The Relational Entity Intelligence Platform

AI-native intelligence for every entity, every relationship, every agent.

Vektor turns entity-permission-resource relationships into feature vectors, detects risk with AI models, and writes the policies to fix it — across ERP, financial services, healthcare, and cloud infrastructure.

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ERP / FinanceFinancial ServicesHealthcareCloud IAM

SOX / SEC / HIPAA Read-Only Access Agent-as-Subject

The Problem

Every system has entities with relationships to resources.
Nobody governs them with intelligence.

entity systems per company

IAM, ERP, EHR, trading platforms — each with its own roles, permissions, and blind spots. No cross-system intelligence.

100s

of hand-written rules

Static rules that break when roles change. Maintained by humans who can't keep up with entity sprawl across sectors.

45:1

NHIs outnumber humans

AI agents in trading, clinical workflows, financial automation — accumulating permissions faster than any human can monitor.

How Vektor Works

Connect → Vectorize → Govern → Execute

One adapter per new system. Zero model changes. Domain-agnostic architecture.

Connect

Unified entity graph

Read-only adapters plug into any entity-permission-resource system — ERP, trading platforms, EHR, cloud IAM. Unified relational graph across all systems. Every human, service account, and AI agent.

Vectorize

Feature vectors, not rules

Every entity becomes a multi-dimensional feature vector — capturing permissions, centrality, drift, peer deviation, and cross-system relationships. Our AI models detect anomalous patterns in that vector space.

Govern

Policies write themselves

AI insights auto-generate policy recommendations. You approve with one click. A scoped model trains and starts detecting immediately. No YAML, no rule files, no maintenance — ever.

Execute

Agentic remediation with rollback

When a signal fires, AI agents execute remediation programmatically. Human approval gates for destructive actions. Full audit trail. Instant rollback if anything goes wrong.

Platform Reach

One platform. Four sectors. Every agent governed.

Same feature vectors, same AI models, same architecture — different adapters and compliance labels. That's why it's a platform, not a product.

ERP / Finance

SOX, ITGC

EntitiesUsers, RPA bots, approval agents

Key violationsSoD violations, unauthorized config, toxic role combos

Agent riskAI invoice processor with AP + GL + Procurement = fraud at machine speed

Financial Services

SEC, FINRA, MiFID

EntitiesTraders, analysts, algo systems, AI research agents

Key violationsChinese wall breaches, MNPI access, front-running

Agent riskAlgo with pre-trade analytics + order execution + client data = insider trading surface

Healthcare

HIPAA, HITECH

EntitiesClinicians, staff, AI scribes, triage agents

Key violationsUnauthorized record access, peer deviation, break-glass abuse

Agent riskAI scribe accessing patient records across departments it shouldn't see

Cloud IAM / IdP

NIST, CIS, Zero Trust

EntitiesUsers, service accounts, CI/CD pipelines, AI coding agents

Key violationsPrivilege escalation, dormant access, permission creep

Agent riskService account with admin across AWS + production DB = full blast radius

Core IP

The name is the product

Every entity in every connected system gets represented as a multi-dimensional feature vector. These vectors capture the shape of an entity's relationship to its environment. Our AI models detect anomalous patterns in this vector space — making detection domain-agnostic across all four sectors.

Subject Features

Permissions, centrality, drift, usage patterns

Permission Features

Risk score, scope breadth, holder count

Assignment Features

Age, staleness, justification, SoD membership

Relationship Features

Cross-system consistency, peer deviation

Why this matters

Same vector space works across ERP, trading, healthcare, and IAM.

Models trained in one domain transfer signal to all domains — because the feature representation is universal.

New sector = new adapter + domain labels. Core AI architecture unchanged.

Competitors build per-sector. We build once, deploy everywhere.

Two-Tier Intelligence

AI-powered models. Zero rule files.

Tier 1 models detect risk with confidence-scored signals across all sectors. Tier 2 uses those signals to generate new policies automatically — no human writes a single rule.

Tier 2: Self-Writing Policies

Fully autonomous after approval

Tier 1 signals feed an AI agent that generates policy recommendations. You approve or reject — that's your only input. The platform creates a scoped model, starts detecting, and improves with every decision.

Structured Signal Output

Intelligence your agents can consume

Every signal is a structured object — confidence-scored, with blast radius, evidence chain, remediation steps, and compliance mapping (SOX, SEC, HIPAA, NIST). Your SIEM, your SOAR, your AI agents — they all consume the same output.

Confidence score + violation class per entity

Blast radius — systems, permissions, downstream impact

Pre-computed remediation with rollback plan

SOX / SEC / HIPAA / NIST control mapping

Feature snapshot for audit trail

// Tier 1 signal output — any sector

{

"signal_id": "SIG-2026-00847",

"subject": "maria.gonzalez",

"sector": "erp_finance",

"violation": "sod_violation",

"confidence": 0.98,

"blast_radius": { ... },

"remediation": { ... },

"compliance": "ITGC-AP-03"

}

Connectors

Read-only. Never see your business data.

We see who accessed it, when, and whether they should have. That's it.

AWS IAM

Cloud IAM

Microsoft Entra ID

Cloud IAM

Okta

Identity

NetSuite

ERP

Epic / Cerner

Healthcare

Beta

Bloomberg / FIX

FinServ

Beta

SAP

ERP

Coming

Snowflake

Data

Coming

No one provides AI entity intelligence across sectors

Others govern access in one sector. Vektor finds risk, writes the policy, and fixes it — across all four.

Veza / Saviynt

Pathlock

Oasis / Astrix

Vektor

Detection

Heuristics + AI

Hand-written rules

Rules only

AI — feature vectors

Sectors

IAM only

ERP (SAP)

NHI only

4 sectors, 1 architecture

FinServ / Trading

—

SEC / FINRA models

Healthcare

—

Partial

—

HIPAA models

Agent Governance

New (Dec '25)

—

Partial (NHI)

First-class, day one

Self-Writing Policies

—

Tier 2 lifecycle

Rule Maintenance

Ongoing

None — self-improving