From discovery to governance in under two minutes.
Gartner projects 33% of enterprise applications will include agentic features by 2028 — up from less than 1% in 2024. By the same window, autonomous agents are modeled to outnumber human users 50 to 80 to one. Each carries valid credentials, scoped access, and a path into your databases, APIs, and proprietary services. Most security teams cannot count them yet.
The industry has a name for it: agentic sprawl. Service accounts spun up to bypass identity setup. OAuth scopes over-provisioned to ship sprints. Low-code platforms wiring agents nobody approved. Tokens leaking through Jira tickets, Teams messages, Confluence pages, GitHub commits. Every shadow agent is a compliance hazard with valid credentials.
Containment without runtime enforcement is structurally impossible. Standing privileges in agentic systems do not drift gradually — they accelerate instantly. The defining question is not whether you adopt autonomous agents. It is whether you can register, govern, and audit them before they outrun you.
Three structural shifts have crossed the same enterprise at the same moment. Six platforms, autonomous stablecoin payments, and regulators publishing framework-by-framework deadlines. There is no second platform that lives at the intersection.
From invisible agents to full command. Six steps. No code.
We scan 9 infrastructure sources—cloud platforms, Kubernetes, identity systems, git repos, observability tools—and find every AI agent. Including the ones you forgot about. Shadow AI detection catches the ones nobody provisioned.
For every agent we find, we show you: what systems it touches, what operations it performs, and what it has access to but has never used. Plain English. No technical jargon. First time most operators have ever seen a unified view.
Point us at your existing agent infrastructure—one config line, two minutes. Or auto-generate new connectors for your TMS, EDI, or accounting system. Zero code. Under 5 minutes to first working connection.
Tell Centurian: “This agent can quote loads under $2,000 but needs my approval above that.” AI translates to policy. You see a simulation of what would have happened. You approve. Done.
Every agent action has a cost and a quality score. See which agents are earning their keep and which are burning money. Budget hard-stops prevent surprise bills. Trajectory evaluation catches agents that get the right answer via the wrong process.
Generate a 50-page EU AI Act compliance report in under 60 seconds. Every agent action, every permission decision, every cost line—auditor-ready. Bitemporal logging means you can answer “what did the system know on March 15?”—not just “what's true today.”
You need to know what your agents are doing, what they're costing you, and whether they're creating more problems than they solve. Centurian gives you one dashboard for all of it—across every vendor, every system.
Your engineering team spends 60% of its time on per-customer infrastructure instead of product. Point your existing agents at Centurian—one config line. Your operators get governance, cost tracking, and compliance instantly.
You need a compliance report covering every AI agent—not just one vendor's. Centurian generates the 50-page artifact auditors need, covering every agent from every vendor on one platform. One click.
Same data spine. Same pillars. Permission-gated views for individuals, teams, and the org. Measure separates agents that work from agents that lie. Multi-rail Cost catches stablecoin spend nobody else attributes.
Know what your agents are doing — at every step, at every cost.
See every agent across every team, every platform, every vendor.
Set budgets and guardrails. Your agents stay in their lane.
Enforce org-wide policies across every platform. RBAC. SSO. SCIM.
See what every API call, every model token, every stablecoin micropayment costs you.
Reconcile model + MCP + platform + subscription + x402 spend per agent. Recover 2–4% of freight invoices silently overcharged.
See which agents work and which are lying. Trajectory eval catches drift before it costs you.
Doc-to-eval test generation. Continuous regression detection. Anomaly clustering by purpose, team, platform. Industry benchmarks across operators.
Run audits against any framework — EU AI Act, SOC 2, GDPR — for free.
Cross-vendor unified audit trail. Custom frameworks. Court-defensible.
Six categories of competitor. Each strong inside their wave. None at the intersection. The intersection is where your enterprise actually lives.
No x402 stablecoin attribution. No framework distribution marketplace. Salesforce-anchored sales motion can't credibly serve a Bedrock-primary or Foundry-primary buyer.
No cost rail. No payment-rail integration. Horizontal governance plays at <$50M ARR — next $50M comes from deepening governance, not broadening into FinOps or x402.
Lock-in by design. Customers want federation to escape cloud-native gravity. Cannot sell the federation pitch without contradicting the data-gravity strategy that drives most AI revenue.
A toolkit, not a control plane. Commercial value locked to Azure Foundry adoption. To enter, they'd need to convince customers to govern non-Azure agents through a Microsoft tool. Each step is Microsoft-against-itself.
Architecture built around the card swipe, not the agent. Per-agent x402 attribution requires rewriting the cost data plane — and they have no agent-fleet observability to attribute to in the first place.
Multi-vendor agent discovery (6+ platforms). Multi-rail cost attribution including x402 stablecoin per-agent. Two-sided framework distribution marketplace. Operator-mode flexibility (human, HITL chat, autonomous-narrow, or customer MCP). Bitemporal evidence chain joining all four streams. One product whether you're a solo dev or a 500-person ops team.
Each competitor would have to abandon their core commercial logic to enter. The moat isn't features — it's the structural bind every competitor walks into the moment they try.
Pure-LLM governance tools translate plain-English rules into model prompts. The model decides whether to obey. When it hallucinates, the rule silently fails. By the time you find out, the agent has wired the money or exported the PII.
Centurian fuses probabilistic reasoning with deterministic execution. The LLM compiles policy text into Rego — a declarative policy language that runs in a hardened sandbox. The compiler is signed, sandboxed, and gated by a deterministic test corpus before any rule reaches production. Once a Rego rule says "no x402 transfer over $1,000 USDC without synchronous human approval," the LLM cannot bypass it. The reasoning layer suggests; the symbolic layer enforces. That is the line between an audit trail and a liability.
package centurian.global
# Stablecoin transfer ceiling
deny["x402 transfer over $1,000 requires human approval"] {
input.action == "x402.transfer"
input.amount_usdc > 1000
not input.context.human_approved
}
High-risk AI systems must demonstrate automated record-keeping, risk assessment, and human oversight audit trails. Non-compliance penalties reach 7% of global revenue.
Frameworks are data, not code. Big-4 firms and AI law firms author and co-distribute proprietary frameworks alongside Centurian's living regulatory library. Default-OFF autonomous execution for HIPAA, PCI-DSS, and EU AI Act high-risk obligations — physical human opt-in required.
Agent sprawl is the defining governance challenge of 2026. Every enterprise deploying AI agents is exposed right now.
"My background is in operations and supply chain management. I know how these businesses run and where they break. When I started building with AI agents, I hit the same wall every time: too many agents, doing too many things, with no way to see what was actually working."
"I built the visibility layer myself just to stay sane. Then I realized every operations team deploying AI was about to face the exact same problem. Centurian is what I built for myself, productized for the people running the business."
Regulated operators — vertical SaaS platforms, neobanks, RIA platforms, and Compliance-Anchor customers — are already touching yield-bearing stablecoin exposure. The federal frame is unsettled, the EU frame restricts it, and existing FinOps tools track none of it. Centurian is becoming the audit-grade compliance layer underneath, so a regulated operator can distribute compliant exposure without becoming a securities firm.
Regulator-current disclosure templates for yield-bearing positions, scoped per jurisdiction. Counsel can customize. Operators can distribute. Compliance keeps the version history.
Every yield-bearing transaction triggers verifiable disclosure delivery. Customer acceptance, refusal, or non-response is logged on the same evidence chain that already underwrites EU AI Act, MiCA, and SOC 2 audits.
Yield earned per holder, per position, per period — classified for tax and regulatory reporting on the data spine. Hands clean records to your tax tool of record. Centurian provides the data; we are not your filing tool and not your legal advisor.
Same magic-link form. We tag your interest as intent=yield.
Centurian replaces them all. Your agents on Salesforce. Your agents on Bedrock. Your agents written in Python last Tuesday. Your stablecoin spend. Your compliance reports. One spine. Same product whether you're a solo dev or a 500-person ops team.
Early access · First agent free, forever · No credit card