Living Security | AI Transformation Index
Living Security is a small AI-native security awareness and human risk management SaaS company operating in a category under structural consolidation press...

Overview
Living Security sells a SaaS-based human risk management platform to enterprises, generating subscription revenue by helping security teams identify, measure, and mitigate cybersecurity risks driven by employee behavior through training content, behavioral analytics, and AI-driven risk prediction.
Executive Summary
Living Security is a small AI-native security awareness and human risk management SaaS company operating in a category under structural consolidation pressure from Proofpoint, KnowBe4, and Microsoft — all of whom have the distribution, data, and resources to absorb the HRM function into broader security platforms. The company's AI-forward positioning is directionally correct and the market need (human-driven breach prevention) intensifies in an agentic AI world, but its durability challenge is more about competitive displacement than AI substitution per se: it risks becoming a feature in a larger platform rather than a standalone business. For a PE sponsor, the strategic question is whether Living Security's domain intelligence and behavioral data assets can be scaled fast enough to establish a defensible position before the category consolidates around larger incumbents.
Durability
How resilient is this business against AI disruption?
Market Substitutability
Profit Pool Migration
Barrier to Entry
Disintermediation Exposure
Switching Costs
Opportunity
How big a deal is AI for this business?
AI Applicability
Improvement Magnitude
Transformation Upside
Domain Intelligence Amplification
46.1
Ciridae AI Score
Durability Rationale
Living Security operates in a structurally vulnerable market position: the human risk management category is being absorbed by larger security platform incumbents with superior distribution, data estates, and resources, creating meaningful profit pool migration risk. The company's core output — training content and behavioral risk scores — is a digital information product with limited structural protection, and the coordination layer it occupies between enterprise buyers and employees is precisely the kind of middle-layer that AI-enabled platform consolidation displaces. Moderate switching costs and a nascent proprietary signal dataset provide some defense, but are insufficient against the gravitational pull of KnowBe4, Proofpoint, and Microsoft bundling equivalent functionality into existing enterprise security stacks.
Opportunity Rationale
AI is genuinely relevant to Living Security's product roadmap — the core workflows of content generation, behavioral analytics, risk scoring, and remediation guidance are broadly AI-applicable, and AI enables new capabilities like autonomous risk prediction and real-time adaptive training that represent a meaningful expansion of the value proposition. However, the unrealized step-change is moderated by two factors: the company is already AI-native in its positioning (Livvy, the AI risk visibility solution), meaning much of the first-order opportunity is being captured internally; and at 29 employees with a moderate engineering team, the cognitive labor pool available to compress is limited compared to large-workforce services businesses where AI's impact would be transformative at scale.
Key Risks
The durability assessment could be wrong if Living Security's behavioral signal dataset and AI-native architecture prove genuinely proprietary and difficult to replicate — if 200+ integrated signals and longitudinal behavioral data create a defensible intelligence moat that larger platforms cannot quickly match, the platform-consolidation thesis weakens.
The opportunity assessment could be wrong in the upward direction if the company's current AI-native positioning is more marketing than substance — if Livvy and the AI risk visibility solution are early-stage features rather than mature capabilities, the unrealized opportunity is larger than it appears, but capturing it requires significant engineering investment that a 29-person company may struggle to fund.
Company Overview
| Headquarters | Austin, Texas, United States |
| Products / Services | AI-Native Human Risk Management Platform, Security Awareness Training, Workforce Risk Management, Data-Driven Insights for Cybersecurity, Automated Risk Prediction, Guidance, and Remediation, CyberEscape Online (team-based cybersecurity training platform) |
| Deal Partners |
AI & Tech Initiatives
| Name | Description |
|---|---|
| Livvy | AI-native intelligence engine leveraging advanced AI techniques including predictive analytics and autonomous execution. |
| AI Risk Visibility Solution | Empowering secure workforce innovation. |
PE / Ownership History
| Event | Details |
|---|---|
Series B Funding Round March 30, 2021 | Living Security closed a $14 million Series B funding round led by Updata Partners. The investment included previous investors such as Silverton Partners, Active Capital, Rain Capital, and SaaS Venture Partners. The funding was aimed at expanding Living Security's human risk management platform and scaling market reach. |
Executives
| Name | Background |
|---|---|
Ashley M. Rose CEO | Founder and CEO at Women In CyberSecurity (WiCyS) Austin, Startup Mentor at MassChallenge, Contributor at Forbes Technology Council, EO Member. |
Timothy King Interim CFO | CFOO at Community.com, Interim CFO at Uberflip, Independent Consulting and Advisory at TEK Advisory |
Mark Collura Vice President, Sales | VP Sales at SnapApp, PointClear, Aberdeen |
Michelle L. Senior Customer Success Manager | Enterprise Security Manager at Arm, Founder at Storks and More of Austin, Senior Security Manager at CLEAResult |
Amber Quinn Senior Client Success Manager | Sales Development Coordinator at Trueline, Executive Account Manager at Joseph Ribkoff Inc. |
Steven T. Senior Sales Engineer | Solutions Engineer and Partner Relations at Evoko, Customer Support Representative at Whitlock |
Updata Partners