AI Tool Comparison
Comparing as AI Phishing & Email SecurityAWS Rekognition vs Mimecast

AWS Rekognition
VS

Mimecast
Verdict by Category
Detailed Comparison
Feature
AWS Rekognition
Mimecast
Pricing
PaidAmazon Rekognition uses pay-as-you-go pricing with no upfront commitment across four usage categories. Image analysis: Group 1 APIs (face search/compare/index) and Group 2 APIs (labels, moderation, text, celebrities) are billed per image on a tiered scale starting at $0.0010 per image for the first million images per month, dropping to $0.0004 per image at higher volumes; Image Properties is billed separately starting at $0.00075 per image. Face metadata storage costs $0.00001 per face or user vector per month. Video analysis: stored video is billed per minute (for example $0.10/min for Label Detection, $0.05/min for Shot Detection), while streaming video events cost around $0.00817 per minute processed. Custom Labels charges $1 per training hour and $4 per inference hour (inference must be manually deprovisioned to stop billing). Face Liveness checks start at $0.015 per check for the first 500,000 checks per month, decreasing at higher volumes. Custom Moderation adds $5 per training hour plus a tiered per-image inference cost starting at $0.0012 per image. New AWS accounts get a 12-month Free Tier (1,000 images/month, 60 video minutes/month, 2 free training hours) plus up to $200 in AWS Free Tier credits.
PaidMimecast offers tiered pricing:
Protect plan: ~$5-8/user/month \u2014 AI email security, social graphing, phishing and BEC protection.
Protect Plus: ~$8-15/user/month \u2014 adds Targeted Threat Protection URL and attachment sandboxing, email continuity, and data protection.
Enterprise pricing for large organizations needing archiving, DMARC Analyzer, Incydr insider risk, and Aware compliance requires custom quotes. Contact Mimecast through mimecast.com for enterprise pricing and a free threat scan trial.
Categories
AI Developer APIs & PlatformsAI Cybersecurity ToolsAI E-commerce Tools
AI Cybersecurity ToolsAI Productivity Tools
Summary
AWS's deep learning API for image and video analysis, face recognition, and content moderation
Human Risk Management platform — email security, collaboration, insider risk, and AI governance
AWS Rekognition Pros & Cons
Pros
- Pay-as-you-go pricing with no minimum fees or upfront commitment, and a genuinely useful 12-month free tier
- No machine learning expertise required to add production-grade computer vision to an application
- Broad feature set covering faces, labels, text, moderation, and custom object detection in one service
- Custom Labels can train a usable model from as few as 10 to 20 images via AutoML
- Deep integration with the AWS ecosystem, including S3, Kinesis Video Streams, and Lambda
- Scales automatically from small projects to millions of images or hours of video per month
Cons
- Pricing can scale quickly for high-volume use cases (millions of images or hours of video per month), requiring careful cost modeling
- Requires an AWS account and familiarity with the AWS console, IAM permissions, and SDKs, which adds setup overhead for non-AWS users
- Face recognition and identity verification features raise privacy and compliance considerations, especially for biometric data in regulated regions
- Custom Labels training and inference are billed hourly even when idle unless resources are manually deprovisioned
- No built-in low-code interface for non-developers — it is API-first and expects a technical integration
Mimecast Pros & Cons
Pros
- 42,000+ customers — strongest mid-market penetration of any email security vendor globally
- Email Continuity is unique — business email keeps working during outages, a capability Proofpoint and Abnormal don’t offer
- Human Risk Management platform covers email + collaboration + insider risk + awareness in one subscription
- Collaboration Threat Protection extends to Microsoft Teams and Slack — critical as attacks shift to chat
- March 2026 agentic AI security platform — addresses AI-augmented threats and enterprise AI governance
- Strongest expansion year on record in 2025 — positive growth momentum under Permira ownership
- NLP + social graphing BEC detection analyzes communication patterns, urgency signals, and relationship history
Cons
- Taken private by Permira ($5.8B, 2022) — reduced public transparency vs publicly traded competitors
- BEC detection accuracy less precise than Abnormal AI’s pure behavioral approach per practitioner reviews
- Modular platform means costs escalate quickly when adding TTP, archiving, and insider risk modules
- No published pricing — requires sales engagement for enterprise and bundled plans
- Multiple acquired products (Incydr, Aware, Engage) can feel fragmented vs a natively unified platform