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.
AWS's built-in threat detection service that watches your cloud accounts for signs of attack and bills only for the data it scans.
Amazon GuardDuty is a threat detection service built into AWS that any AWS customer can turn on. It watches account activity, network traffic, and storage logs for signs of trouble, reading CloudTrail logs, VPC flow logs, and DNS query logs by default. Optional add-ons cover S3 buckets, EKS clusters, Lambda functions, RDS databases, and malware scanning. A newer feature, Extended Threat Detection, links small warning signs together to catch multi-step attacks. GuardDuty also watches Amazon Bedrock and SageMaker for odd AI model use, including possible prompt injection attempts. You turn it on from the AWS console for one account or a whole group of linked accounts. It also supports PCI DSS compliance needs.
This fits any team running real workloads on AWS, even a lean cloud team, since AWS runs and updates it for you. Start by turning on the free 30-day trial for your main AWS account, then decide which optional protection plans you need, such as S3 or EKS coverage. Pricing is pay-as-you-go based on the volume of logs and events it scans: a small AWS footprint might cost under $100 a month, while a large, active setup can run into the thousands. Treat any number here as a planning estimate and check the AWS pricing page for your exact usage. One risk: GuardDuty only covers AWS, so you will still need separate tools for on-site systems or other clouds.
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 Amazon GuardDuty 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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Palo Alto Networks
Palo Alto's AI-driven security operations platform that replaces a traditional SIEM with automated detection and response.
Cloud security features that find and secure the AI models and services running in your cloud accounts, with no agent to install.
Where to check the product, price, security, and support.
Research observations recorded: 1. Evidence quality: Some support.
Recorded score and category rank across research updates.
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