Skills
Contact SalesOn-premise AI security agent platform for enterprise SOC teams
By Tanmay Verma, Founder · Last verified 06 Jul 2026
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Added 5d ago
75/100Safe BetIn short
Skills — On-premise AI security agent platform for enterprise SOC teams. Best for Enterprise SOC teams drowning in alerts and needing 24/7 autonomous response, Security teams requiring air-gapped or on-premise operation due to data residency mandates, Organizations with custom runbooks and tools that need tailored agent behavior. Contact Sales pricing.
Is Skills actually worth it?
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Editorial Verdict
Best for
Enterprise SOC teams drowning in alerts and needing 24/7 autonomous responseSecurity teams requiring air-gapped or on-premise operation due to data residency mandatesOrganizations with custom runbooks and tools that need tailored agent behaviorTeams wanting AI security agents with full observability, audit trails, and gradual autonomy rollout
Not ideal for
Small teams or individuals without dedicated security operationsUsers seeking a plug-and-play, no-configuration solution with published pricingOrganizations requiring a free or self-service tierTeams unwilling to engage with forward-deployed engineers or commit to a sales process
Ghost delivers where most security AI fails: inside your perimeter, with full audit trails and real autonomy controls. If you run a mature SOC with custom runbooks and can afford dedicated engineering support, it's top-tier. For smaller teams or those wanting a plug-and-play tool, look elsewhere.
Last verified: July 2026
What independent users actually report about Skills
We ran a structured research pass across product reviews, community discussions, and post-purchase forum threads to surface the patterns vendors won't publish themselves. Below: the recurring strengths, the hidden costs people mention most, and the cohort that consistently regrets adopting this tool.
132 mentions across 9 sources (Hacker News, YouTube, Product Hunt, App Store, Bluesky, Stack Overflow, GitHub, Lemmy, Tech Press).
26% positive74% critical
Recurring strengths
- +On-premise deployment ensures sensitive data never leaves your environment.
- +Secure proxy architecture eliminates credential storage on agents.
- +Full chain-of-thought logging for audit and compliance.
- +Variable autonomy levels (T1-T3) suit different SOC maturity.
- +Model-agnostic—bring your own LLM (BYO-LLM) avoids vendor lock-in.
Recurring frustrations
- −Extremely sparse community—almost no reviews, case studies, or benchmarks.
- −GitHub issues report trust boundary abuse and missing API actions.
- −No public pricing—likely expensive enterprise contracts only.
- −Initial setup and tuning likely requires significant engineering effort.
- −Agent performance heavily depends on custom training and runbooks.
Patterns worth knowing
Trust boundary concerns with community skill distribution
Seen on GitHub
Need for better skill sharing and management in enterprise
Seen on GitHub
Interest in agentic AI for security but lack of real-world feedback
Seen on Stack Overflow
Learning curve
advancedProductive in ~Days of setup
Hidden costs people mention
- • Likely requires dedicated engineering time for setup and tuning
- • Custom LLM integration may incur additional inference costs
- • Possible per-agent or per-seat pricing not disclosed
Viability Score
75/100
Safe BetHow likely is Skills to still be operational in 12 months? Based on 4 signals — momentum (how recently it shipped), wrapper dependency, revenue model, and web presence.
momentum
55
funding runway
70
website health
90
wrapper dependency
100
Last calculated: July 2026
How we score →Key Features
- On-premise, private cloud, or air-gapped deployment
- Secure proxy architecture — no credentials on the agent
- Full chain-of-thought logging and audit trail
- Variable autonomy levels (Notify, In-the-Loop, Above-the-Loop, Autonomous)
- Specialized agents for incident response, vulnerability management, supply chain security, phishing, BEC, identity
- Self-learning agents that adapt to your environment
- Bring your own LLM (model-agnostic)
- Forward-deployed engineer for customization and tuning
- Pre-built runbooks and playbook automation
- 24/7 coverage with human escalation
- Infrastructure included (Ghost engineer gets you running)
- Custom agent development for your specific tools and runbooks
- Correlates across systems with multi-step workflows
- Slack/Teams notification integration
About Skills
Contact SalesAdvancedAPI availableWeb · API · CLI
Ghost Security provides a platform to deploy specialized AI security agents that operate within your own perimeter. Agents handle incident response, vulnerability management, supply chain security, phishing response, and more — all with full observability and auditable reasoning steps. Designed for enterprise SOC teams drowning in alerts, Ghost deploys on-premise, in private cloud, or air-gapped, ensuring sensitive telemetry never leaves your environment. Agents are built around your specific tools, runbooks, and policies, with variable autonomy levels (Notify, In-the-Loop, Above-the-Loop, Autonomous). What makes Ghost different is its secure proxy architecture (no credentials on the agent), forward-deployed engineering support, and model-agnostic design that lets you bring your own LLM. Unlike most security AI tools that require sending data to a cloud, Ghost offers true data residency and customizable agents, but requires significant engagement and is not available as a self-service product.
Behind the Verdict
Ghost is built for enterprise SOCs that have tried the SaaS security AI route and hit data residency walls. The on-premise deployment and credential-less proxy architecture are genuine differentiators — your secrets never touch the agent. We'd reach for this when your team is drowning in alerts and you need 24/7 coverage that actually adapts to your environment. Where it bites: there's no self-service tier, no published pricing, and you'll need a forward-deployed engineer (that's included, but it's a relationship, not a transaction). Compared to tools like CrowdStrike Charlotte AI or SentinelOne Purple AI, Ghost is more hands-on but also more transparent in its reasoning. It's not for small teams or anyone expecting to deploy without human support. The autonomy controls are well thought out — you can start with Notify-only and work up to autonomous actions. In practice, the agents are specialized (incident response, vulnerability management, etc.) and require upfront configuration. If you have the ops maturity and budget, Ghost is a powerful force multiplier.
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Use Cases
- Automate end-to-end incident triage and containment across SIEM, EDR, and email systems.
- Prioritize CVEs by real asset exposure, reachability, and exploit availability, then generate remediation tickets.
- Detonate phishing URLs and sweep mail tenant for sibling deliveries, removing threats before user clicks.
- Monitor for tenant-rule changes, MFA bypass attempts, and finance-routing manipulation post-BEC playbook.
- Continuously inspect dependency chains and build provenance for supply chain security.
- Respond to MFA fatigue attacks and privileged account misuse with automated investigation and isolation.
Limitations
- Ghost is currently in early access with limited public documentation and no self-service signup.
- Pricing requires a sales conversation, and deployment relies on a forward-deployed engineer.
- The platform is still maturing, and the breadth of integrations is not yet disclosed.
Integrations
SlackTeams
Resources & Guides
Frequently Asked Questions
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