AI Strategy & Operating Model
A board-ready operating model that names the decisions, the owners, the controls, and the funding required to run AI as institutional capability.
An operating system for AI inside the institutions that cannot afford to get it wrong.
Maverc helps a focused set of defense, government, healthcare, and critical-infrastructure operators put AI to work on the decisions that actually matter, with the governance, security, and accountability the mission demands.
Generative and agentic AI have moved faster than the controls around them. Sensitive data is leaking into public models, shadow AI is making decisions no one can explain, vendors are shipping black-box agents into regulated workflows, and adversaries are already using AI to accelerate intrusions. For organizations where a wrong answer has consequences for a patient, a warfighter, or a national mission, deploying AI without an institutional operating model is not an experiment. It is a liability.
Eliminate blind spots and reduce noise through a unique combination of timely, curated intelligence, operationalized by AI, and put to work by expert human partnership.
We start with the decisions that move the mission, not the technology. Maverc operators map where AI changes the outcome, what data it needs, who is accountable, and what failure looks like, before a single model is deployed.
Every AI system we build ships with policy, provenance, and audit baked in. Model registries, data lineage, evaluation harnesses, and human-in-the-loop controls are the foundation, not the afterthought.
Prompt injection, model exfiltration, training-data poisoning, and agent abuse are now part of the threat model. We harden the pipeline, the runtime, and the identities behind every agent, with the same rigor we bring to OT and identity.
We build inside your environment, on your data, against your policies. When we leave, the capability stays with your people, not locked behind a third-party API your auditors cannot inspect.
Most enterprise AI programs stall in pilots, or worse, ship models into production with no ownership, no provenance, and no way to defend the output to a regulator, an auditor, or a board. Maverc treats AI as critical infrastructure. We sit alongside your operators to identify the consequential decisions where AI changes the outcome, then build the data foundations, model pipelines, human-in-the-loop controls, and security architecture required to run it safely. The result is not a demo. It is an institutional capability, owned by your people, governed by your policies, and accountable to the regulators and customers who will read the audit trail later.
Engineered components delivered as a unified, outcome-driven platform.
A board-ready operating model that names the decisions, the owners, the controls, and the funding required to run AI as institutional capability.
Model registry, data lineage, evaluation harnesses, and policy enforcement aligned to NIST AI RMF, ISO 42001, and sector regulators.
Hardened reference architectures for RAG, fine-tuning, and agentic systems, with identity, secrets, and tool-use controls engineered in from day one.
Red teaming, adversarial evaluation, and continuous monitoring of AI workloads inside Maverc Agentic XDR. Prompt injection, model exfiltration, and agent abuse treated as first-class threats.
Full-scale, AI-powered protection delivered by one trusted partner — combining expert analysts, deep threat intelligence, and continuous coverage across your entire environment.
Identify the consequential decisions, the data behind them, and the regulatory exposure that determines what good looks like.
Stand up the policy, model registry, and evaluation harnesses that make every AI system inspectable and accountable.
Engineer secure RAG, fine-tuning, and agentic systems on your data, in your environment, against your controls.
Monitor, red team, and recertify AI workloads continuously inside Maverc Agentic XDR with human-in-the-loop accountability.
Both. Strategy and governance are where most engagements start, but Maverc engineers build, harden, and operate the production systems. We do not hand you a slide deck and leave.
Yes. We deploy inside your tenant, your VPC, or your on-prem environment, including Azure Government, AWS GovCloud, and air-gapped networks. Models, data, and prompts never leave your boundary unless you decide they should.
We map every system to the applicable framework at design time, document risk classification and controls, and stand up the governance board that keeps you defensible as the rules evolve.
Maverc operators embed alongside your people, ship the first hardened use case, then transfer the platform with documentation, runbooks, and enablement so your team owns it after we leave.
Send us a few details and a Maverc advisor will follow up within one business day with a tailored conversation.
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