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Acalvio ShadowPlex is a commercial honeypots & deception tool by Acalvio Technologies. Honeygrove is a free honeypots & deception tool. Compare features, ratings, integrations, and community reviews side by side to find the best honeypots & deception fit for your security stack.
Based on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion:
Mid-market and enterprise security teams with exposed APIs, web applications, or IoT infrastructure should use ShadowPlex to catch reconnaissance and credential attacks before they reach production systems. The platform's external-facing decoys generate high-fidelity threat intelligence in STIX format while monitoring for password spraying and brute-force attempts, directly addressing ID.RA and DE.CM in NIST CSF 2.0. Skip this if your attack surface is entirely internal or if you need deep visibility into post-breach lateral movement; ShadowPlex is optimized for early detection at the perimeter, not incident response.
Teams defending industrial control systems or running lab environments where you need fast honeypot deployment will find Honeygrove's native Siemens S7 protocol support genuinely useful; most open-source honeypots treat ICS as an afterthought. The modular Python architecture means you can spin up a functional trap in hours rather than weeks, and the 20 GitHub stars reflect a small but active maintainer base. Skip this if you need commercial support, pre-built integrations with your SIEM, or honeypots spanning multiple protocols; Honeygrove is purpose-built for depth in one protocol, not breadth across many.
Deception platform using external-facing decoys for threat intel & recon detection
Modular honeypot based on Python with support for Siemens S7 protocol.
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Common questions about comparing Acalvio ShadowPlex vs Honeygrove for your honeypots & deception needs.
Acalvio ShadowPlex: Deception platform using external-facing decoys for threat intel & recon detection. built by Acalvio Technologies. headquartered in United States. Core capabilities include External-facing decoys for web apps, APIs, and IPv6 IIoT services, Reconnaissance detection and early attack visibility, Credential abuse monitoring (password spraying, brute-force, credential stuffing)..
Honeygrove: Modular honeypot based on Python with support for Siemens S7 protocol..
Both serve the Honeypots & Deception market but differ in approach, feature depth, and target audience.
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