Microsoft Security Copilot
An AI helper for security teams built into Microsoft Defender and Sentinel that explains threats in plain English and bills by the hour.
Fortinet's set of AI security tools that protect a company's AI models, chatbots, and AI workloads from attacks and data leaks.
FortiAI is a set of security tools from Fortinet built to protect a company's own AI systems, including AI models, large language models, and AI workloads running in the cloud or on-site. It watches for prompt injection attacks, blocks unsafe outputs from company AI tools, and can stop sensitive data from leaking out through an AI chat tool. It works alongside other Fortinet products, including FortiWeb for web traffic and FortiCNAPP for cloud workloads, in what Fortinet calls its Security Fabric. Threat data comes from FortiGuard Labs, Fortinet's threat research team, and updates flow to FortiAI automatically. Fortinet says it can detect and block an AI-related threat in under one second.
This fits a company already using Fortinet firewalls or cloud security tools that is now rolling out AI tools like chatbots or internal copilots and wants AI governance without buying a whole new vendor stack. A good starting point is scoping which AI services staff already use, then turning on FortiAI's discovery and policy features for those first. Fortinet does not publish a set price for FortiAI; it is sold through the same quote-based licensing as the rest of the Security Fabric, tied to your deployment size, so treat any online pricing as a rough guess and ask your Fortinet reseller for a real number. One risk: getting full value means running other Fortinet products too, so a mixed-vendor shop may see a smaller benefit.
How one company factor at a time moves the modeled score. The published score is unchanged.
These estimates cover licensing, setup, integrations, staff time, security, administration, and support.
| Cost measure | Low | Base | High |
|---|---|---|---|
| First-year total | $96.1K | $149.6K | $238K |
| Three-year total | $214.6K | $320.8K | $490.6K |
| First-year cost per unit | $96.1K | $149.6K | $238K |
| Average annual cost per unit (over three years) | $71.5K | $106.9K | $163.5K |
| Component | Low | Base | High |
|---|---|---|---|
| Licensing and usage | $36K | $48K | $64.8K |
| Implementation | $14.4K | $24K | $40.8K |
| Integration | $15.4K | $28K | $50.4K |
| Staff time and change management | $9.8K | $14K | $19.6K |
| Security | $7.7K | $11K | $16.5K |
| Administration | $5.6K | $7.5K | $10.1K |
| Support | $2.6K | $3.5K | $4.7K |
Estimate assumptions: This scenario uses a category-based allowance, not a verified price for this product. Based on 1 production deployment. Confirm the vendor’s billing unit and current price or quote before budgeting.
Benefits have not been estimated: The current research does not estimate potential savings, return on investment, or how long it would take to recover the cost. Earlier benefit estimates are excluded.
Confirm current product identity, commercial packaging, data processing terms, sign-in and access rules, retention, integrations, support model, implementation effort, and rollback conditions.
Verify identity, package, availability, ownership, pricing, and security evidence before approving a pilot
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
Define what success looks like for a test of Fortinet FortiAI and assign someone to lead it.
Once the requirements above are met, compare a small trial with how your team works today.
Track adoption, output quality, business results, and actual costs against the estimate.
Use the results to decide whether to stop, adjust, or expand the pilot.
Confirm encryption, how the vendor uses your data, customer data separation, how long data stays and how to delete it, activity records, sign-in and user setup, where data is handled, other companies that process data, past incidents, and what your team must manage.
Review before rollout: confirm how to export your data, revoke access, and return to your existing workflow. Assign an owner and test the rollback plan before expanding use.
Do not approve a pilot yet. Verify the current product identity, package, availability, owner, pricing, and security evidence; then define one workflow, a baseline, and rollback criteria.
An AI helper for security teams built into Microsoft Defender and Sentinel that explains threats in plain English and bills by the hour.
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Research observations recorded: 1. Evidence quality: Some support.
Recorded score and category rank across research updates.
Answer a few questions about your company and compare this tool with others. The research score above stays the same.
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