validated at any time.
HMAC-SHA3-256 Hashing: Every AI input and output is converted into an irreversible fingerprint using a tenant-controlled key. This ensures that only the organization maintains ownership and control of the underlying data.
Ed25519 Digital Signing: Each interaction record is digitally signed at the point of capture, creating immediate evidence of authenticity and making any unauthorized modification detectable.
Merkle Tree Anchoring: Records are organized into cryptographic Merkle trees, where even the smallest alteration would invalidate the integrity of the chain, providing strong tamper protection.
Independent Timestamping: Using RFC 3161 timestamp authorities, Sentinel Core proves when records were created. Verification can be performed independently without requiring access to OAIS infrastructure.
A key advantage of Sentinel Core is transparency. Third parties can verify the entire chain of records using standalone tools, eliminating the need to rely on proprietary systems or trust assumptions.
Sentinel Guard
Sentinel Guard extends governance directly to the browser environment. Available through enterprise deployment tools such as Chrome Enterprise Policy and Microsoft Intune, the solution helps organizations monitor AI tool usage and prevent sensitive information from being shared unintentionally.
Shadow AI Detection: The platform identifies the use of popular AI applications, including ChatGPT, Claude, Gemini, and Perplexity, helping organizations understand where and how AI tools are being used.
Data Loss Prevention (DLP): Sentinel Guard applies security policies before information leaves the browser, enabling organizations to prevent unauthorized data sharing at the source.
Privacy-First Architecture: By default, the platform captures metadata rather than content, preserving privacy while maintaining governance visibility. Content collection remains optional and organization-controlled.
Unified Registry Integration: All browser-level activity feeds into the same Sentinel Core registry, creating a single, comprehensive record of AI interactions across the enterprise.
Together, Sentinel Core and Sentinel Guard provide organizations with a unified framework for AI governance. While Sentinel Core establishes the cryptographic evidence layer, Sentinel Guard delivers real-time visibility and protection at the user level. The result is an end-to-end system that helps enterprises monitor AI usage, strengthen compliance efforts, and maintain confidence in an increasingly AI-driven environment.
From AI Activity to Trusted Evidence
Every AI interaction within an organization leaves behind a digital trail, but OAIS transforms that trail into something far more powerful: verifiable proof. The process begins the moment an employee uses an AI system. Through Sentinel Core at the API layer or Sentinel Guard at the browser level, the interaction is captured and processed locally, ensuring the original content never leaves the organization's environment.
Instead, the information is converted into a unique cryptographic fingerprint using advanced hashing techniques, making it impossible to reconstruct the original content while preserving proof that the interaction occurred. This fingerprint is then digitally signed to verify its origin and anchored within a cryptographic structure that immediately reveals any attempt at tampering.
An independent timestamp further confirms exactly when the interaction took place. The result is a secure and transparent chain of custody that can be independently verified by auditors, regulators, or compliance teams without relying on OAIS systems or access credentials. Rather than asking organizations to trust a platform, OAIS provides mathematical proof that stands on its own.
Shaping the Future of Trusted AI
As AI adoption accelerates across industries, trust, accountability, and compliance are becoming just as important as innovation itself. OAIS is helping organizations meet this challenge by providing a new standard for AI governance, one built on transparency, privacy, and independently verifiable evidence. Through its Sentinel platform, the company enables enterprises to embrace the benefits of AI while maintaining the oversight and control required in an increasingly regulated world. In doing so, OAIS is not only protecting organizations today but also helping build a more trusted future for AI.
