Best Honeypot Daemon (potd) Alternatives & Competitors in 2026
Top picks: Honeybrid, Tracebit Dynamic Security Canaries, Anantis TrapEye — plus 45 more compared.
Security OperationsTop picks: Honeybrid, Tracebit Dynamic Security Canaries, Anantis TrapEye — plus 45 more compared.
Security OperationsHoneypot Daemon (potd) is a free Honeypots & Deception tool. Security professionals most commonly compare it with Honeybrid, Tracebit Dynamic Security Canaries, Anantis TrapEye, Guardpot AI-Powered Cyber Deception, and CatchProbe SmartDeceptive. All 48 alternatives are matched by shared capabilities, tags, and NIST CSF 2.0 coverage.
A closer look at the 8 most relevant alternatives and competitors to Honeypot Daemon (potd), including their key features and shared capabilities.
A hybrid honeypot framework that combines low and high interaction honeypots for network security
Cloud-native deception platform deploying dynamic security canaries
Detects intruders the moment they interact with your network.
AI-powered deception platform using honeypots to detect & disrupt attacks
AI-based deception platform for collecting cyber threat intelligence
Credential-based deception platform that lures attackers to capture stolen creds
AI-powered deception platform for early APT and advanced threat detection
AI-powered deception platform for cloud threat detection using honeytokens
A hybrid honeypot framework that combines low and high interaction honeypots for network security
Cloud-native deception platform deploying dynamic security canaries
AI-powered deception platform using honeypots to detect & disrupt attacks
AI-based deception platform for collecting cyber threat intelligence
Credential-based deception platform that lures attackers to capture stolen creds
AI-powered deception platform for early APT and advanced threat detection
AI-powered deception platform for cloud threat detection using honeytokens
Deception platform using external-facing decoys for threat intel & recon detection
Adversary engagement & deception platform for detecting advanced threats
AI-driven deception platform using honeypots and decoys to detect threats.
Deception platform that diverts attackers & provides threat intelligence
AI-driven deception tech creating cyber clones to trap attackers & detect threats
Crowd-sourced honeynet providing real-time threat intelligence and protection
Deception-based intrusion detection system for CRITIS compliance
AI-powered fraud prevention using bots to engage scammers and extract intel
Real-time ransomware attack deflection through deception and diversion
Active Directory deception technology for threat detection and response
Agentless deception platform with internal & external decoy deployment.
Agentless network defense platform using deception to preemptively disrupt threats.
Network deception tool deploying lures to detect & analyze advanced threats.
Deception platform using decoys to detect lateral movement & identity attacks.
Real-time customer journey monitoring platform for fraud & bot detection.
Deception-based breach detection tools including honeypots & canary tokens.
Cyber deception platform for early threat detection, attacker engagement & response.
A signature-based, multi-threaded honeypot detection tool written in Golang that identifies honeypots through crafted requests and response analysis.
Fake protocol server simulator supporting 50+ network protocols for deception
TANNER is a remote data analysis service that evaluates HTTP requests and generates responses for SNARE honeypots while emulating application vulnerabilities.
Cross-platform HTTP honeypot that traps bots with infinite data streams
A low-interaction honeypot that simulates network services to detect intrusion attempts
SaaS cyber deception platform deploying decoy sensors to detect attackers.
Open-source nonprofit org developing honeypot tools & threat research.
HoneyDB is a honeypot-based threat intelligence platform that provides real-time insights into attacker behavior and malicious activity on networks.
Deception based detection techniques with MITRE ATT&CK mapping and Honey Resources.
Galah is an LLM-powered web honeypot that mimics various web applications by dynamically responding to HTTP requests.
Create and monitor fake HTTP endpoints automatically with Honeyku, deployable on Heroku or your own server.
A serverless application that creates and monitors fake HTTP endpoints as honeytokens to detect attackers, malicious insiders, and automated threats.
A combination of honeypot, monitoring tool, and alerting system for detecting insecure configurations.
A PHP port of Rack::Honeypot, a spam trap that detects and blocks spambots
A low interaction Python honeypot designed to mimic various services and ports to attract attackers and log access attempts.
Medium interaction SSH honeypot for logging brute force attacks and shell interactions.
Open-source honeypot tool for detecting and analyzing malicious activities in the Apache Struts exploit.
An Apache 2 based honeypot with detection capabilities specifically designed to identify and analyze Struts CVE-2017-5638 exploitation attempts.
A plugin repository that extends the Honeycomb honeypot framework with additional features and capabilities for enhanced threat detection and analysis.
A low interaction honeypot to detect CVE-2018-2636 in Oracle Hospitality Applications.
A low-interaction honeypot to detect and analyze attempts to exploit the CVE-2017-10271 vulnerability in Oracle WebLogic Server
Honeypot tool with bug-catching capabilities and support for multiple protocols.
A web-based visualization tool that displays statistics and generates charts from Shockpot honeypot data stored in PostgreSQL databases.
Common questions security professionals ask when evaluating alternatives and competitors to Honeypot Daemon (potd).
The most popular alternatives to Honeypot Daemon (potd) include Honeybrid, Tracebit Dynamic Security Canaries, Anantis TrapEye, Guardpot AI-Powered Cyber Deception, and CatchProbe SmartDeceptive. These Honeypots & Deception tools offer similar capabilities and are frequently compared by security professionals evaluating their options.
