Lacework (now FortiCNAPP) vs Orca Security
Detailed side-by-side comparison to help you choose the right tool
Lacework (now FortiCNAPP)
Data Analysis
AI-powered cloud-native application protection platform providing behavioral threat detection, compliance monitoring, and vulnerability management across multi-cloud environments
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Starting Price
$50,000/yearOrca Security
Business AI Solutions
AI-powered agentless cloud security platform that provides comprehensive vulnerability management and compliance monitoring across multi-cloud environments
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EnterpriseFeature Comparison
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Lacework (now FortiCNAPP) - Pros & Cons
Pros
- ✓Polygraph behavioral engine automatically baselines normal activity and surfaces anomalies without requiring teams to write and maintain detection rules, dramatically reducing tuning overhead
- ✓Unified CNAPP consolidates CSPM, CWPP, CIEM, Kubernetes security, and vulnerability management into a single platform, replacing multiple point tools and their separate licenses
- ✓Agentless cloud scanning provides rapid time-to-value across AWS, Azure, and GCP accounts, with deeper eBPF agent-based runtime protection available for critical workloads
- ✓Strong attack path analysis correlates vulnerabilities, misconfigurations, and identity risks to prioritize the handful of exposures that actually create exploitable chains
- ✓Post-acquisition integration with the Fortinet Security Fabric enables unified visibility between cloud workload telemetry and network/endpoint security data
- ✓Continuous compliance automation with prebuilt policy packs for PCI DSS, HIPAA, SOC 2, NIST, and CIS saves significant audit preparation effort
Cons
- ✗Enterprise-only pricing with no published tiers or self-serve options makes it inaccessible for smaller teams and creates friction for evaluation
- ✗Brand transition from Lacework to FortiCNAPP has created documentation inconsistencies, confusion about product roadmap, and uncertainty for existing customers during integration
- ✗Initial deployment and onboarding across multi-cloud environments can be complex, particularly when tuning Polygraph baselines for noisy or highly dynamic workloads
- ✗Alert quality improves substantially after several weeks of behavioral learning, meaning early-stage detection can produce false positives before baselines stabilize
- ✗UI and query experience, while improved, still lags behind more recent CNAPP entrants like Wiz in terms of intuitive navigation and graph exploration
Orca Security - Pros & Cons
Pros
- ✓Agentless SideScanning deploys in minutes with a read-only role and achieves 100% workload coverage, eliminating the operational burden and blind spots of agent-based tools
- ✓Unifies CNAPP, CSPM, CWPP, CIEM, DSPM, AI-SPM, API security, and vulnerability management in a single platform, reducing tool sprawl and licensing overhead
- ✓Attack path analysis correlates multiple risk signals (vulns, misconfigs, identities, exposed data) to surface genuinely exploitable threats instead of raw alerts
- ✓AI-generated remediation produces ready-to-apply IaC and code fixes, shortening mean-time-to-remediation for DevOps teams
- ✓Strong multi-cloud parity across AWS, Azure, GCP, OCI, Alibaba, and Kubernetes — useful for enterprises with heterogeneous cloud footprints
- ✓Broad compliance coverage out of the box (CIS, PCI-DSS, HIPAA, SOC 2, NIST, GDPR, ISO 27001) with custom framework authoring
Cons
- ✗Custom enterprise pricing with no public tiers — smaller teams and startups often find it cost-prohibitive
- ✗Agentless architecture means near-real-time rather than true real-time detection; scan intervals can miss fast-moving runtime threats that EDR-style agents catch
- ✗Deep feature breadth produces a steep learning curve; fully operationalizing all modules (CIEM, DSPM, AI-SPM) requires dedicated tuning
- ✗On-premises and hybrid workloads outside of cloud-provider block storage are not covered natively
- ✗Alert noise can still be significant at scale despite attack-path prioritization, and custom query/policy tuning is often needed to reach signal parity with mature SOCs
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