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Opaque Systems provides a platform for secure data analytics using Data Clean Rooms powered by Confidential Computing. It enables multiple data teams to share and analyze encrypted data across organizations while preserving each party’s access only to their own data and insights. Data remains encrypted at rest, in transit, and during processing, with analytics and AI computations performed inside confidential environments so no data is exposed during computation. This differentiates Opaque from competitors by offering end-to-end protection, easy migration to Confidential Computing clouds, and built-in support for regulatory compliance. The company's goal is to let organizations securely analyze sensitive information and collaborate on data projects without compromising privacy or security.
Industries
Data & Analytics
Enterprise Software
Cybersecurity
Company Size
11-50
Company Stage
Series B
Total Funding
$55.5M
Headquarters
San Francisco, California
Founded
2020
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OPAQUE: secure AI for sensitive data - CEO Aaron Fulkerson. 6h ago · 0:00 listen · Source: Pulse 2.0 Summary. OPAQUE is developing Confidential AI infrastructure to help enterprises use sensitive data in AI. This technology enforces policies during execution and provides verifiable evidence of what occurred. OPAQUE CEO Aaron Fulkerson shared insights into his background and the company's mission. He noted that in his past roles, trust, not technology, was often the bottleneck. He believes AI is at a similar point today. Enterprises are hesitant to use sensitive data because they can't verify what happens during processing. Fulkerson explained that OPAQUE embeds security and compliance from the start, rather than adding it later. This approach helps overcome resistance and speeds up adoption. The system generates verifiable evidence of data processing, shifting the focus from speculation to proof. The founding team identified a key problem: while data is encrypted at rest and in transit, protections often disappear during active processing. OPAQUE aims to address this gap. This technology could allow companies to leverage AI with sensitive information more securely. This is an AI-generated audio summary. Always check the original source for complete reporting.
OPAQUE, the Confidential AI company, has joined the Linux Foundation's Appia Foundation and Agentic AI Foundation to advance open standards for verifiable AI systems. The company will contribute its work on AI identity, runtime governance, and cryptographic evidence to help organisations prove how AI systems are governed. OPAQUE's contributions are built on the open-source Agent Governance Toolkit, which has nearly 5,000 GitHub stars and over 100 contributors. The company plans to contribute several specifications to the foundations, including Agent Manifest for verifiable AI agent identity and TRACE for hardware-attested trust records. The Appia Foundation provides testing criteria and evaluation guidelines to verify trusted AI systems, whilst the Agentic AI Foundation ensures transparent development of autonomous AI. OPAQUE is already a member of the Confidential Computing Consortium and co-hosts the Confidential Computing Summit with the Linux Foundation.
OPAQUE joins the Linux Foundation's Appia Foundation and Agentic AI foundations to advance open standards for verifiable AI. 2026-07-16 4 minutes Read The memberships bring OPAQUE's open AI trust standards to the industry efforts shaping how AI is verified, and autonomous agents are governed SAN FRANCISCO, July 16, 2026 - OPAQUE, the Confidential AI company, today announced it has joined two Linux Foundation initiatives, the recently announced Appia Foundation and the Agentic AI Foundation (AAIF). Through these memberships, OPAQUE aims to contribute its work on AI identity, runtime governance, and cryptographic evidence to the open standards shaping how trustworthy AI systems are assessed and autonomous agents are governed. The announcement comes on the heels of the Linux Foundation's and OPAQUE's Confidential Computing Summit, where leaders from across the AI ecosystem echoed the same message: the next phase of enterprise and sovereign AI will require organizations to prove, not simply claim, how AI systems are governed. As AI agents become more autonomous and regulatory expectations continue to evolve, industry standards for identity, governance, and verifiable runtime evidence are becoming foundational infrastructure. Reflecting that shift, the Linux Foundation launched the Appia Foundation, expanded the Agentic AI Foundation to more than 200 members, and introduced new open AI infrastructure projects, signaling a broader industry move from building more capable AI systems to building the trust infrastructure those systems require. Together, these efforts signal that the industry is beginning to standardize how trust is defined, implemented, and independently verified, much as earlier generations of the internet standardized security and interoperability. The two foundations address different parts of that challenge. The Appia Foundation delivers an open connecting layer providing testing criteria, evaluation guidelines, and component typologies to verify and audit safe, trusted AI models, systems, and applications. The AAIF provides a neutral, open foundation to ensure agentic AI evolves transparently and collaboratively. Today, enterprises lack a standard way to independently verify how AI systems actually behave once they're running.OPAQUE's work helps close that gap by contributing cryptographic identity, runtime policy enforcement, and verifiable evidence that is hardware-enforced with a silicon encryption key built in NVIDIA, AMD, and others. This lets organizations independently prove, not simply trust, that AI systems operated according to policy. "AI is becoming part of the world's critical infrastructure, and critical infrastructure can't run on trust alone, it needs proof," said Aaron Fulkerson, CEO of OPAQUE. "The challenge of obtaining that proof shows up concretely today: enterprises buying AI have no standardized way to verify how a model or agent actually behaved short of trusting the hyperscaler's word for it, and no way to run models independently of the handful of providers currently gatekeeping access to them. That's why we're putting our work on agent identity and runtime governance into the open, through the Appia Foundation and Agentic AI Foundation. We're giving enterprises, regulators, and auditors the ability to independently verify how AI systems behave." OPAQUE's contributions are built on the open-source Agent Governance Toolkit (AGT), created by OPAQUE Chief Platform Officer Imran Siddique, formerly Agentic AI Architect and Engineering Leader at Microsoft Azure. With close to 5,000 GitHub stars and over 100 contributors, AGT has grown into something larger than a single project: it functions as a lab, a proving ground where focused new standards are incubated, hardened alongside early adopters, and matured until they can stand on their own. OPAQUE aims to bring the standards that graduate from that work to the AAIF, supporting new agentic governance standards flowing into the AAIF. Through AGT, OPAQUE aims to contribute several emerging specifications to the AAIF, including: Agent Manifest gives every AI agent a verifiable identity. TRACE (Trust RuntimeAttestation and Compliance Evidence), an open specification for hardware-attested trust records that provide cryptographic evidence of AI execution and policy enforcement. Confidential MCP (cMCP) extends the Model Context Protocol (MCP) with hardware-enforced policy and verifiable runtime evidence. Confidential A2A (cA2A) enables verifiable identity and provenance across communication between AI agents. OPAQUE is developing these specifications in the open with partners across the ecosystem. Key thoughts from TRACE have already been contributed through CoSAI's Working Group 4, while Agent Manifest, Confidential MCP, and Confidential A2A are expected to be contributed to the AAIF in the coming months as they mature into vendor-neutral community standards. "Verifiable trust in AI cannot be something any one company owns. It has to be an open standard the whole industry can build on and independently check. I created the Agent Governance Toolkit to give teams a common language for what an agent is allowed to do, and Agent Manifest, TRACE, Confidential MCP, and cA2A extend that from written policy into cryptographic proof. Bringing this work into the Appia Foundation and Agentic AI Foundation is exactly where it belongs: a neutral home where enterprises, regulators, hardware makers, and model providers shape it together. I've been contributing to both communities, and joining as a member is our commitment to build this in the open, with everyone, not around anyone," said Imran Siddique, Chief Platform Officer, OPAQUE. This news builds on OPAQUE's recent momentum with the launch of OPAQUE 3.0 and longstanding collaboration with the Linux Foundation. OPAQUE is a member of the Confidential Computing Consortium and founded the Confidential Computing Summit, now co-hosted with the Linux Foundation. Alongside founding contributors, including the Technology Innovation Institute (TII), and a growing community of open-source collaborators, OPAQUE is helping advance the standards that underpin trustworthy AI. Joining the Appia Foundation and the AAIF extends that collaboration from confidential computing into the open standards shaping the next generation of enterprise AI. Availability: The Agent Governance Toolkit, Agent Manifest, TRACE, Confidential MCP, and Confidential A2A are available today as open-source projects at github.com/agentrust-io. About OPAQUE OPAQUE is the Confidential AI company. Born from UC Berkeley's RISELab (now the Sky Compute Lab), OPAQUE lets organizations run AI models, agents, and workflows on their most sensitive data with hardware-rooted isolation and verifiable evidence that approved governance policies were actually enforced. Founded by Dr. Ion Stoica (co-founder of Databricks; co-director, UC Berkeley Sky Compute Lab), Dr. Raluca Ada Popa (ACM Grace Hopper Award winner; Senior Staff Research Scientist at Google DeepMind, where she leads AGI security research), and Rishabh Poddar(CTO); Imran Siddique, creator of the open-source Agent Governance Toolkit (AGT), is Chief Platform Officer. OPAQUE created the Confidential Computing Summit, now co-hosted with the Linux Foundation. Media contact: [email protected] and [email protected]
OPAQUE has launched OPAQUE 3.0, a platform bringing verifiable trust to AI agents through open governance standards, cryptographic identity and confidential execution. The company announced two open-source releases: Agent Manifest, a standard for verifiable AI agents built on the Agent Governance Toolkit, and Confidential MCP, the first Model Context Protocol implementation secured through confidential computing. The platform allows enterprises to cryptographically verify AI agent actions, producing hardware-signed evidence that auditors and regulators can independently check. OPAQUE 3.0 runs on confidential computing platforms from Intel, AMD and NVIDIA across public cloud, private cloud and on-premises environments. The Technology Innovation Institute of the UAE is a founding partner, contributing post-quantum cryptography to ensure long-term verification security. General availability is scheduled for July 2026.
OPAQUE extends the Agent Governance Toolkit with verifiable identity and first ever verifiably governed and secure MCP. OPAQUE open-sources Agent Manifest, extending the governance framework created by AGT creator Imran Siddique OPAQUE is launching OPAQUE 3.0 to make independent AI verification an open standard for enterprises and regulators with support from TII, AMD and NVIDIA SAN FRANCISCO, June 23, 2026 /PRNewswire/ - Today, at the Confidential Computing Summit, the event OPAQUE created and now co-hosts with the Linux Foundation, OPAQUE announced OPAQUE 3.0, a new platform that brings verifiable trust to AI agents through open governance standards, cryptographic identity, and confidential execution. For the first time, an enterprise can prove what its AI actually did, what it ran, and where it ran instead of asking customers and regulators to take its word for it. The announcement includes two major open-source milestones: the release of Agent Manifest, a new open standard for verifiable AI agents built on the Agent Governance Toolkit (AGT), and the launch of Confidential MCP, the first Model Context Protocol implementation that is both verifiably governed and secured through confidential computing. Together, these technologies allow enterprises to move beyond "trust us" AI. Organizations can now verify what an AI agent is, what it is allowed to do, what it actually did, and whether governance policies were enforced throughout execution. Three forces have made "trust us" indefensible. Today's frontier models make it increasingly likely that enterprises will need to assume untrusted behavior inside their environments. AI agents routinely interact with sensitive data and external systems, creating new governance and security challenges. New regulations increasingly demand evidence, not assertions: proof of what ran, where it ran, and under what rules. That proof must be automated, hardware-signed, and independently verifiable. OPAQUE 3.0 answers all three. Apple settled this argument for consumer AI with the launch of Private Cloud Compute; "trust me" became "verify me." OPAQUE 3.0 brings that same standard to enterprise AI. Enterprises can apply it to the AI they already run - no rewrites, no new platform required - with every AI action executed under governance enforced in hardware and producing a signed receipt that an auditor, a regulator, or a customer can check on their own, without trusting OPAQUE or the company operating the AI. It runs on the CPU-based confidential computing platforms from Intel, AMD, and NVIDIA. And, on NVIDIA Confidential Computing, the integration brings GPUs inside the Trusted Execution Environment. OPAQUE 3.0 runs across public cloud, private cloud, and on-premises environments. OPAQUE's approach builds on AGT, the open-source governance framework created by Imran Siddique during his time at Microsoft. Siddique recently joined OPAQUE as Chief Platform Officer and has led the development of Agent Manifest and Confidential MCP, extending AGT from governance policy definition to cryptographically verifiable enforcement. Zero trust rebuilt network security on one rule: never trust, always verify. OPAQUE is applying the same doctrine to AI agents, with an open standard and three working pieces beneath it: * Agent Governance Toolkit (AGT). Created by Imran Siddique and released as open source, AGT has quickly emerged as a leading framework for defining what AI agents may do, what data they may access, and what governance policies they must follow. AGT has attracted roughly 4,100 GitHub stars in its first six weeks. * Agent Manifest. Released as open source today, Agent Manifest extends AGT by giving every AI agent provable runtime integrity. Organizations can cryptographically verify what an agent is, what resources it can access, who approved it, and which governance policies apply. An altered or unauthorized agent can no longer masquerade as an approved one. * Confidential MCP. OPAQUE has extended AGT governance into the Model Context Protocol, creating the first verifiably governed and secure MCP implementation. Running inside OPAQUE's confidential runtime, Confidential MCP enforces governance policies in hardware and produces independently verifiable evidence of every tool call and action performed by an agent. The standard is open by design; how the industry verifies AI should not belong to any one vendor. The Technology Innovation Institute (TII) of the United Arab Emirates is a founding partner, anchoring the standard in sovereign-AI deployments. The partnership also reaches past today's threat model. OPAQUE and TII are bringing TII's post-quantum cryptography into OPAQUE 3.0, so agent identities and signed evidence remain verifiable even against quantum-era adversaries. An audit record is only as good as the cryptography it will face decades from now: data harvested today gets decrypted by tomorrow's quantum machines, and regulators in the UAE and beyond are already mandating post-quantum readiness for AI systems. OPAQUE will name founding coalition members at launch, and the standard and both implementations are open today at github.com/agentrust-io. OPAQUE 3.0 is in active engagements across leading enterprises in the U.S. and abroad: major financial-services institutions, several of the world's most valuable enterprise-software companies - the platforms the Forbes Global 2000 runs on - and national sovereign-AI buildouts. "The more autonomous your AI agents become, the more your security posture has to keep pace - capability without accountability is a liability," said Aaron Fulkerson, CEO of OPAQUE. "Organizations deploying AI agents are stuck on a question existing tooling can't answer: is this agent still governed the way I intended, and can I prove it to someone with no reason to trust me? OPAQUE 3.0 provides hardware-enforced governance and independently verifiable evidence of agent activity. That's what we're shipping and opening today." "The future of AI depends on unlocking the data organizations have never been able to touch. Most organizations sit on a corpus of data too sensitive to use and too valuable to ignore. OPAQUE is the only platform delivering hardware-attested cryptographic evidence across the full AI lifecycle - training, fine-tuning, inference, and agents - with protections engineered to withstand quantum-era threats. That combination doesn't exist anywhere else in the market today." - Ion Stoica, Co-Founder of OPAQUE "As AI agents take on more complex enterprise workflows, trust has to be built on verifiable evidence, not assumptions. AMD SEV provides hardware-rooted protection and attestation for confidential VM deployments, and OPAQUE 3.0 support for AMD SEV technology helps enterprises apply those capabilities to governed AI agent environments across public cloud, private cloud and on-premises infrastructure." - Madhu Rangarajan, Corporate Vice President, Server Product Management, AMD. "Sovereignty in the AI era requires more than ownership of infrastructure. It requires the ability to independently verify how AI systems are governed and operated. Open and verifiable standards enable nations to establish trust through evidence and proof rather than assurance. By combining these standards with post-quantum cryptography, we can ensure that this trust remains secure and verifiable not only today, but well into the quantum future." - Dr. Najwa Aaraj, CEO, Technology Innovation Institute. "As enterprises scale agentic AI, the ability to protect sensitive data and proprietary models in use is foundational to success. OPAQUE's integration of NVIDIA Confidential Computing delivers hardware-rooted security so organizations can unlock the full value of their data with the confidence that it remains secure, compliant and uncompromised." - Ali Golshan, senior director, AI Software, NVIDIA. Availability. OPAQUE 3.0 debuts today at the Confidential Computing Summit, with general availability in July 2026. Agent Manifest is being released as open source today and joins AGT as part of an open governance stack for AI agents. https://github.com/agentrust-io Confidential MCP, the first verifiable implementation of the Model Context Protocol, is available to developers today through OPAQUE 3.0. https://github.com/agentrust-io OPAQUE will also launch the agentrust-io Fellowship, a sponsored program created by Chief Platform Officer Imran Siddique that invites security engineers, researchers, and compliance practitioners to build on the open standard alongside its maintainers, with applications opening this August. About OPAQUE OPAQUE is the Confidential AI company. Born from UC Berkeley's RISELab (now the Sky Compute Lab), OPAQUE lets organizations run AI models, agents, and workflows on their most sensitive data with hardware-rooted isolation and verifiable evidence that approved governance policies were actually enforced. Founded by Dr. Ion Stoica (co-founder of Databricks; co-director, UC Berkeley Sky Compute Lab), Dr. Raluca Ada Popa (ACM Grace Hopper Award winner; Senior Staff Research Scientist at Google DeepMind, where she leads AGI security research), and Rishabh Poddar (CTO); Imran Siddique, creator of the open-source Agent Governance Toolkit (AGT), is Chief Platform Officer. OPAQUE created the Confidential Computing Summit, now co-hosted with the Linux Foundation. SOURCE OPAQUE
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Industries
Data & Analytics
Enterprise Software
Cybersecurity
Company Size
11-50
Company Stage
Series B
Total Funding
$55.5M
Headquarters
San Francisco, California
Founded
2020
Find jobs on Simplify and start your career today