Now Live, Deploying Globally

What It Is

What AxiSentinel Is

AxiSentinel is live and deployed today across cloud, on-premises and air-gapped environments, a patent-pending, configurable monitoring architecture built specifically for AI compliance evaluation. It is not a dashboard that displays numbers someone typed in. It is a live evaluation engine: agents capture system telemetry, AxiSentinel evaluates it against the specific regulatory framework that applies, and any threshold breach becomes a Provisional Alert, flagged, timestamped, and routed to a qualified AxiLayer AI auditor for review.

Nothing AxiSentinel flags becomes a compliance finding until a qualified AxiLayer AI auditor signs it.

How It Works

How a Finding Becomes a Certificate

01
Continuous Evaluation
AxiSentinel agents evaluate client AI systems against the applicable regulatory framework on the cadence you configure, from continuous to On Demand. A threshold breach generates a Provisional Alert, not a finding, not a certification, a flag for human review.
02
Qualified Human Review
A qualified AxiLayer AI auditor reviews the underlying evidence, validates or overrides the alert, and applies a cryptographic signature. This is the step where a flag becomes a legally meaningful finding.
03
Compliance Passport Issued
Once signed, the finding is committed to AxiLayer's cryptographic evidence chain and a Compliance Passport is issued, tamper-evident, traceable, and built to hold up under regulatory scrutiny.
Third-Party Validated

Aligned with MAS's Own SAFR Framework

On July 3, 2026, the Monetary Authority of Singapore published “Safeguards for Agentic Finance at Runtime (SAFR)” under its BuildFin.ai initiative, proposing a governance checkpoint that sits between every AI agent's proposed action and its execution: verified against policy, then recorded, before anything is allowed to run. Steps 01 and 02 above already function as exactly this kind of pre-execution checkpoint. SAFR was published after AxiSentinel's own architecture was already built around this pattern, not the other way around.

Continuous by Design

The AI Audit Power Tool

Most compliance tools show you a snapshot. AxiSentinel runs continuously, which means the gap between "something changed in your AI system" and "someone qualified knows about it" shrinks from a quarterly review cycle to real time. Every alert AxiSentinel generates carries the specific regulatory citation it's evaluated against, the system it came from, and a full evidence trail, so when a human auditor reviews it, they're reviewing evidence, not starting from scratch.

AxiSentinel Command Center access is by invitation only. If your organization is ready to bring AxiSentinel into a live environment, request a briefing and we'll scope your first deployment together.

Command Center Access AxiSentinel Command Center Access is by invitation, request a briefing →
AxiSentinel Command Center dashboard visualization

Intellectual Property

The Patents Behind It, and Protection Beyond the United States

AxiSentinel's core architecture is patent pending in the United States, and international protection is being pursued. The platform's software, methods and data are also protected worldwide by copyright, trade secret law and contract.

U.S. Patent Application Pending

Regulation-Encoded Compliance Detection

Regulatory requirements encoded as machine-executable detection logic, updated as regulations change.

RegDef Architecture
U.S. Patent Application Pending

Continuous AI Audit Architecture with Cryptographic Evidence Chain

Continuous audit evidence linked into a signed, tamper-evident chain.

Cryptographic Evidence Chain
U.S. Patent Application Pending

Compliance-Conditional Live AI Certification Registry

Certificate status driven by continuous compliance evidence and checkable at any time.

Live Certification Registry

Protection beyond the United States

Four layers work together: the U.S. filings, international filing under the Patent Cooperation Treaty, trade secret and contract protection, and copyright and trademarks.

United States

Patent applications on file with the United States Patent and Trademark Office.

Patent pending.
International filing

A Patent Cooperation Treaty (PCT) application claiming the U.S. priority date can preserve the right to seek protection in more than 150 contracting states, including Thailand, Singapore, Japan, Korea, Vietnam, Malaysia, China, the United Kingdom and the European Patent Office.

International protection is being pursued within the 12-month Paris Convention priority period.
Trade secret and contract

The RegDef regulatory corpus, detection logic, evaluation method and evidence-chain implementation are trade secrets. AxiSentinel is delivered as a service by AxiLayer AI, including in-region deployments; no source code is distributed. Unpublished patent applications are not shared. Every partner, client and pilot works under a mutual non-disclosure agreement with no-reverse-engineering and no-derivative-works terms.

In force in every jurisdiction where AxiLayer AI operates.
Copyright and trademarks

The platform software, documentation and reports are protected by copyright. AxiLayer AI, AxiSentinel and AxiReady are trademarks of AxiLayer AI, Inc.

Read the Intellectual Property Notice

AxiSentinel™ and the AxiSentinel architecture are patent pending in the United States, with international protection pursued under the Patent Cooperation Treaty within the Paris Convention priority period. AxiLayer AI, AxiSentinel and AxiReady are trademarks of AxiLayer AI, Inc. The platform software and documentation are protected by copyright. Unpublished patent applications are not disclosed; the regulatory corpus, detection logic and evidence-chain implementation are trade secrets of AxiLayer AI, Inc. and are made available only under written agreement. See the Intellectual Property Notice.

Platform Capabilities

Built for Regulated Enterprise and Government

AxiSentinel operates across every deployment environment where AI systems run -- cloud, on-premises, mobile, and classified air-gapped facilities.

Configurable Continuous Monitoring

Intercepts every AI inference event. No sampling. No gaps. No human intervention required between regulatory updates.

Cryptographic Evidence Chain

A signed, tamper-evident evidence chain links every audit record to the one before it. Evidence is defensible on day one.

Human Oversight Gap Detection

Tracks human involvement in AI-driven decisions at the point of evaluation and feeds it into AxiSentinel's oversight-gap scoring model, so a human being in the loop is something you can show evidence for, not just claim.

Air-Gap and Classified Support

The .axibatch binary format enables continuous audit evidence generation in disconnected and classified environments with no network connectivity required.

208+ Regulatory Frameworks, 870+ Obligations, 62+ Jurisdictions in 43 Countries

RegDef packages currently encode 870+ obligations across 208+ regulatory frameworks spanning 62+ jurisdictions in 43 countries, including:

  • EU AI Act
  • NIST AI RMF
  • ISO/IEC 42001
  • ISO/IEC 23894
  • Colorado ADMT Act (SB 26-189)
  • NYC Local Law 144
  • SR 11-7
  • ECOA
  • HIPAA
  • South Korea AI Basic Act
  • China Intelligent Agents Regulation (CAC/NDRC/MIIT)
  • Singapore IMDA Model AI Governance Framework for Agentic AI
  • OWASP Top 10 for Agentic AI Applications
  • Colorado Neural & Biometric Data Act (HB24-1058)
  • California Neural Data Protections (SB 1223)
  • NERC CIP-013 (Critical Infrastructure Supply Chain)
  • ISO 10218 (Industrial Robot Safety)

New jurisdictions are added by encoding new RegDef packages, without modifying deployed agents.

Certification Registry, Built Into the Architecture

A compliance-conditional certificate registry, with a real-time public status check for any AxiSentinel-monitored system. It's next on the build roadmap now that the evidence chain and RegDef engine are live; ask your AxiLayer AI representative for the current rollout timeline.

Agentic AI Governance Monitoring

As AI systems shift from generating outputs to taking autonomous action, calling tools, and coordinating with other agents, RegDef packages extend to agentic-specific governance frameworks, evaluating tool permissions, action logs, escalation protocols, and inter-agent communication against emerging autonomous-AI oversight standards.

Physical & Embodied AI Monitoring

Extends continuous evaluation to embodied and physical AI systems, including industrial robotics and autonomous machinery, evaluating AI decision-making against both AI-specific governance frameworks and established physical safety standards for equipment operating near human workers.

Agent Observability, Not Just Agent-Powered Monitoring

Most AI governance tools use AI agents to check regulatory boxes. AxiSentinel does the opposite: it observes how your own AI agents behave, in production, against the regulations that actually apply to them. This is a distinct layer from general-purpose AI process observability, it's built specifically to answer one question: is this agent doing what the regulation requires, right now.

Regulatory frameworks for autonomous AI agents are emerging worldwide, from the EU to South Korea to China. AxiSentinel's human-sign-off architecture, requiring a certified auditor to cryptographically approve every Compliance Passport, was designed from the outset to meet exactly this kind of oversight requirement, wherever in the world it takes shape.

Performance

Engineered for Real-Time Compliance

Continuous compliance only works if it keeps pace with production AI. AxiSentinel evaluates, signs, and broadcasts at machine speed, so evidence is generated in line with each AI decision rather than reconstructed afterward.

< 20 ms
RegDef rule evaluation
Per AI event, against every applicable regulatory rule.
< 500 ms
Certificate-status broadcast
A compliance state change propagates network-wide as it happens.
Signed & Chained
Linear evidence chain
Every audit record is linked to the one before it in a signed, tamper-evident evidence chain, verifiable from the first event.
26 fields
Audit Telemetry Event
A structured schema captured for every monitored AI decision.
Identity 7
Compliance 7
Evidence 6
Certification 6

AI Security

Compliance and Active AI Threat Defense in One Platform

AxiSentinel does more than record what an AI system did: it watches for the ways AI systems are attacked and degraded. The same agent that generates compliance evidence also defends the model stack against manipulation, poisoning, and drift.

Adversarial Input Detection

Identifies and blocks manipulated or spoofed inputs to perception and decision AI before they can corrupt a model's output.

Model-Update Poisoning Prevention

Every model update is re-certified against all applicable frameworks before deployment is authorized, so a poisoned update never reaches production.

Model-Drift and Guardrail Detection

Catches model drift and guardrail breaches in real time, surfaced and evidenced before they would ever appear in a regulatory review.

AI Phishing and Behavioral Auditing

Monitors the full AI stack for phishing attempts and anomalous agent behavior, extending compliance monitoring into active threat intelligence.

Synthetic Media & Identity Assurance

Extends behavioral monitoring to detect AI-generated synthetic media, including voice cloning and deepfake video used in impersonation and social-engineering attacks against AI systems and the organizations operating them.

Deploy Anywhere

Every Cloud. No Interference. Fully Protected.

AxiSentinel is configured to each client's needs: the cloud you choose, the region your rules require, and the level of protection your data demands. It goes where your AI runs and where your data is required to stay: inside your own cloud tenant, in your data center, in a sovereign or government cloud, in a dedicated AxiLayer AI instance in the Azure region you choose, or fully air-gapped with no network connection at all.

No interference. AxiSentinel deploys alongside your systems without modifying them, and your teams keep full control of their production environments. One platform, one evidence chain, every jurisdiction: evidence produced in Frankfurt, Riyadh, Singapore or Washington carries the same signed, tamper-evident record.

3
deployment models: your environment, hosted in-region, or air-gapped
80+
Microsoft Azure regions available for in-region hosting
Any cloud
client-hosted on any public, sovereign or private cloud
0
network connections required for air-gapped operation

In Your Environment

How it runs
The AXI-Node agent runs inside your cloud tenant, data center or operational network as a Kubernetes sidecar, serverless extension or on-premises binary.
Where data lives
In your environment, under your control.
Best for
Banks, health systems, regulated enterprises, sovereign and national programs.
Who can access
Your team, and AxiLayer AI auditors only with your authorization.

Hosted by AxiLayer AI

How it runs
A dedicated AxiSentinel instance on Microsoft Azure, with its own database, in the region your engagement requires.
Where data lives
In the Azure region you select.
Best for
Organizations that want a managed service with in-region hosting.
Who can access
Your team and assigned AxiLayer AI auditors.

Air-Gapped

How it runs
The .axibatch format generates and transfers evidence with zero network connectivity.
Where data lives
Inside your facility; evidence moves only on media you control.
Best for
Defense, intelligence, classified, OT and critical infrastructure.
Who can access
Your team on site.

Global Hosting Footprint

Hosted Where You Need It

AxiLayer AI hosts AxiSentinel on Microsoft Azure, the world's largest cloud footprint, with more than 80 regions announced across 34 countries. When your rules require in-region hosting, we stand up a dedicated AxiSentinel instance, with its own database, in that region. Each regional instance is separate, so data from one region never mixes with another.

Americas

United States, Canada, Brazil.

Europe

Netherlands, Ireland, Germany, France, Sweden, Italy, Poland, Spain, United Kingdom, Switzerland, Norway.

Middle East and Africa

United Arab Emirates, Qatar, South Africa, and Saudi Arabia from November 2026.

Asia-Pacific

Singapore, Hong Kong, Japan, South Korea, India, Australia, Indonesia, Malaysia.

Where Azure has no local region, AxiSentinel runs inside your own environment or a national government cloud, so data still stays in-country.

Your Cloud, Your Choice

Works on Every Cloud You Run

Because the AXI-Node agent runs as a container, a serverless extension or a standalone binary inside your environment, AxiSentinel works on the cloud and infrastructure you already use.

Public Clouds

Microsoft Azure, Amazon Web Services, Google Cloud, Oracle Cloud Infrastructure, IBM Cloud, Alibaba Cloud and Huawei Cloud.

Sovereign and Government Clouds

Azure Government, AWS GovCloud, Azure operated by 21Vianet in mainland China, AWS European Sovereign Cloud, Google Distributed Cloud, and national government clouds across the Gulf and Asia-Pacific.

Private and On-Premises

Kubernetes and OpenShift, VMware, bare-metal servers, edge and OT networks, telecom network functions, and classified enclaves.

No lock-in. Change clouds or regions and your evidence chain moves with you, intact and re-verifiable.

Data Residency

Your Market, Your Rules

How AxiSentinel keeps your data in place, market by market.

MarketHow AxiSentinel keeps your data in place
European UnionHosted in EU Azure regions or inside your own environment. Data Processing Agreement and EU Standard Contractual Clauses included. Supports GDPR, DORA third-party oversight, NIS2 and the AI Act's Article 78 confidentiality duties.
United KingdomHosted in UK Azure regions or in your environment, with the UK Addendum.
SwitzerlandHosted in Swiss Azure regions or in your environment, with Swiss transfer addenda.
United Arab EmiratesHosted in UAE Azure regions or in your environment, including federal health data that must stay in the UAE. DIFC and ADGM clauses available.
Saudi ArabiaInside your environment or a Kingdom-based cloud today; AxiLayer AI hosting in Azure Saudi Arabia East from November 2026. Saudi standard contractual clauses available.
QatarHosted in the Azure Qatar region or in your environment.
Mainland ChinaDeployed inside your own environment in mainland China, on Azure operated by 21Vianet, a domestic cloud or on-premises, so data stays in China.
Hong KongHosted in the Azure Hong Kong region or in your environment.
SingaporeHosted in the Azure Singapore region or in your environment.
ThailandInside your environment, the Government Data Center and Cloud (GDCC) or on-premises for government work; hosted in Singapore for private-sector clients who choose it; Thailand hosting when Microsoft opens its Thai region.
IndiaHosted in India Azure regions or in your environment, including for banking and securities data that must stay in India.
Indonesia and MalaysiaHosted in the Azure Indonesia and Malaysia regions or in your environment.
VietnamInside your environment in Vietnam.
Japan and South KoreaHosted in Japan and Korea Azure regions or in your environment.
AustraliaHosted in Australian Azure regions or in your environment, including government environments.
Canada and BrazilHosted in Canada and Brazil Azure regions or in your environment.
United States, federal and defenseInside the agency's or program's own authorized environment, on Azure Government, AWS GovCloud or on-premises, or fully air-gapped for classified work.
United States, commercialHosted in U.S. Azure regions today, or inside your environment.

Sovereignty and Access Controls

You Control the Data. We Prove the Compliance.

No Standing Access

AxiLayer AI auditors reach client-hosted systems only with your authorization, for the scope you approve, and in-country where your rules require.

Regional Separation

Every in-region instance has its own database; nothing is replicated across borders.

Encryption Everywhere

Data is encrypted in transit and at rest. Tenant signing keys are protected with envelope encryption and Azure Key Vault.

Tamper-Evident by Design

Every record in the 26-field telemetry schema links to the one before it, and every finding is signed by a qualified AxiLayer AI auditor.

Hardened Access

Two-factor authentication, a single active session, idle timeout and rate limiting on every account.

Contracts That Travel With the Data

Data Processing Agreement, EU SCCs, UK Addendum, Swiss addenda, and DIFC, ADGM, Saudi and Thai transfer clauses where they apply.

We Assure the Cloud Too

AxiSentinel continuously evaluates the cloud and third-party controls regulators now ask about:

  • DORA, including the Article 28 register of ICT third-party providers, incident reporting and continuity testing
  • NIS2 incident early warning and reporting
  • CMMC 2.0 Level 1 and Level 2 for defense supply chains handling CUI
  • GovRAMP AI controls for state and local government
  • CSA AI Controls Matrix, change and configuration control domain
  • CNSA 2.0 and NIST post-quantum cryptography transition for cloud and SaaS vendors serving federal and defense customers

Cloud-Neutral by Design

AxiLayer AI holds no reseller, referral or revenue relationship with any cloud provider. We recommend the deployment that fits your rules, never the one that pays us, and our evidence is valid on any cloud you choose today or move to tomorrow.

Your Data, Your Jurisdiction

If any government authority asks AxiLayer AI for client data, we accept only valid legal process, notify the client before disclosure unless the law forbids it, challenge requests that are overbroad or conflict with the law where the data is held, and disclose only the minimum required. In client-hosted and air-gapped deployments, operational data never leaves your environment, so it is never in our hands to disclose.

Cloud and Residency FAQ

Questions Buyers Ask First

Does AxiSentinel only run on Microsoft Azure?

No. AxiLayer AI hosts AxiSentinel on Azure, and the AXI-Node agent also runs inside your own environment on AWS, Google Cloud, Oracle, other public and sovereign clouds, on-premises, or fully air-gapped.

Can our data stay in our country?

Yes. Choose a dedicated AxiSentinel instance in your Azure region, or run AxiSentinel inside your own environment. Where no Azure region exists in your country, client-hosted deployment keeps data in-country.

Can AxiLayer AI staff see our data?

Only with your authorization, for the scope you approve. In client-hosted and air-gapped deployments the data never leaves your environment.

Does it work in mainland China?

Yes, deployed inside your own environment in China, on Azure operated by 21Vianet, a domestic cloud or on-premises, so data stays in China.

Can it run with no internet connection?

Yes. The .axibatch format runs in classified, OT-isolated and fully disconnected facilities.

What happens if a government requests our data?

We follow our government request commitment: valid legal process only, client notice, challenge overbroad requests, minimum disclosure.

If we change cloud providers, do we lose our evidence?

No. The signed evidence chain moves with you and stays re-verifiable on any platform.

Deployment

Deploys Where Your AI Systems Run

AxiSentinel's AXI-Node agent deploys in your environment without modification to your AI system's core components. Read-only. Lightweight. No vendor lock-in. It runs across any major cloud provider, on-premises, or in-region to meet data residency and localization rules worldwide, including the EU's GDPR, China's PIPL, and similar regulations across the Gulf, APAC, Latin America, and beyond.

Environment Deployment Mode Continuous Evidence Air-Gap Support
Kubernetes / Cloud Sidecar container ✓ -
AWS Lambda / Serverless Lambda Extension ✓ -
On-Premises Binary deployment ✓ ✓
Mobile (iOS / Android) SDK integration ✓ -
Telecom / Open RAN NFV network function ✓ -
Classified / Air-Gapped .axibatch format ✓ ✓

Built to Fit Your Systems

Configured Per Institution, Not Shipped as One Fixed Pipeline

Every layer of AxiSentinel is designed to be scoped to your own environment: which systems report telemetry, which RegDef packages apply to which business unit, and how findings route to your own compliance team, defined together during onboarding rather than assumed in advance. Role-based access, light and dark modes, and support across nine languages today, with more in active development, are already live. Customization isn't a roadmap promise, it's the way the platform is built to be deployed from day one. The same architecture that monitors a federal benefits system monitors a trading desk's model or a hospital's diagnostic AI: what changes is which RegDef packages are switched on. See how that plays out by industry below.

9+
Languages live today
45
Configurable roles
Per-Client
RegDef scoping

Built for Every Regulated Industry

AxiSentinel, Configured for Your Industry

One platform, RegDef packages scoped to what actually applies to you. AxiSentinel's architecture doesn't change industry to industry: what changes is which RegDef packages are switched on, and which use cases those packages are watching. Below is a sample of what that looks like in each vertical AxiLayer AI serves today, alongside the full regulatory deep dive for each industry.

Government & Public Sector

Continuous or scheduled algorithmic accountability for federal, state and local agencies, including encoded public-sector AI use policies and a Procurement Readiness Review for AI-enabled tools, with air-gapped deployment for classified environments.

  • Benefits and eligibility determination: evaluated against automated-decision safeguards and agency AI directives.
  • Public-safety and policing AI: evaluated against NIST AI RMF and applicable oversight requirements.
  • Procurement and citizen-facing chatbots: evaluated against FedRAMP-aligned controls and agency AI governance policy.
Government Capability Profile →

Financial Services & Fintech

Continuous model assurance for capital markets, asset management, insurance, and digital lending, evaluated against SR 11-7 model risk expectations and fair-lending statutes like ECOA as models retrain in production.

  • Underwriting and alternative-data lending models: evaluated against ECOA fair-lending requirements.
  • Algorithmic trading and market surveillance: evaluated against applicable SEC/FINRA-aligned oversight.
  • AML, KYC, and fraud-detection models: evaluated against Bank Secrecy Act-aligned monitoring obligations.
Explore Financial Services →

Banking & Credit Institutions

Continuous credit-decision and underwriting-model assurance across CBUAE, EU, UK, US, and APAC prudential regimes, evaluated against the framework each jurisdiction actually enforces.

  • Retail and SME credit scoring: evaluated against fair-lending statutes across US, EU, UK, and APAC regimes.
  • Model risk validation and revalidation cadence: evaluated against SR 11-7/SR 26-2 and equivalent prudential frameworks.
  • AML alert triage and sanctions screening: evaluated against jurisdiction-specific AML/CFT obligations.
Explore Banking →

Data Center & Large-Load Development

Continuous evaluation of a data center's siting, rate, water, and incentive claims against whichever state, municipal, or federal rule actually applies, distinct from the federal grid-interconnection story.

  • Municipal siting and zoning compliance review: evaluated against a city or county's own adopted framework.
  • Utility large-load tariff and cost-allocation fairness assessment: evaluated against state rate-design rules.
  • Water usage and tax incentive performance verification: evaluated against disclosure requirements and incentive agreements.
Explore Data Center & Large-Load Development →

Healthcare & Life Sciences

Continuous evaluation of clinical decision support and diagnostic AI against HIPAA and FDA/EU MDR/MHRA device obligations, catching model drift before it reaches a regulator's desk.

  • Clinical decision support and diagnostic imaging AI: evaluated against FDA Clinical Decision Support Software guidance and HIPAA.
  • Prior authorization and utilization-review AI: evaluated against the multistate pattern requiring licensed-clinician review.
  • Ambient clinical documentation tools: evaluated against HIPAA and applicable EU MDR/MHRA device obligations.
Explore Healthcare →

Defense & Intelligence

Built for classified and air-gapped environments from day one. AxiSentinel's .axibatch format generates continuous audit evidence with zero network connectivity, evaluated against DoD Responsible AI, CMMC 2.0, and NATO/allied requirements.

  • ISR and sensor-fusion systems: evaluated against DoD Directive 3000.09 autonomy-in-weapon-systems policy.
  • Logistics and predictive-maintenance AI: evaluated against CMMC 2.0 and NATO/allied requirements.
  • Command-and-control decision support: evaluated against applicable human-in-the-loop mandates.
Explore Defense →

Technology & Enterprise

Continuous assurance for AI providers, SaaS platforms, and enterprise deployers embedding third-party models, evaluated against EU AI Act GPAI duties, US state AI laws, and ISO/IEC 42001.

  • Foundation-model and GPAI provisioning: evaluated against EU AI Act Article 53/55 obligations.
  • Enterprise copilots and agentic workflows: evaluated against US state AI laws and ISO/IEC 42001-aligned governance.
  • Embedded SaaS AI features: evaluated as provider and deployer obligations shift downstream.
Explore Technology →

Infrastructure & Smart Cities

Continuous evaluation for the systems that keep the lights, water, and traffic running, evaluated against NIS2, NERC CIP-013, and the physical-safety standards that apply alongside AI-specific governance rules.

  • Grid load forecasting and dispatch AI: evaluated against NERC CIP-013 supply-chain risk requirements.
  • Water treatment and utility operations AI: evaluated against NIS2 and sector-specific critical-infrastructure rules.
  • Traffic management and autonomous-transport systems: evaluated against UNECE WP.29 and ISO/PAS 8800 road-vehicle AI safety.
Explore Infrastructure →

Robotics & Physical AI

Extends continuous evaluation from software to embodied systems: industrial robots, collaborative robots, autonomous mobile robots, and humanoid platforms operating on the floor, not just in the cloud.

  • Industrial and collaborative robot safety: evaluated against ISO 10218 industrial robot safety, live in the RegDef library today.
  • Autonomous mobile robots and warehouse fleets: evaluated against physical-safety standards for equipment operating near human workers.
  • Humanoid and general-purpose robot deployment: tracked against the EU Machinery Regulation's AI-embedded machinery obligations (applying January 2027) and emerging service-robot safety standards as they publish.
Explore Robotics & Physical AI →

Autonomous Vehicles & Mobility

Extends assurance from robotics to the road: automated driving systems, driver-assistance stacks, and the safety cases regulators now require before deployment.

  • Automated driving system safety cases: evaluated against the UNECE Global Technical Regulation on Automated Driving Systems and ISO/PAS 8800.
  • State AV permitting compliance: evaluated against Texas, California, and other state-level autonomous-vehicle permitting regimes.
  • Passenger-service AV deployment: tracked against emerging jurisdiction-specific passenger-service permit frameworks such as UK SI 2026/439.
Explore Autonomous Vehicles & Mobility →

Quantum Computing & Post-Quantum Security

Evaluates an organization’s migration to post-quantum cryptography against the deadlines regulators and standards bodies have already set, not just the ones still on the horizon.

  • Post-quantum cryptography migration tracking: evaluated against NIST FIPS 203/204/205 and CNSA 2.0’s phased 2027/2033 deadlines.
  • Federal contractor readiness: evaluated against the June 2026 quantum executive orders’ agency migration and FAR requirements.
  • Cryptographic inventory and harvest-now-decrypt-later exposure: tracked against the Quantum Computing Cybersecurity Preparedness Act’s agency reporting obligations.
Explore Quantum Computing & Post-Quantum Security →

Neurotechnology & Neural Data

Brings the same continuous-evidence model to the newest US privacy category: neural and biometric data collected by consumer and clinical devices alike.

  • Neural-data collection and consent tracking: evaluated against Colorado HB24-1058 and California SB 1223, both live in the RegDef library today.
  • Employer and insurer neural-data restrictions: tracked against Illinois SB 2994’s sector-specific bar, effective January 2027.
  • Multi-state neural-data compliance reconciliation: tracked as more states enact neural-data law through 2026.
Explore Neurotechnology & Neural Data →

Insurance & Underwriting

Evaluates underwriting and claims AI against a governance standard that has gone from model bulletin to binding state law in two years, one state adoption at a time.

  • AI governance program evidence: evaluated against the NAIC Model Bulletin, already adopted in 24 states.
  • Bias and disparate-impact testing: evaluated against pre- and post-deployment fairness-testing requirements insurers must document.
  • Multi-state bulletin-adoption reconciliation: tracked as more states adopt the Model Bulletin through 2026.
Explore Insurance & Underwriting →

Energy & Grid Infrastructure

Evaluates whether an AI operator’s own infrastructure claims, and the grid operators accommodating them, hold up under continuous evidence rather than a one-time interconnection filing.

  • Interconnection-filing accuracy evidence: evaluated against a large load’s actual grid draw versus what its interconnection application claimed.
  • Large-load tariff compliance tracking: tracked against each grid operator’s FERC-ordered rewritten tariff.
  • Grid-operator 60-day response readiness: tracked against FERC’s June 2026 large-load interconnection rulemaking deadline.
Explore Energy & Grid Infrastructure →

Synthetic Media & Deepfake Governance

Evaluates whether a platform’s actual takedown, detection, and disclosure practices match what federal law, and the states layered on top of it, require.

  • 48-hour takedown compliance evidence: evaluated against the federal TAKE IT DOWN Act’s binding removal clock.
  • Nonconsensual intimate imagery detection evidence: evaluated against platform detection and notice-and-removal obligations.
  • Political-ad deepfake disclosure compliance: tracked against state-level disclosure requirements as they take effect.
Explore Synthetic Media & Deepfake Governance →

AI Companion Chatbots & Youth Digital Safety

Evaluates whether a companion or character AI product’s actual disclosure, crisis-referral, and minor-safety behavior match what a fast-moving, twelve-state patchwork requires.

  • AI-disclosure reminder-cadence evidence: continuous evidence that a companion product delivers the disclosure reminder each state’s law requires, on schedule.
  • Suicide and self-harm crisis-referral protocol evidence: evidence that a detection-and-referral protocol fires correctly when triggered, not just that a policy describes one.
  • Minor-user content-restriction evidence: evidence that sexually explicit or romantic content is actually blocked for users flagged as minors.
Explore AI Companion Chatbots & Youth Digital Safety →

AI Employment & Workforce Decisioning

Evaluates whether a hiring, promotion, or termination model’s actual bias-testing, notice, and recordkeeping practices match what a growing four-jurisdiction patchwork requires.

  • Bias-audit continuity evidence: continuous evidence that a hiring model still tests the way its last annual bias audit said it would, not just on audit day.
  • Candidate AI-use notice compliance: evidence that candidates received the notice their jurisdiction requires, at the point their jurisdiction requires it.
  • NYC Local Law 144 enforcement-readiness evidence: preparation evidence ahead of DCWP’s own investigation, in the wake of the audit finding its enforcement gaps.
Explore AI Employment & Workforce Decisioning →

Algorithmic & Surveillance Pricing

Evaluates whether a retail, hospitality, or property-management pricing algorithm’s actual data sources and disclosures match what a growing city-by-city and state patchwork requires.

  • Personalized-pricing disclosure compliance evidence: continuous evidence that New York’s required on-screen disclosure actually appears when a price is personalized.
  • Nonpublic competitor-data usage evidence: evidence that a rent-setting or dynamic-pricing algorithm used only the data sources its terms say it uses.
  • California AG sweep-readiness evidence: preparation evidence ahead of a state investigative inquiry into pricing practices.
Explore Algorithmic & Surveillance Pricing →

AI in Education & Academic Governance

Evaluates whether instructional, assessment, and proctoring AI deployed in a district or institution actually matches what its adopted policy, mandatory or advisory, permits.

  • District AI-policy compliance evidence: continuous evidence that deployed tools match what a district's adopted policy allows.
  • Ohio §3301.24 adoption-deadline evidence: evidence that a district's required policy was actually adopted by the statutory deadline.
  • EU Annex III education readiness tracking: preparation evidence ahead of the December 2, 2027 high-risk deadline for admissions, assessment, and proctoring AI.
Explore AI in Education & Academic Governance →

Elections and Political Advertising AI

Evaluates whether a campaign, platform, or broadcaster's actual deepfake disclosure and targeting practices match what six state laws and the EU's binding transparency regime require.

  • State deepfake-disclosure and outright-ban screening: evaluated against New Mexico, Colorado, Washington, Maryland, Texas, and Mississippi law.
  • EU AI Act Article 50 deployer-disclosure evidence: evaluated against the binding deepfake-disclosure duty in force since August 2, 2026.
  • EU political-ad transparency and targeting-restriction evidence: evaluated against Regulation (EU) 2024/900.
Explore Elections and Political Advertising AI →

AI in the Legal Profession and Courts

Evaluates whether a firm's or court's actual citation-verification and AI-use practices match what Florida's binding rule, Illinois and California guidance, and Quebec's new judicial restriction require.

  • Citation-verification evidence: evaluated against Florida Rule 2.515(d)(2), binding statewide since June 15, 2026.
  • Confidentiality and third-party-verification evidence: evaluated against Illinois Supreme Court policy and California COPRAC guidance.
  • Judicial AI-use-boundary evidence: tracked against Quebec's September 2026 restriction on AI-assisted judicial reasoning.
Explore AI in the Legal Profession and Courts →

Telecommunications AI Robocalls

Evaluates whether a carrier's or contact center's actual consent, opt-out, and labeling practices match what the FCC's binding 2024 ruling and China's mandatory labeling law require.

  • TCPA prior-express-consent and opt-out evidence: evaluated against FCC Declaratory Ruling FCC 24-17.
  • AI-content-labeling compliance evidence: evaluated against China's Measures for Labeling of AI-Generated Synthetic Content.
  • Watch-list jurisdiction tracking: tracked against Canada's CRTC consultation and India's TRAI draft regulation.
Explore Telecommunications AI Robocalls →

Government and Defense

Federal Vendor. Ready for Government Engagement.

Built for the Federal Mission

AxiLayer AI is a registered federal vendor with an active CAGE Code (20JV1) and UEI (CB76ENDLMUC9), registered in SAM.gov for All Award types since June 3, 2026. We support federal procurement officers, prime contractors, and defense agencies pursuing AI governance and compliance under NIST AI RMF, DoD AI Ethics Principles, and applicable federal AI policy.

AxiSentinel's air-gap and classified environment capabilities make it uniquely suited for defense AI assurance requirements where network connectivity to external infrastructure is prohibited.

Our structural separation from all AI vendors, platforms, and technology providers ensures our assessments are defensible to government oversight bodies and Inspector General review.

Federal Credentials

SAM.gov Registration Active, All Awards
CAGE Code 20JV1
UEI CB76ENDLMUC9
Entity Type Small Business
Patent Applications Patent Pending
Accreditation Pursuit ISO/IEC 17020, In Process
Vendor Separation No AI Vendor Relationships
Full Government Capability Profile →

Why This Matters

Third-Party Standing

AxiSentinel is built and operated exclusively by AxiLayer AI, a third-party AI assessment body with no commercial relationships with any AI vendor. AxiLayer AI's ISO/IEC 17020:2026 Type A application is in process, alongside a parallel ISO/IEC 42001 application, both with a U.S.-based accreditation body signatory to the ILAC MRA and IAF MLA.

Built to Scale

Ready for Partners and Capital

AxiSentinel is the platform behind AxiLayer AI's Series A raise and its alliance ecosystem. Two ways in:

For Investors

AxiSentinel anchors AxiLayer AI's technology moat: a patent-pending architecture, a live evidence chain, and a RegDef engine that scales to new regulation without rebuilding. Serious inquiries get access to the full data room, deck, traction, IP position, and the regulatory shift driving demand.

Confidential Series A Data Room →

For Partners

Auditors, consultancies, and regional compliance specialists extend AxiSentinel's reach into new jurisdictions and industries through AxiLayer AI's alliance ecosystem.

Partner Portal →

See what continuous AI compliance monitoring looks like for your organization.

Schedule a Free Consultation Continuous vs. Point-in-Time