Dimension scores are derived from public data and fields; weighted into the composite. Reference only.
Specter Systems positions itself as an intelligent honeypot and threat intelligence platform. By deploying decoy services, it lures attackers into interaction, then uses “AI Mind” to assign a 0–100 risk score based on attacker behavior, tools, timing, and other factors. It also turns incidents into collectible Ghost Cards. Rather than a traditional blocking firewall, it is more focused on deception defense, early attack detection, and supplementing SOC intelligence.
In terms of protection, the product is built around honeypots, attacker trapping, AI scoring, and pattern prediction. Deployment is described as lightweight: users can click Deploy Ghost in the dashboard, select services and ports such as SSH, FTP, HTTP, Telnet, SMTP, and RDP, and launch within seconds. For management and alerts, the free tier already includes AI Risk Scoring and Ghost Cards, while paid tiers add email alerts and API access. Higher-tier plans support Pattern Predictions, Slack/Teams integrations, and Big Fish Alerts. The enterprise tier also offers Dedicated Infrastructure and Raw Threat Feed, suggesting it can support more complex security operations scenarios.
Pricing is straightforward: Ghost Scout is free, with 2 Active Ghosts and 7 days of data retention; Ghost Hunter costs $49/month and targets small teams, with 10 Active Ghosts, 90-day retention, API access, and email alerts; Ghost Master costs $299/month and is aimed at mid-sized enterprises and SOCs, offering unlimited Active Ghosts, 365-day retention, and collaboration integrations; Ghost Lord uses custom pricing and targets governments, Fortune 500 companies, and MSSPs.
Its strengths are a low barrier to entry, a friendly free trial, coverage of common attack entry points, and an attempt to turn attack noise into actionable risk scores. The drawbacks are also clear: the scraped text still shows “[EDIT]” placeholders in the team introduction, and the terms of service are marked as a template, so the company’s enterprise maturity needs further validation. It also does not disclose compliance certifications, data residency, payment methods, detection effectiveness, or customer case studies.
It is suitable for security researchers, small security teams, companies that need low-cost attack detection, and organizations looking to add deception-based intelligence to their SOC. Access from China is not clearly stated, and payment methods are not disclosed. If procurement or deployment is restricted, alternatives to compare include Thinkst Canary, T-Pot, OpenCanary, KFSensor, or domestic honeypot/deception security products.
⚠ This review is compiled from public sources and does not constitute a purchase recommendation. Verify all facts on the vendor's official site. Verify on enayti.com official site.
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