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AI Tool Comparison

Comparing as AI Phishing & Email Security
Proofpoint vs AWS Rekognition

Compare features, pricing, pros & cons, and user ratings to decide which AI tool is best for your needs.

Proofpoint

Proofpoint

VS
AWS Rekognition

AWS Rekognition

Verdict by Category

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View Proofpoint View AWS Rekognition

Detailed Comparison

Feature
Proofpoint
AWS Rekognition
Pricing
PaidProofpoint offers two market segments with distinct pricing: Proofpoint Essentials (SMB): Starting at approximately $36/user/year for basic inbound/outbound filtering, email continuity, and threat protection. Business+ and Professional tiers add encryption, advanced DLP, and social media archiving at higher per-user rates. Proofpoint Enterprise (TAP): Custom pricing based on mailbox count and selected modules. Third-party benchmarks place typical enterprise deployments at approximately $87,000/year median total cost, scaling to $100,000+/year when compliance, archiving, DLP, and Insider Threat Management modules are included. All enterprise pricing requires direct sales engagement. Contact Proofpoint through proofpoint.com for enterprise quotes and module bundling discussions.
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.
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Summary
World's largest enterprise email security platform — threat protection, DLP, compliance, and AI governance in one
AWS's deep learning API for image and video analysis, face recognition, and content moderation
Proofpoint

Proofpoint Pros & Cons

Pros

  • $2.45B ARR (FY2025) — most financially scaled pure-play email security company, dominant in Fortune 100
  • Most comprehensive platform — email security + DLP + compliance + archiving + insider threat + AI governance in one vendor
  • Targeted Attack Protection (TAP) — industry-leading URL defense and attachment sandboxing with billion-message threat intelligence
  • Adaptive Email Security (Tessian) adds behavioral AI BEC detection on top of gateway — closing the BEC gap
  • Proofpoint Essentials from $36/user/yr — accessible entry point for SMBs alongside enterprise platform
  • 24 years of email security experience — deepest threat intelligence database and compliance framework in the market
  • Hornetsecurity acquisition ($1B, 2025) — expanded European presence and SMB/MSP reach significantly

Cons

  • Taken private by Thoma Bravo ($12.3B, 2021) with multiple layoff rounds (2024-2025) — innovation pace concerns post-acquisition
  • EchoSpoofing incident (2024) — up to 14 million fraudulent emails/day routed through Proofpoint infrastructure for 6+ months — serious reputational event
  • Full enterprise stack median ~$87K/yr, $100K+/yr for complete platform — one of the most expensive email security options
  • Abnormal AI winning 1,300+ Proofpoint customers annually — behavioral AI gap increasingly acknowledged by enterprise buyers
  • Complex modular pricing — costs escalate quickly as compliance, DLP, and archiving modules are added
AWS Rekognition

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