Liminal vs. Armet AI

Liminal is a secure AI enablement platform that becomes the place AI happens inside a regulated organization. Employees reach models from Anthropic, OpenAI, Google and other providers through one governed interface, and protection is applied inside the prompt before anything leaves the organization. That design answers a tradeoff most organizations are stuck in. Restrict AI access and employees route around it, taking the exposure somewhere nobody can see. Allow open access and regulated information flows into third-party systems with no record of what went where. Liminal makes the compliant path the convenient one, so there is nothing to route around. Protection happens inside the prompt. Before text leaves the organization, sensitive terms are recognized and handled according to rules the organization defines by data category: replaced with tokens, removed entirely, flagged for the user, or stopped outright. Tokens are swapped back when the response returns, so the employee reads something coherent while the provider never receives the underlying information. Nothing has to be scrubbed by hand. Model choice stays open. Policy-based routing directs traffic without anyone configuring controls provider by provider, and there are no separate contracts or security reviews for each vendor added. Everything is recorded as it happens: which person, which model, which rules fired, what was caught. Auditors and examiners get evidence produced at the moment of the interaction rather than assembled afterward, and the same records can feed existing security tooling so AI activity sits alongside everything else being reviewed. Internal systems connect through MCP, letting people bring real organizational context into their work without copying data into unmanaged tools. Existing permissions carry through. Infrastructure is single-tenant. Authentication runs through SSO with role-based authorization. Organizations in banking, insurance, healthcare, education, g

Armet AI presents a powerful GenAI platform focused on security through Confidential Computing, which encompasses every aspect from data ingestion and vectorization to LLM inference and response management within secure enclaves enforced by hardware. By leveraging advanced technologies such as Intel SGX, TDX, TiberTrust Services, and NVIDIA GPUs, the platform guarantees that data remains encrypted in all states—whether at rest, in transit, or during processing. This encryption is fortified with AI Guardrails that automatically sanitize sensitive inputs, implement security protocols, spot inaccuracies, and comply with established organizational standards. Moreover, the platform enhances Data & AI Governance by offering consistent role-based access controls, promoting collaborative project frameworks, and enabling centralized management of access rights. Its End-to-End Data Security ensures a zero-trust encryption model across all layers, including storage, transit, and processing. Additionally, its commitment to Holistic Compliance secures adherence to regulations such as GDPR, the EU AI Act, and SOC 2, effectively protecting sensitive data like PII, PCI, and PHI, which in turn bolsters the integrity and confidentiality of data management processes. By focusing on these critical security and compliance elements, Armet AI enables organizations to harness AI capabilities without compromising on safety measures. Ultimately, this empowers businesses to innovate confidently while ensuring that their data handling practices are both secure and compliant.