Scale Agentic AI Without the Risk or the Runaway Cost
WITH ESCROWAI® NOTHING GETS IN, NOTHING GETS OUT, AND EVERYTHING'S ON RECORD.
EscrowAI's confidential, verifiable AI computing environment protects your AI models and data from every angle and enforces exactly what your AI agents are allowed to do, with an immutable record of what's been done.
Deploy AI with Confidence. Not Just Hope.
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Autonomous agents are action-takers and decision-makers, acting on behalf of humans and they need limits and boundaries. Governance systems are a start, but governance needs an enforcement layer.
Industry leaders feel compelled to leverage AI to improve operational efficiency and remain on the cutting edge
Industry leaders feel compelled to leverage AI to improve operational efficiency and remain on the cutting edge
However, Agentic AI introduces a new set of risks and challenges that few organizations have the systems and controls to manage.
The solution is to adopt an Agentic AI monitoring and containment system that preserves authority and control over autonomous agent's actions—preventing data exposure and other harm, while ensuring ROI.
Reduce Cybersecurity Risks
Most organizations trust their agentic AI more than their actual monitoring and controls justify. Data exposure and unauthorized, damaging, and costly actions are real risks that need to be mitigated.
Ensure
ROI
Costs can escalate quickly in multi-agent scenarios. With EscrowAI, you increase ROI as you eliminate data and IP exposure, reduce the risk of being liable for causing harm, increase the speed of approvals, and reduce token costs with open-source models.
BeeKeeperAI's Agentic AI Containment Solution
Hardware-Based Containment
Your data and models run within an hardware-isolated Trusted Execution Environment (TEE)—a secure, encrypted enclave where computing takes place without any risk of data or model IP exposure.
This is EscrowAI, hosted in the cloud or on-premises. Your choice.
With confidential computing technology, data and AI models are encrypted end-to-end: inside the TEE, in transit, and at rest, adding a critical layer of security to your sensitive data environment.
Don't settle for traditional firewalls and access controls that watch from outside, at the software layer only. Build defense-in-depth with agentic containment and confidential computing.
BeeKeeperAI has been deep in the confidential computing space for five years, created at UCSF. EscrowAI was built and hardened in healthcare - one of the most sensitive, tightly regulated environments. And 16 patents back that track record.
EscrowAI already addresses 8 of 10 of
OWASP's top agentic AI risks.
Authorization
AI Governance defines what your agents are permitted to do, and under what conditions. However, governance without enforcement is insufficient. EscrowAI receives direction from AI Governance systems and grants access based on that, keeping humans in the driver's seat.
Attestation
EscrowAI's hardware attestation is burned into silicon eliminating the risk of AI manipulation or spoofing. It ensures the hardware is the properly secured, confidential computing hardware. In addition, EscrowAI requires human attestations confirming that the proper data and AI models are brought into the computing environment.
Detection
Every computation, including all autonomous agent activity, is recorded in an immutable, tamper-proof ledger. Whatever happens inside the enclave—what ran, what it touched, what it returned is tracked and recorded.
However, this isn't enough for a world with autonomous agents.
Enforcement & Revocation
The next frontier for EscrowAI is enforcement and revocation: once an autonomous agent acts outside of what was approved or tries to escape from the TEE, the system pulls back the agent's authorizations, terminates further activity, and notifies the user before any damage can be done.
Any rogue or nefarious behavior is shut down immediately, not just seen in a log after the event. This capability is critically important when agents are working together and is the critical next step to safely execute Agentic AI.
Open-Source LLMs within EscrowAI
Agentic AI workflows are also driving up costs. A single agent can consume 5–30x the tokens of a chat-based query, and that consumption multiplies with every additional agent in the chain.
With EscrowAI also you can run open-source, open-weight models inside the same secure TEEs, cutting your dependence on expensive frontier-models and increasing data privacy and security by eliminating data transfers to model vendors.
Ready to Talk?
OUR TEAM IS READY TO HAVE A CONVERSATION ABOUT AGENTIC AI AND HOW WE CAN HELP
Deploy AI with Confidence. Not Just Hope.
