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Skip to main content Custody multiplication is the risk. We refuse to add to it. The premise Every breach headline of the last decade shares one precondition: a system was holding identifying data it did not need to hold. The conventional martech, CDP, and intent stack is built on accumulation, it ingests your clients’ personal data, copies it, enriches it, and stores it in systems you cannot inspect. Holding your own clients’ data is your business and belongs with you; the danger is that each additional tool which takes a copy becomes a new breach surface and one more outsider who learns who your discreet clients are. For an enterprise whose growth depends on UHNW and VHNW clients, that multiplying custody is an existential liability, because a single incident is legal, regulatory, and reputational at once. HiveSilo takes the opposite position. Rather than promising to secure your clients’ personal data better than everyone else, we ensure that no HiveSilo-controlled system receives or stores your clients’ identities. Intelligence is produced from first-party, non-PII behavioral signals, while the identifying data stays sealed inside a hardware enclave that you control and that HiveSilo cannot see into. This is the core of our security model and the reason it survives adversarial review: on our side there is no central trove of client identities to steal, subpoena, or leak. This page sets out the controls behind that claim, organized the way a CISO, CTO, or General Counsel reads a security posture: what is live today, what is rolling out and framed honestly as such, and what you can verify for yourself without taking our word for it. The AI-era liability this is built against Enterprises are now shipping AI-generated code at scale, much of it authored by non-experts, and a great deal of it appears to add features while quietly introducing security and privacy defects. That debt compounds invisibly, and the resulting breaches surface months or years later, when remediation is far costlier and reputations are already exposed. A security model that depends on the perfection of fast-moving, partly AI-authored code is no security model at all. Ours is designed to remain safe even when the code is imperfect. Read the full thesis AI-generated code ships at scale Debt compounds invisibly Breaches surface, months or years later Sealed-PII architecture Live Foundational control This is the single control on which everything else rests: HiveSilo never receives, stores, or can decrypt your clients’ personal data. The sealed boundary Engineering drawing HS-SEC-01. Personal data submitted on your website travels directly into your own per-tenant confidential VM, a hardware Trusted Execution Environment, where CRM writes, ad-platform dispatch and closed-loop attribution run under your own keys. It never transits HiveSilo systems. Separately, first-party non-PII signals reach HiveSilo, the intelligence layer, which returns only a sealed buyer-intent result across the hardware boundary. An attempted join of a behavioral score back to a named person is drawn crossed out at the boundary: HiveSilo receives the signal, never the identity, and cannot see into your enclave. Origin Your website Personal data submitted here First-party, non-PII behavioral signals observed here Form PII, straight to your enclave Never transits HiveSilo systems Sealed Your per-tenant confidential VM A hardware Trusted Execution Environment (TEE) Under your own keys CRM writes Ad-platform dispatch Closed-loop attribution Every operation that touches personal data happens in hardware HiveSilo cannot see into. Hardware boundary First-party, non-PII signals No re-identification surface Sealed buyer-intent result HiveSilo The intelligence layer Receives the signal, never the identity No HiveSilo-side database of identities Cannot see into your enclave General notes 1. By design, not by policy. 2. The scoring observes patterns and readiness; it never sees identities. 3. The personal data and the keys reside on your side of the hardware boundary. Drawing HS-SEC-01 Title The sealed boundary Revision 2026-07 · Specimen Status Live No HiveSilo-controlled system receives or stores identity HiveSilo does not receive, retain, or hold the keys to decrypt personal information, and there is no HiveSilo-side database of your clients’ identities, by design, not by policy. By design, there is no HiveSilo-side vault of client identities to breach. Processing happens inside your TEE CRM writes, ad-platform dispatch, and closed-loop attribution all run inside your enclave, under your own keys. Every operation that touches personal data happens in hardware HiveSilo cannot see into. Form PII goes straight to your enclave Personal data submitted on your website travels directly from your site into your own per-tenant confidential VM, a hardware Trusted Execution Environment (TEE). It never transits or lands in HiveSilo systems. Intelligence without custody HiveSilo scores first-party, non-PII behavioral signals into a buyer-intent result, and that sealed result is delivered into your enclave. The scoring observes patterns and readiness; it never sees identities. Pseudonymous by construction The intelligence layer operates on behavioral patterns rather than people, which is precisely what lets you add genuine buyer intelligence without any HiveSilo-controlled system receiving or storing who your clients are. No re-identification surface on our side Because the identifiers and the signals sit on opposite sides of a hardware boundary, there is nowhere within HiveSilo that a behavioral score can be joined back to a named person. We describe the architecture rather than its internal data-flow topology or latency characteristics. The point a reviewer needs is both simple and verifiable: the personal data and the keys reside on your side of a hardware boundary, and HiveSilo sits on the other side of it. Isolation & access Tenant safety Multi-tenant isolation is enforced at the hardware level, not by application logic that a single bug could undo. 01 Hardware-level multi-tenant isolation Live Tenants are separated at the hardware boundary, so that one customer’s workload cannot reach another’s. Isolation does not depend on careful application code remembering to check a tenant identifier on every path; the strongest guarantee sits at the lowest layer. 02 A dedicated confidential VM per tenant Live Each customer receives an isolated, hardware-attested enclave of their own. Your sensitive processing and your keys live within your VM, never in a shared pool and never co-mingled with another enterprise’s data. 03 RBAC & least privilege Live Role-based access control with least-privilege defaults governs every human and service identity. Access is granted to the minimum required and enforced consistently across the platform. 04 Data residency & egress allowlist Live You determine where data resides, and outbound traffic is constrained by a locked egress allowlist that permits no quiet exfiltration and no unexpected third-party calls. What may leave the enclave is an explicit decision rather than a default. 05 BYOK / customer-managed keys Available Bring-your-own-key support is available, so that the keys which seal your enclave are held and rotated by you, supplied directly or fetched at runtime from AWS KMS, Azure Key Vault, or GCP Cloud KMS, and activated per tenant. 06 Right-to-be-forgotten & privacy center Live Because personal data lives in your enclave under your keys, deletion and subject-rights requests are honored at the source. A privacy center supports the operational side of compliance. Privacy center Supply chain & the AI-era code threat Build integrity We treat AI-generated and agentic code risk as a first-class threat, and we build so that integrity does not depend on every line being perfect. The central liability of this era is that organizations ship vast amounts of AI-authored code that appears correct and quietly is not. A serious enterprise cannot address that by promising its developers, human or AI, will never make a mistake; it must address it through architecture and provenance. The discipline is to build the system so that a defect cannot silently widen the blast radius, and to make the artifact you run cryptographically equal to the artifact you reviewed. HiveSilo enclaves are therefore hardware-attested and run on signed, provenance-attested and measurement-pinned production images. Signed provenance and a pinned measurement tie the running enclave back to the exact image that was reviewed, leaving no gap through which an unreviewed or tampered artifact could slip into production unnoticed. Hardware attestation then allows that identity to be checked independently rather than asserted by us. Our supply chain is signed end to end, so that the provenance of what runs is verifiable rather than assumed. We govern AI-generated and agentic code as a named risk class with controls of its own; what we deliberately do not publish is the detection logic itself, since that is precisely the kind of detail an adversary or a copycat would turn against the system. Why this matters to your risk model The breaches arising from today’s AI code debt are expected to surface months or years from now. A vendor that holds your clients’ data and runs on unverifiable, fast-moving code represents two compounding liabilities stacked together. Refusing custody, combined with attested and measurement-pinned builds, removes both at once. Live Attested, measurement-pinned enclaves Published build Running enclave What runs equals what was reviewed, and you can verify the identity of the enclave rather than rely on our description of it. The AI-era data liability Agentic governance & kill-switch Live AI control surface A fail-closed control plane for AI agents: when policy cannot be satisfied, the action does not happen. The fail-closed gate Diagram HS-SEC-02. An agent action arrives at the policy gate. Where policy is satisfied, the action proceeds; where a policy check cannot be evaluated or satisfied, the action is blocked rather than allowed through, which is the fail-closed default; where the action is high-consequence, it is held for human approval. A per-decision kill-switch sits on the proceeding lane so an individual decision can be halted rather than the whole system. Every governed decision is recorded. A fail-closed control plane for AI agents When policy cannot be satisfied, the action does not happen Input An agent action Requested Policy gate Evaluated Fail-closed by default Policy satisfied The action proceeds Allowed through, and recorded Per-decision kill-switch Halt one decision, not the whole system Cannot be evaluated or satisfied Blocked, not allowed through Fail-closed High-consequence Held for human approval The control plane enforces the rule Every governed decision is recorded What an agent did, and what it was prevented from doing Fail-closed by default Governance over AI agents fails closed. When a policy check cannot be evaluated or is not satisfied, the agent’s action is blocked rather than allowed through, the opposite of the fail-open behavior that quietly produces incidents. Per-decision kill-switch Control is granular, so that individual agent decisions can be halted rather than only whole systems. You retain the ability to stop a specific action, or a class of actions, without taking everything down. Human-in-the-loop policy enforcement High-consequence actions are gated behind policy that can require human approval, and the control plane enforces the rule rather than relying on an operator to remember it. Full auditability Every governed decision is recorded, so that what an agent did, and what it was prevented from doing, can be reconstructed after the fact for review and due diligence. AI agentic governance AI firewall The agentic governance and kill-switch control plane is live, and is activated per tenant as part of platform onboarding. Merchant-site hardening Live Reduce your surface Your website is part of your attack surface. We scan it daily, so that weaknesses are surfaced before they become incidents. The daily inspection Diagram HS-SEC-03. Your website sits at the centre as part of your attack surface. Six inspection lanes point in at it: security headers, third-party script risk, consent timing, DNS posture, exposed paths, and privacy compliance. The surface is scanned daily. Daily merchant-site hardening Weaknesses surfaced before they become incidents Security headers Third-party script risk Consent timing Your website Part of your attack surface Scanned daily DNS posture Exposed paths Privacy compliance Security headers Daily checks for missing or misconfigured response headers that leave a site needlessly exposed. Third-party script risk Identification of the third-party tags and scripts that can quietly introduce supply-chain and privacy exposure. Consent timing Verification that consent is captured before the behavior that requires it, a frequent and costly compliance gap. DNS posture Monitoring of DNS configuration for the misconfigurations that enable takeover and spoofing. Exposed paths Detection of inadvertently reachable paths and resources that should never be public. Privacy compliance Continuous checks against the privacy obligations that matter most when your buyers are UHNW and the stakes are existential. We report to you the categories we scan and the findings we identify, but we do not publish our internal audit script names or raw findings, which would only help an attacker map the same surface. Bot & invalid-traffic defense Live Integrity & spend Bots corrupt your intelligence and burn your advertising budget. Removing them protects both the signal and the spend. HiveSilo removes bots and invalid traffic across the major advertising platforms. Doing so keeps your buyer-intent intelligence clean, scoring genuine human behavior rather than automated noise, and it protects advertising spend that would otherwise be wasted on traffic that can never buy. Clients report meaningful reductions in ad waste as a result, though these are client-reported figures and not a guarantee. Defense compounds across the network. Through cross-tenant network immunity, a threat pattern observed at one tenant can harden the others, but only by way of privacy-preserving aggregates. We employ techniques such as k-anonymity and differential privacy, so that the shared artifact is statistical and never one customer’s data crossing to another. No customer data is ever shared between tenants. Live Cleaner intelligence Incoming traffic Bot & invalid-traffic gate To scoring Invalid traffic is stripped out before it can distort scoring Invalid traffic is stripped out before it can distort buyer-intent scoring. Privacy-gated Cross-tenant network immunity One tenant Privacy-preserving aggregates k-anonymity, differential privacy The others No customer data between tenants Shared bot and threat defense operates through privacy-preserving aggregates, so the network grows smarter without any customer data changing hands. Ad-waste reductions are client-reported and not a guarantee. We do not publish bot-detection heuristics or thresholds, since doing so would teach adversaries how to evade them. Audit, evidence & honest certification posture Due-diligence readiness A security claim you cannot verify is merely marketing. Ours is designed to be checked. Live Append-only audit & runtime receipts Append-only Runtime receipts 0001 0002 0003 Next Reviewed in due diligence, not reconstructed from memory Operations are recorded into an append-only audit trail, accompanied by runtime receipts that make platform state attestable. The record is built so that it can be reviewed in due diligence rather than reconstructed from memory. Live Signed daily evidence Hashed and signed daily A single point-in-time snapshot Tamper-evident evidence, accumulating over time Security and runtime state is hashed and signed on a daily cadence, producing tamper-evident evidence that accumulates over time rather than a single point-in-time snapshot. Our certification posture, stated honestly HiveSilo is not certified, and we do not display badges that imply otherwise. What is true: our controls are mapped to recognized security frameworks, and our confidential-compute infrastructure runs on an independently audited platform. We will not claim a certification as achieved until the issuing body confirms it, overstating a control is fraud, and we treat it that way. We will name the firms and publish results once those engagements complete, never before. Verification that does not go stale. A traditional certificate is a snapshot, accurate the day it is issued and outdated the moment code changes. HiveSilo is different: our security posture is self-attested with evidence and refreshed continuously on every change, with daily automated security scans of the live surface. You verify the current state, not last year’s paperwork. Does HiveSilo store our customers’ personal data? No. By design, HiveSilo never receives, stores, or can decrypt customer PII. Personal data flows directly from your website into your own per-tenant confidential VM (a hardware TEE) and is processed there under your keys. There is no HiveSilo-side store of customer identities to breach. What can HiveSilo actually see? First-party, non-PII behavioral signals, which it scores into a buyer-intent result. It works on pseudonymous patterns, not identities, and it cannot see into your enclave where the personal data and CRM/ad processing live. How is one tenant isolated from another? Isolation is enforced at the hardware level, with a dedicated confidential VM per tenant, RBAC, least-privilege defaults, and a locked egress allowlist. The strongest boundary sits at the lowest layer, not in application code. How do you handle the risk of AI-generated code? We treat AI-generated and agentic code as a first-class threat. Enclaves are hardware-attested and run on signed, provenance-attested and measurement-pinned production images, so what runs equals what was reviewed, the supply chain is signed, and fail-closed agentic governance constrains what agents can do. We don’t publish the detection logic itself. Are you certified? See every certification and badge we currently hold, the ones we are scheduled to obtain, and what is on the roadmap for 2026 and 2027 on our Trust Center. It is kept current as each issuing body confirms, so it is always the live status rather than a marketing page. Our controls are mapped to recognized security frameworks. Can we verify any of this ourselves? That’s the intent. Each tenant gets an isolated, hardware-attested enclave you can independently verify, and the Trust Center is the public home for attestation and verification. A downloadable security package and a public verify API are available. Bring your security team. We built this to be interrogated. A private briefing, conducted under NDA, walks your CISO, CTO, and General Counsel through the architecture, the honest certification posture, and what verification looks like for your own enclave. Alternatively, you can begin at the Trust Center. Request a private briefing Open the Trust Center