Autonomous agents navigate vendor portals, trading platforms, research databases and regulatory filings. The AI Agent Allowlist enforces page-type policies across 40M domains so agents read pricing and documentation without ever touching login pages, checkout flows or credential surfaces. Every one of the nine major AI agent incidents in 2026 would have been blocked.
4-layer policy enforcement
Page-type access control for autonomous AI agents. 28 functional page types mapped across 40M domains. Verified URLs only.
Explore platformBanks, asset managers and fintech companies deploy AI agents for vendor research, compliance monitoring, market data collection and procurement automation. Without page-type enforcement, those agents navigate freely across credential pages, checkout flows and writable surfaces that regulators and security teams never intended to expose.
A vendor research agent tasked with comparing SaaS pricing can follow links into login, signup and password-reset pages on vendor portals. Without page-type awareness, the agent interacts with authentication surfaces, creating credential exposure risk and triggering security alerts that compliance teams must investigate individually.
Quantitative analysts and portfolio managers adopt AI coding assistants, research summarizers and data extraction tools without IT approval. Each tool represents an unmonitored data exfiltration channel. Proprietary trading strategies, position data and client information flow into third-party AI services that may retain and train on submitted content.
SOX, GLBA and PCI-DSS require documented controls over data access. When autonomous agents browse vendor sites, research portals and regulatory databases, their navigation paths constitute data access events. Without a policy engine that maps each destination to a page type and records the decision, audit trails are incomplete.
An agent comparing cloud infrastructure pricing across AWS, Azure and GCP can follow a checkout link and initiate an unauthorized procurement workflow. Without page-type blocking on cart and checkout surfaces, a single misconfigured agent run can commit budget or create contractual obligations that require manual unwinding.
Every URL in the 40M-domain database is classified into one of 28 functional page types. Policy engines consume the classification and enforce the appropriate action. The grid below shows the default policy template for financial services deployments.
The AI Agent Allowlist serves three distinct functions within financial institutions. Each function maps to a different team and a different set of policy requirements.
Allow agents to read pricing, documentation, blog and status pages on approved vendor domains. Deny login, checkout and signup pages. Agents compare SaaS platforms, extract feature matrices and monitor vendor status without credential or procurement risk.
Block checkout and cart surfaces on all domains except a curated list of pre-approved procurement vendors. Agents gather quotes, compare terms and extract contract language while the policy engine prevents any unintended purchase commitment or subscription activation.
Allow agents to read legal, terms-of-service and privacy-policy pages across the regulatory landscape. Agents monitor changes to vendor agreements, extract new compliance requirements and flag updated terms that affect existing contracts or data-processing agreements.
Every agent navigation event is logged with the page-type classification and policy decision. Auditors can verify that no agent accessed credential, checkout or writable surfaces during a reporting period. The allowlist provides the control framework that SOX requires for automated data access.
The Gramm-Leach-Bliley Act requires financial institutions to protect consumer data. The AI Agent Allowlist ensures agents do not transmit customer information to external login or form-submission pages. Page-type enforcement acts as a data-loss-prevention layer for autonomous browsing.
By denying agent access to payment pages, checkout flows and cart surfaces, the allowlist removes autonomous agents from PCI scope entirely. Agents that never interact with cardholder data environments do not trigger PCI-DSS assessment requirements for the agent infrastructure.
Login, signup and password-reset pages are denied by default across all 40M domains. An agent that follows a redirect chain into an authentication page is stopped before it can interact with credential fields. This prevents both accidental exposure and prompt-injection attacks that attempt to exfiltrate credentials.
Malicious redirects that steer agents toward fraudulent checkout pages are blocked because checkout is a denied page type regardless of domain reputation. The policy engine does not rely on URL reputation alone. Page-type classification catches novel attack domains.
Layer 3 egress rules detect URL patterns associated with content-write operations: wiki edits, WebDAV uploads, plugin installations and API key submissions. These patterns indicate an agent attempting to exfiltrate data through legitimate-looking write endpoints on trusted domains.
The AI Agent Allowlist is not a URL reputation list or a web filter. It classifies the functional purpose of every page across 40M domains, enabling policy decisions based on what the page does, not what the domain is about.
Host list for high-value targets like cloud metadata endpoints. Page-type database for 40M domains. Egress rules for write-pattern detection. Default-deny for everything unclassified. Four layers that close the gaps a single-layer approach leaves open.
Policy architectureLogin, signup, password reset, checkout, cart, subscribe, post creation, comments, uploads, pricing, documentation, contact, careers, blog, legal, status, API docs and more. Each page on each domain is classified by what it does, not the topic it covers.
Page typesThe database covers 40M+ domains, representing 99.99% of the active internet by traffic. Every domain includes up to 20 verified URLs per page type. Links are crawled and confirmed, not guessed from URL patterns. Coverage extends to long-tail vendor sites that financial institutions routinely evaluate.
Nine documented AI agent security incidents occurred in 2026, including the OpenAI sandbox escape, the HuggingFace model-hub upload exploit, the DseWiki hijack involving 15,000 covert edits, and the JFrog Artifactory covert channel. All nine would have been blocked by the allowlist.
Sites not in the 40M-domain database are blocked until classified. Financial institutions operate on the principle that unknown destinations represent unacceptable risk. Default-deny ensures new domains, typosquatting sites and freshly registered phishing domains never receive agent traffic.
The allowlist integrates with agent frameworks, enterprise AI gateways, forward proxies and policy engines. Deployment formats include CSV, JSON and REST API. A single cron job keeps the local copy current with quarterly database updates and continuous host-list refreshes.
Integration guideDifferent teams run different agents with different risk profiles. The allowlist provides a single policy layer that adapts to each use case through page-type rules rather than domain-level blocking.
Investment banks and asset managers deploy agents to compare software vendors, extract feature matrices and monitor pricing changes across hundreds of SaaS platforms. The allowlist opens pricing, documentation and blog pages while blocking login, checkout and signup surfaces. Agents deliver structured vendor comparisons without procurement or credential risk.
Procurement teams use agents to collect quotes, compare contract terms and extract licensing conditions from vendor websites. The allowlist blocks checkout and cart pages on all domains except pre-approved procurement vendors. Agents gather everything needed for a purchase decision without triggering any transaction.
Hedge funds and quantitative research teams deploy agents to collect publicly available market signals from news sites, regulatory filings and industry publications. The allowlist ensures agents read blog, news and documentation pages without interacting with comment forms, upload endpoints or subscription checkout flows.
Compliance teams use agents to monitor changes in vendor terms of service, privacy policies and regulatory guidance documents. The allowlist permits access to legal and documentation pages across all domains while preventing agents from submitting forms, creating accounts or triggering any write operation on monitored sites.
Retail banks deploy customer-facing agents that look up product documentation, status pages and contact information on behalf of customers. The allowlist confines these agents to read-only informational pages, preventing them from navigating to login pages on third-party sites or initiating transactions outside the bank's controlled environment.
Agents that aggregate internal and external documentation for analyst workflows need controlled access to vendor documentation, API references and technical blog posts. The allowlist opens these read-only surfaces while blocking every writable endpoint, ensuring internal knowledge agents cannot leak proprietary information through external form submissions or content-write surfaces. Policy templates for knowledge agents permit documentation and blog access while denying all identity, commerce and content-write page types across the full 40M-domain corpus.
The AI Agent Allowlist handles agent-level browsing policy. Shadow AI governance, data anonymization and phishing detection each require a dedicated platform from the Alpha Quantum portfolio.
Shadow AI governance for trading desks and analyst workstations. 20,361+ AI-tool domains classified into 18 categories with four risk flags: trains on data, data sovereignty, NSFW and deepfake. Daily updates catch new tools within 24 hours of launch. Professional plan at $499 per month includes full database with bulk CSV and JSON delivery.
Shadow AI governancePCI-DSS credit card redaction, GLBA consumer data protection and SOX-compliant record anonymization. Detects 70+ PII types across text, documents, images and audio in under 100 milliseconds. Format-preserving pseudonymization maintains data utility for analytics while removing all personally identifiable information from financial records and transaction logs.
Data anonymizationReal-time phishing detection and domain intelligence for financial institutions. Classify any URL across IAB and web-filtering taxonomies with audience demographics, technology detection and brand safety signals. The 120M-domain offline database powers DNS filtering, email link scanning and customer-facing URL verification in banking applications.
Domain intelligenceEvery number below represents crawled and classified data, not estimates. The AI Agent Allowlist verifies every URL through direct analysis of page content and structure.
Agent guardrails, shadow AI governance, data anonymization and domain intelligence. Each platform operates independently and integrates through standard APIs and file formats.
Send us a list of the domains your AI agents access. We will return the page-type classification for each URL, the default policy decision and the enforcement layer that would apply. Evaluate coverage and policy accuracy before deploying to production agent infrastructure.