Tessian vs Agent Security Suite
Detailed side-by-side comparison to help you choose the right tool
Tessian
🟢No CodeAI Cybersecurity
AI-powered email security platform using behavioral analysis to prevent phishing, data loss, and misdirected emails. Now integrated into Proofpoint's email protection suite following the December 2023 acquisition.
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EnterpriseAgent Security Suite
🟢No CodeAI Cybersecurity
Enterprise-grade security platforms that protect, monitor, and govern AI agents across their full lifecycle — from development through production deployment — with unified observability, threat detection, and compliance controls.
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CustomFeature Comparison
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Tessian - Pros & Cons
Pros
- ✓Behavioral approach catches sophisticated threats that rule-based filters miss entirely
- ✓Unique misdirected email prevention capability that most competitors lack
- ✓Non-disruptive security education model builds user awareness without blocking productivity
- ✓Fast 24-hour deployment with immediate protection through historical data analysis
- ✓Now backed by Proofpoint's enterprise infrastructure, threat intelligence, and global support
- ✓API-based deployment requires no email flow changes or infrastructure modifications
Cons
- ✗No longer available as standalone product—requires purchasing Proofpoint's enterprise email security suite
- ✗Enterprise-only pricing puts advanced behavioral features out of reach for small and mid-market businesses
- ✗Behavioral models require several weeks of learning period to reach optimal accuracy for new users
- ✗Integration into Proofpoint's platform means original Tessian UI and standalone management experience no longer available
Agent Security Suite - Pros & Cons
Pros
- ✓Purpose-built for agentic AI security rather than adapted from traditional application security tools
- ✓Unified visibility across SaaS platforms, custom cloud deployments, and endpoint agent environments
- ✓Intent-based detection examines full execution paths rather than just input/output filtering
- ✓Covers the entire agent lifecycle from build-time configuration through runtime execution
- ✓Shadow AI discovery identifies unmanaged agents operating outside security team oversight
- ✓Integrates with existing SIEM, identity management, and security operations workflows
- ✓Policy enforcement at the configuration level prevents misconfigurations before deployment
- ✓Analyst recognition from major cybersecurity research firms validates the approach
Cons
- ✗Enterprise pricing starts at $10,000+ annually, making it inaccessible for startups and small teams
- ✗Requires dedicated security engineering resources for deployment and ongoing policy management
- ✗Emerging category means vendor landscape is volatile with frequent acquisitions and pivots
- ✗Complex initial setup and integration process that can take weeks for large environments
- ✗Limited standardization across vendors makes comparison and migration difficult
- ✗Most platforms require custom enterprise sales processes with no self-serve options
- ✗Coverage depth varies significantly by agent platform and deployment model
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