Microsoft Defender for Business vs Relyance AI
Microsoft Defender for Business
microsoft.com
Relyance AI
relyance.aiSide by side
| Figure | Microsoft Defender for Business | Relyance AI |
|---|---|---|
| Price from | $0.25/mo | — |
| Free plan | — | — |
| Free trial | Yes | Yes |
| Open source | — | — |
| Web | — | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 4 | 0 |
| Spec score · AI Security Posture Management (AI-SPM) Tools Software | 8.8 (#1) | 7.6 (#3) |
| Headquarters | Redmond, Washington, United States | San Mateo, California, United States |
| Integrations | The product integrates with Microsoft 365 Lighthouse and can work with remote monitoring and management tools and professional services automation software. | The maker lists agentless integrations and names GitHub, AWS, Snowflake, Okta, OpenAI, Salesforce, and Datadog among hundreds more. |
| Purpose | Microsoft Defender for Business is an endpoint security solution for small and medium-sized businesses with up to 300 users that helps protect devices from ransomware, malware, phishing, and other threats. | Relyance AI says its Lyo platform secures and governs AI features by tracing data journeys from code to cloud to AI models. |
| Support | Microsoft's Defender for Business documentation provides a guide for getting help or contacting support. | The demo page says a security architect will contact demo requesters within one business day to schedule a session. |
Plans
Microsoft Defender for Business
- Microsoft Defender for Business$3 a month
- Microsoft Entra Internet Access$5 a month
- Microsoft Entra Suite$12 a month
- Microsoft Defender for Business$3 a year
In their own words
Microsoft Defender for Business
Microsoft Defender for Business has no write-up on Specifiction yet; its figures are above.
Relyance AI
Relyance AI’s Lyo platform traces data journeys from code through cloud environments to AI models, with tools for data security, privacy operations, and AI governance. It inventories AI agents, models, RAG, and MCP, shows their permission reach, and can block over-scoped agents in CI/CD. The data security layer classifies sensitive information, monitors it in motion, and describes adaptive DLP enforcement at gateways. Privacy workflows use live data flows to automate data maps, records of processing activities, consent, assessments, and data subject requests. Its Data Exposure Graph connects data sensitivity, identity permissions, and agent behavior to surface connected threats. The company describes agentless coverage across code, cloud, data warehouses, identity providers, AI platforms, SaaS, and observability, naming integrations including GitHub, AWS, Snowflake, Okta, OpenAI, Salesforce, and Datadog. Deployment options are full SaaS, InHost within a customer’s VPC, and DirectConnect private link. Runtime actions such as masking or blocking requests are marked private beta. Pricing is on request; a trial is offered subject to eligibility criteria.