Agentsh vs Sublime Security
Side-by-side comparison of features, pricing, and ratings
At a glance
| Dimension | Agentsh | Sublime Security |
|---|---|---|
| Pricing | Free (open-source) | Paid (contact-only) |
| Primary Use Case | Runtime security for AI agents | AI-driven email threat detection |
| Deployment | CLI/container shim (on-premises) | Cloud service (SaaS) |
| Key Feature | Syscall-level policy enforcement (allow/deny/approve) | Conversational analysis for BEC/VEC detection |
| Integrations | E2B, Vercel, Modal, Cloudflare, Daytona, and more | Microsoft 365, Google Workspace |
| Target User | Developers & security engineers building autonomous agents | SOC analysts & IT teams in mid-to-large enterprises |
For runtime security of autonomous AI agents, Agentsh is a mandatory, open-source shim with syscall-level enforcement and zero cost—ideal for developers. If your threat landscape is email-based BEC/VEC attacks in a large enterprise, Sublime Security delivers AI-powered detection with low false positives but requires paid, contact-only pricing. Choose based on your attack surface: agent execution vs. email inbox.

agentsh enforces syscall-level policy for AI coding agents — file, network, and process control that holds no matter what the prompt says.
Visit Website
Agentic email security that auto-triages reported phishing and writes backtested detections in Sublime Script
Visit WebsiteWhat real users say: Agentsh vs Sublime Security
Not marketing copy and not our opinion — a structured sweep of public discussion (reviews, forums, communities and video comments), showing what people praise and what they complain about for each tool.
Agentsh
15 mentions across 4 sources · 64% positive — mixed (averaged across 4 sources)
Hacker News, Bluesky, GitHub, Lemmy
What users praise
- • Prompt-proof enforcement at the syscall level, resilient to jailbreaks.
- • Captures subprocess trees including pip installs and npm scripts.
- • Full audit log with approval gates for risky operations.
- • Drop-in deploy: no code changes, works with any agent harness.
What frustrates them
- • Regression bugs in recent releases break specific environments.
- • Network domain denies bypassed by subprocesses without proxy env.
- • Cannot enforce database query restrictions at execution layer.
- • JSON output mode leaks non-JSON warnings in v0.19.1.
Researched Jul 6, 2026
Sublime Security
20 mentions across 2 sources · 80% positive (weighted across 2 sources)
YouTube, Lemmy
What users praise
- • Verdicts show matched detections and signal analysis — analysts can read why, not trust a score
- • Sublime Script is a YARA-like language your engineers can inspect, test, and tune
- • ASA auto-triages user-reported phishing end to end, cutting the abuse-mailbox backlog
- • ADÉ authors backtested, environment-specific detections that land ready for one-click approval
What frustrates them
- • Community footprint is thin — one video thread, and no independent Reddit or HN validation
- • Vendor efficiency claims (80% faster, 70% fewer FPs) are unverified by third parties
- • Tuning workload is real and continuous if no one owns the rule library
- • Not set-and-forget — teams replacing a legacy SEG should expect an operational shift
Researched Oct 14, 2026
Who should pick which
- Developer building autonomous AI agentsPick: Agentsh
Agentsh provides deterministic, syscall-level enforcement that secures agents against jailbreaks and prompt injection, with drop-in integration via a shim—essential for production deployment.
- Security engineer in an enterprisePick: Sublime Security
Sublime's AI-driven email security with low false positives and custom detection rules (Sublime Script) is purpose-built for SOC teams fighting BEC/VEC attacks.
- Solo founder running AI agents on sandbox platformsPick: Agentsh
Agentsh is free, open-source, and integrates with popular sandboxes like E2B, Vercel, and Modal, offering audit logs and subprocess visibility at no cost.
- SOC analyst needing email threat huntingPick: Sublime Security
Sublime provides a threat hunting interface and deep email attack pattern visibility, enabling proactive investigation of advanced threats.
- Team protecting secret exposure from agentsPick: Agentsh
Agentsh controls access to environment variables and credentials, preventing secret leakage even under compromised agent prompts.
Frequently Asked Questions
Agentsh vs Sublime Security: which should you choose?
For runtime security of autonomous AI agents, Agentsh is a mandatory, open-source shim with syscall-level enforcement and zero cost—ideal for developers. If your threat landscape is email-based BEC/VEC attacks in a large enterprise, Sublime Security delivers AI-powered detection with low false positives but requires paid, contact-only pricing. Choose based on your attack surface: agent execution vs. email inbox.
Are Agentsh and Sublime Security direct competitors?
No. Agentsh secures AI agents at the execution layer (syscalls), while Sublime Security detects email threats like BEC/VEC. They address different attack surfaces.
Does Agentsh require code changes?
No, it deploys as a drop-in shim between the agent harness and the OS, requiring no code changes to the agent itself.
Does Sublime Security work with Microsoft 365 and Google Workspace?
Yes, it integrates with both platforms for real-time threat detection and automated incident response.
Is Agentsh free?
Yes, Agentsh is open-source and free to use. There are no paid tiers listed.
Can Sublime Security be used by small businesses?
It is best for mid-to-large enterprises with dedicated security staff; small businesses without SOC resources may find it too complex.
What platforms does Agentsh support?
macOS (Homebrew), Linux (deb, rpm, arch, alpine, source), and container deployment via shell shim, with amd64 and arm64 support.
Does Agentsh prevent prompt injection?
Yes, it enforces syscall policy regardless of agent prompts or tool outputs, making it 'prompt-proof' against jailbreaks.
How does Sublime Security reduce false positives?
Through adaptive learning and conversational analysis, it distinguishes real threats from benign emails with high accuracy.
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Last reviewed: July 6, 2026