Lacework (now FortiCNAPP) vs Agent Security Suite
Detailed side-by-side comparison to help you choose the right tool
Lacework (now FortiCNAPP)
AI Cybersecurity
AI-powered cloud-native application protection platform providing behavioral threat detection, compliance monitoring, and vulnerability management across multi-cloud environments
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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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Lacework (now FortiCNAPP) - Pros & Cons
Pros
- ✓Minimal false positives due to AI-driven behavioral analysis
- ✓Comprehensive multi-cloud visibility and protection
- ✓Agentless deployment with rapid time-to-value
- ✓Strong integration with Fortinet security ecosystem
- ✓Automated compliance reporting and remediation guidance
Cons
- ✗Premium pricing targets enterprise market primarily
- ✗Learning period required for AI baselines to establish accuracy
- ✗Complex feature set may require security expertise to optimize
- ✗Now tied to Fortinet ecosystem following acquisition
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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