ElasticD3M, LLC · San Antonio, Texas · Agent as a Service

Continuous CMMC readiness, measured inside your own environment.
Evidence your assessor, your prime and your program office can each verify.

Enclave AI™ is our flagship. It performs the recurring CMMC compliance work for Defense Industrial Base contractors, keeps CUI where it already lives, and records every step in a form that anyone you choose to show it to can check for themselves.

ElasticD3M builds that same architecture across every line of business below. Each one is its own product, its own domain and its own codebase. What they share is a standard: gated agents, sealed evidence, and a named human on every decision that carries legal weight.

Explore Enclave AI for CMMC All lines of business

Why continuous evidence

Compliance used to be a moment. The obligation is now a state you have to stay in.

For a DoD contractor the DFARS clauses stay in force between assessments: a current SPRS score, an annual affirmation by a senior official, and the possibility of a government review at any time. Three things make that hard to sustain with people and periodic paperwork alone.

Point-in-time evidence goes stale

An assessment establishes your posture on one day and it is presumed until the next one. For most of its life, the record describes a past state of the environment, not the current one.
Every hand-off re-types the evidence

Compliance information moves from your systems to your staff, to a consultant, to an assessor, to a prime, to the government. Each step re-describes it, and no two parties are looking at the same thing.
Adopting a tool can widen your scope

Uploading CUI or configuration data to a vendor's cloud so a tool can examine it may bring that vendor into your assessment boundary, and it concentrates sensitive data from many contractors in one place.

The architecture, in three parts

Operational leverage for your team. Your people keep the authority.

The agents do the measurement, the drafting and the record-keeping. The judgment, the approvals and the accountability stay with named people in your organization. Every system we ship is built on the same three constraints.

Gated MCP servers

Every agent runs inside a gated Model Context Protocol server. The gate is the boundary: an agent reaches only the tools and data its declared scope names, and that scope is fixed before the run starts rather than negotiated during it. Scope is declared up front, so what an agent can touch is known before it runs.

SHA-256 sealed evidence

Every parsed line, variable dependency and execution trace emits a SHA-256 hash log, and the records chain. A later edit no longer matches the chain, so a change is visible rather than silent. Your audit package is verified against that chain before it ships.

A named human on the decisions that count

Anything that leaves the platform, moves money, reaches into a customer system, or becomes your organization's stated position waits for a person. The approval is a record with an identity, a timestamp, a scope and an expiry, and it does not carry over to the next action. There is no auto-approve mode in production.

How Enclave AI measures · Patent Pending

Measured where the data lives. Verified by anyone you choose.

Enclave AI runs on a split-plane architecture. The part that examines your systems lives inside your environment. The part we operate centrally never receives your files, only compliance state and cryptographic digests. Here is what that gives you in practice.

Measurement stays inside your boundary

A local protocol server runs in your controlled environment: on premises, in an enclave, or in your own cloud tenancy under your credentials. Everything that could contain FCI or CUI is examined there. What crosses outward is limited by form to status values, counts, ratios, timestamps, signatures and SHA-256 digests. There is no field that can carry a document, a log line or a record. Revoke the credential and measurement stops.
Every artifact is plain, readable and hashable

Your System Security Plan, POA&M, scoping package, evidence index and SPRS readiness report are kept as markdown with structured front matter. The same file is the document a person reads, the record a machine verifies and the input an agent works from. No proprietary format sits between you and your own evidence.
A hash log of every line, dependency and action

Each parsed line of each artifact, each resolved dependency between artifacts, and each agent action is written to an append-only log as a SHA-256 digest chained to the entry before it, with a sequence number and a timestamp. The storage layer refuses updates and deletes. A remote party can confirm that a stated posture corresponds to specific content at a specific time without ever receiving that content.
Continuous, not point-in-time

On every measurement cycle and every detected change, a signed record is emitted covering a declared interval and chained to the previous record. An unbroken sequence shows a requirement was met across the whole interval, not just on the day someone looked. A source that goes quiet is reported as unobserved, never as compliant, and never from a cached earlier value. Freshness and any regression are first-class values in every record.
One state, four byte-identical views

Your organization has a single canonical compliance state with one serialization and one digest. It is delivered, byte for byte, to four command-center views: yours, your C3PAO's, your prime's and the agency program office's. Access control decides which organizations a viewer may see. It never alters the content, and no view receives a re-keyed or re-described version. Two parties can confirm they are looking at the same bytes by comparing one digest.
Agents are gated by construction

A write that cannot be traced to a hashed source line is refused, so a fabricated statement becomes a rejected write rather than something to catch later. Content the agents read is treated as data, never as instructions. Deliverables render deterministically: the same artifacts produce the same bytes and the same digest every time. Content classified as FCI or CUI is processed only inside the measurement plane.
A named human on every accountable determination

Accepting the SSP, closing a POA&M item, designating scope, the annual affirmation, and any statement made to an assessor, a prime or the government are withheld until an identified person with recorded authority approves them. The approval is itself a signed, hash-logged entry. Measured status values are always shown as measurements; only a statement a person has adopted is presented as your organization's position. There is no automatic approval path.
Evidence you can hand to a third party

Point-in-time and interval evidence certificates are signed records that a named organization was in a stated status for a named requirement at a stated time or across a stated interval, verifiable offline with your published public key, without access to the platform and without disclosing the evidence itself.
Readiness only, by design

Enclave AI holds no assessment authority and conducts no CMMC assessment. Your C3PAO reads the same sealed evidence and the same byte-identical state you do, so the independence of any resulting certification is preserved while the evidence-chasing that consumes an assessment is removed.
Bounded cost, measured leverage

Agent work is metered in units that map to the human tasks it replaces, so the leverage delivered to your team is reported rather than asserted. A per-tenant inference ceiling fails closed, so the cost of the compliance function is bounded in advance.

The methods above are the subject of pending United States patent applications. The same measurement plane, hash log, signed stream, canonical state, four views and accountability gate apply to any regime where a regulated entity must continuously demonstrate conformance to an independent assessor, an upstream counterparty and an oversight authority. Only the requirement catalog and the labels on the views change.

Above every line of business · Patent Pending

MAEE AI™: the Meta-Agent Evolution Engine

Every product below is operated by agents. MAEE is the meta-agent that sits above them and heals the agent network when one of them goes wrong. It matters most where agents act on systems that cannot afford a mistake, such as Weave AI™ on ai4cobol.ai, where agents bridge, translate and modernize COBOL on legacy mainframe estates. MAEE runs inside our own codebase and operations; it is not something a customer configures or sees.

Detect

MAEE observes the production agents that operate our lines of business and the bridges Weave AI runs, and flags one that has begun to misbehave: drifting output, lost fidelity, a failure pattern that a single agent cannot see in itself.
Contain, then replace

A misbehaving agent is contained before it can affect a system of record, a replacement is spawned, and the original's actions are forensically retracted. Containment is injected per deployment; where no containment fabric is wired in, execute-mode healing fails closed and MAEE stays in observe mode.
Observe by default, three-tier authorization

MAEE watches by default and acts only under a three-tier authorization model. Every action is written to the same tamper-evident, two-signature audit substrate the lines of business use, and the witness to an action is never MAEE itself.
Packaged, pinned, tested

MAEE ships as its own private, versioned package, pinned by each repository that uses it, with its own regression suite. Inside Weave AI it is the self-healing supervisor over live COBOL-to-modern bridges: when a bridge loses fidelity as the legacy core changes, MAEE contains it before it can corrupt a system of record, rebuilds it, and cuts over, each step authorized and audited.

Lines of business

One vertical, one platform, one domain.

Each line of business is its own product, its own codebase and its own site, because a plant manager, a public-company general counsel and a DoD subcontractor do not have the same problem and should not be sold the same thing. Every card states plainly what is available today, what is provisioned per engagement, and what is still being built.

Enclave AI™

Available now · flagship

CMMC & Defense Industrial Base · ai4cmmc.ai

CMMC Level 1 and Level 2 readiness for Defense Industrial Base contractors, performed continuously by gated agents inside your own environment. Enclave measures your systems against the NIST SP 800-171 baseline, drafts the System Security Plan and the POA&M for executive review, tracks your SPRS posture every cycle, and maintains the evidence index an assessor actually opens. Your executive approves each artifact before it represents your company. Assessment stays where the rule places it, with an independent Cyber AB authorized C3PAO.

Built for OSAs preparing for assessment, the C3PAOs and primes who rely on them, and the program offices that oversee them.

Visit ai4cmmc.ai

vCISO

Available now

Security leadership for regulated industries · ai4ciso.ai

A virtual CISO for regulated organizations outside the Defense Industrial Base. Continuous posture against SOC 2, ISO 27001, HIPAA and PCI DSS, with alerting that names the specific control a single event touches rather than leaving your team to translate it four times. Board reporting is generated from the decision ledger itself: approval rates, override reasons and integrity verification. Includes the HIPAA Security Risk Assessment and PCI readiness surfaces.

Built for healthcare, financial services and enterprises answering to more than one framework.

Visit ai4ciso.ai

SCADA AI™

Available now

OT and industrial control security · ai4scada.ai

A fixed-price OT security readiness and gap analysis for organizations that run industrial control systems: SCADA, DCS, PLCs, RTUs, HMIs, historians and building automation. Nothing connects to, scans or installs on your systems; the analysis is produced from a short intake. Every control in a 56-control catalog, informed by NIST SP 800-82 Rev. 3, IEC 62443 concepts and the CISA Cross-Sector Performance Goals, is accounted for as either an identified gap or not asserted, with a 30/60/90-day roadmap that respects maintenance windows and management of change. Start with the free OT Exposure Check.

Built for water and wastewater, electric power, oil and gas, manufacturing and building automation.

Visit ai4scada.ai

PCI DSS Readiness

Available now

PCI DSS v4.0 readiness and gap analysis, by Aegis AI™ · ai4pci.ai

A fixed-price PCI DSS v4.0 Readiness and Gap Analysis for merchants. It determines the Self-Assessment Questionnaire that fits how you accept cards, marks every control as covered, partial or a gap, and delivers a prioritized 30/60/90-day roadmap with the evidence an assessor will request. PCI DSS is pass or fail per requirement, so no compliance percentage is ever emitted and no un-evidenced control is assumed. It is not a QSA assessment, a completed SAQ or an attestation of compliance. Start with the free SAQ and readiness check.

Built for merchants and the MSPs, agencies and bookkeepers who support them.

Visit ai4pci.ai

AutoGRC

Free check live · plans by email

Cross-framework compliance coverage · ai4grc.ai

Comply once, prove many. Submit one set of security findings and see your control coverage across CMMC Level 2, NIST CSF 2.0, SOC 2, HIPAA, PCI DSS 4.0, ISO 27001, FTC Safeguards and NYDFS 500 at the same time, with a fix-first remediation list ranked by how many frameworks each fix satisfies and a risk delta against your prior snapshot. The mapping is deterministic arithmetic with no generative step, so the same findings always produce the same matrix. The Coverage Check is free and stateless; reports and team plans are arranged by email today.

Built for organizations answering to several frameworks and the vCISOs, MSPs and consultancies who serve them.

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AI AutoGRC

Available now

Governance of AI systems as regulated assets · ai4aigrc.ai

Governs the AI systems your organization runs as regulated assets in their own right. A registry with EU AI Act and NIST AI RMF classification, an eight-dimension AI risk assessment, gap analysis across the EU AI Act, NIST AI RMF, ISO/IEC 42001 and US federal and state rules, lifecycle gates before and after deployment, and incident command with a SHA-256-verifiable response chain, all recorded in a tamper-evident decision ledger. It scores the evidence you submit; it does not remotely scan your models. Every consequential governance action waits for a named person.

Built for enterprises and agencies deploying AI that must show how it is governed.

Visit ai4aigrc.ai

RiskD3M™

Available now · continuous tier in pilot

Cyber financial materiality · ai4risk.ai

Decision support for the hardest call in cyber disclosure: the SEC Item 1.05 materiality determination. Transparent quantitative screens, every SEC qualitative factor shown in full, the four-business-day disclosure window computed to the day over federal holidays, a drafted Item 106 board governance narrative, and an auditable determination record. RiskD3M never determines materiality and makes no filing; your officers and board do. The continuous readiness tier measures from your own environment through a read-only local plane, with each measurement signed on your premises and chained to the last.

Built for public-company boards, general counsel and CISOs, and the advisors and insurers who need a defensible basis for the call.

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REL AI™

Provisioned per engagement

Automated Remediation Execution Layer · ai4rel.ai

REL is the only layer that holds credentials, and it holds the rollback with them. Before it touches anything it verifies that the authorization covers this action, against this target, right now. It executes, confirms the change held, and reverses it if it did not. REL reports what its own action achieved and nothing more; whether a control is satisfied remains a judgment for the assessment record.

A supplemental layer. Never a prerequisite, and fully functional on its own.

Visit ai4rel.ai

Weave AI™

Provisioned per engagement

COBOL and mainframe modernization, built on ElasticFlow · ai4cobol.ai

The alternative to rip-and-replace for COBOL and mainframe estates. Weave places a supervised AI layer over the legacy core and bridges it to modern interfaces: REST, gRPC and Kafka consumers over CICS, IMS and IBM MQ. Specialist agents are spawned per gap, an adversarial validation agent blocks any bridge that loses precision or swallows a failure, and a supervising agent watches live bridges in observe-only mode. Every write to a legacy system requires your authorization and is recorded in an append-only audit log before it runs. Live z/OS connectivity is configured per engagement, beginning with a free legacy bridge assessment.

Built for banks, government, airlines and other mission-critical COBOL operators.

Visit ai4cobol.ai

AIR AI™

In development · per engagement

Automated Cyber Incident Response · ai4air.ai

AIR correlates separate signals into a single incident and proposes containment inside a scope a commander signed in advance. It holds no credential on any of your systems, so it cannot act on its own conclusion. Each recommendation, each override and its reasoning, and each outcome is recorded as it happens, so the timeline the review board needs is already written and verifiable.

A supplemental layer, in development and provisioned per engagement.

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vCIO

In development

Technology leadership · ai4cio.ai

Technology and architecture decisions with AI analysis behind them and a governance trail your board and your auditors can walk end to end. In active development and not yet open for purchase. If this is the seat you need filled, tell us and it informs what ships first.