Identity Reinvented
The self-adapting AI identity security platform that slashes risk, cost, complexity and accelerates compliance.
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The Problem:
Current IAM Systems
Rigid and Manual
Identity management tools today are rigid, rule-based, and reactive.
Missing Context
They manage policies, but fail to understand identities.
Fragmented Data
Disparate and missing data leads to fragmented identity, compliance risk, and slow operations.
Lack Intelligence & Autonomy
Lack of foundational structures to enable AI capabilities
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The Shift:
Treat Identity as an Autonomous AI Data Platform
New Paradigm
Instead of building a superset of current tools, we're building a new paradigm.
Data-Centric
Everything we touch is data.
Semantic Graph
Identity data, app metadata, access logs, user events — all of it forms a semantic graph - AI agent ready, LLM ready.
Intelligent Systems
IAM systems should learn, adapt, guide decisions & autonomously act, not just enforce static policy.
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Our Solution:
With agentic AI and semantic graph reasoning, IDCore can adapt, learn, and act — allowing enterprises to automate 70% of governance tasks, reduce audit overhead by 50%, and deliver a zero-trust foundation that scales with AI agents — not headcount.
How it works?
Link fragmented identity data
Create a single canonical source of identity truth
Build a relationship graph
Connect people, apps, access, and events
Vectorize everything
Turn similarity and context into machine-learned models
Continuously learn
Adapt from new inputs, admin decisions, and system behavior
Autonomously act
Intelligent AI Agents that drive core IAM capabilities
6
Analyze with risk intelligence
LLM powered access insights and customizable reports
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Core Capabilities
IDM - Identity Data Mastering
Merge people data from HR/CRM/IT to create unified identity profiles.
ADM - Application Data Mastering
Build app records, infer access relationships to get clarity into app access objects and entitlement sprawl.
ELM - Entitlement Lifecycle Mgmt
Manage groups/roles holistically & stay on top of ever changing app entitlements.
IAM - Identity & Access Management
Auto-grant access for joiners/movers/leavers & reduce manual effort.
AGR - Access Governance Reviews
Review only risky outliers to cut cost of manual reviews & slash access-related audit findings.
LLM/Insights
Natural language IAM queries to build compliance and audit ready reports.
AI Agents
Automate IAM tasks to reduce human effort and ensure timely compliance.
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Key Differentiators
Comprehensive Mastering
By mastering both identities and entitlements, IDCore ensures a unified and consistent approach to access management across the organization.
Semantic Understanding
The semantic access graph enables IDCore to interpret and link access metadata using natural language and embeddings, facilitating more accurate and context-aware decisions.
Agentic AI Approach
IDCore's use of autonomous agents allows for proactive management of IAM tasks, reducing manual interventions and enhancing efficiency.
Rapid Deployment
IDCore's modular architecture allows for faster implementation and integration, providing quicker time-to-value compared to traditional IAM solutions.
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Architecture: A Living Identity Control Center
Step 1: Ingest & link
Gather and connect identity, directory, and application data from disparate sources
Step 2: Normalize & structure
Build the semantic identity graph with weighted edges between entities
Step 3: Vectorize entities
Apply autoencoders/transformers to create meaningful representations
Step 4: Learn & adapt
Implement feedback loops and retraining mechanisms
Step 5: Generate actionable IAM signals
Produce insights that drive better, and more automated access decisions
Step 6: Intelligent IAM Features
Interact with Identity through LLM prompts and AI Agents
🧠 Think: A self-governing, living brain for IAM.
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Core Use Cases
From raw data to intelligent outcomes
Joiner-Mover-Leaver Automation
Context-aware access decisions and automations
Access Reviews
Peer group insights, anomaly detection & risk based review
SoD Enforcement
Path-based graph logic
Role Mining & Modeling
Semantic grouping & vector similarity
Risk-Based Approval
Fraud scoring, anomaly surfacing
Natural Language LLM Interface
Query for data and changes, or initiate processes through natural language prompts
Self Governing AI Agents
Teams can focus on strategy and outliers while AI Agents take care of task execution
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Why We're Different
Graph-native, vector-first
Not a rules engine, but a learning system
Designed for adaptability
New signals, new sources, and human feedback
LLM and Agent Ready
Core architecture built from the ground up with AI as the focus
Frictionless experience
Admin and user experience designed to be simple, not complex
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Why Now?
AI Advancements
Embeddings and graph data technologies have matured, enabling more sophisticated identity solutions.
Increasing Pressure
Organizations face mounting compliance requirements in an increasingly regulated landscape.
Increasing Complexity
The rapid expansion of cloud services and distributed workforce environments demands smarter identity solutions.
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Market Opportunity
$20B+
IAM Market Size
Growing industry with aging platforms
Trending
Increasing Demand
For intelligence and automation in access governance
3X
Complexity Growth
Rapid cloud and business application adoption exponentially increasing volume and complexity
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Evolution from Policy to Intelligence
Legacy IAM
Static policies, manual reviews
Smart IAM
Data-driven insights, automation
Intelligent IAM
Learns, adapts, governs in real-time
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The Next Generation of Identity
Today
Static roles, manual reviews
12 Months
Identity intelligence integration
24 Months
Autonomous access governance
Future
Neural self-adopting identity ecosystem
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Team - 50 Years of Industry Experience
Ryan Heckman
Founder
20+ years of hands-on leadership scaling identity and cybersecurity functions across diverse, high-stakes industries like telecom, finance, and retail.
20+ years of hands-on leadership scaling identity and cybersecurity functions across diverse, high-stakes industries like telecom, finance, and retail.
Gary Hagler
Co-Founder
A decade of IAM architecture leadership for Fortune 500 companies, with deep expertise in top IGA and IAM platforms, user lifecycle management, privileged access, and compliance.
A decade of IAM architecture leadership for Fortune 500 companies, with deep expertise in top IGA and IAM platforms, user lifecycle management, privileged access, and compliance.
Greeshma Neglur
Co-Founder
Proven IAM and AI governance leader with over two decades securing and delivering $25M+ fintech platforms. CISM-certified, AI2030 Global Fellow, and University of Illinois Computer Science alum.
Proven IAM and AI governance leader with over two decades securing and delivering $25M+ fintech platforms. CISM-certified, AI2030 Global Fellow, and University of Illinois Computer Science alum.
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Business Model
Feature Add-ons
Advanced graph analytics, custom enterprise integrations
SaaS Subscription
Useage Based on # of identities, objects -and- Feature Licenses
Target Market
Enterprise IAM, MSPs, and Compliance teams
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Traction
MVP underway
IDM module coded and tested for viability, Graph network architected, development underway
Early design partners identified
Building collaborative relationships
Letters of interest in progress
Demonstrating market validation
Strong alignment
With IAM modernization efforts in mid-size to large enterprises
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$750K Pre-Seed Round
Raising $750,000 on a SAFE to build next-gen IAM intelligence with 18-month runway to validate product-market fit and position for Seed round.
Use of Funds
Key Milestones:
Next 6–9 Months:
- Finalize IDM + graph foundation with customer data
- Build vector embeddings across identity, apps, and roles
- Deploy IDM and ADM to 2–3 pilot customers
- Produce dashboard MVP
Beyond Month 18:
- Secure paid pilot conversions
- Validate use cases: ELM, IAM, AGR, AI Agents, LLM prompts
- Demonstrate "learning loop" improvements
- Prepare GTM pipeline
Capital Strategy
- $750K SAFE (Y Combinator post-money template or convertible note)
- 18-month runway
- Target Seed: ~$2.5M (late 2026) based on traction
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Vision
IAM isn't just access. It's understanding & automation.
- IDCore becomes the semantic foundation for all access decisions
- Our vectorized identity layer integrates into IGA, PAM, ITSM, and beyond
- The more signals we touch, the smarter the system gets
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