Envoy ◆
Envoy is a visitor management and workplace platform with secure check-in, emergency response, and compliance.
from $362/location/mo (billed annually)
About ByteHide
What is ByteHide?
ByteHide is a runtime AI security platform that protects modern applications and AI agents by detecting attacks, blocking exploits, and proving exploitability from inside your live code. Unlike traditional perimeter tools like WAFs, ByteHide operates in-process, where the actual exploit occurs.
What problem does it solve?
Security teams face alert fatigue from scanners flagging thousands of vulnerabilities, few of which are actually reachable in production. ByteHide filters out the noise by identifying which threats are truly exploitable in your running app. It also addresses the new attack surfaces introduced by AI: prompt injection, LLM jailbreaks, and malicious coding agents in development environments.
Who is it for?
ByteHide is built for developers and security teams at companies with modern applications and AI agents. It's especially valuable for teams that want to shift from reactive patching to runtime protection. It is not a replacement for static analysis or penetration testing, but a complementary layer that focuses on runtime threats.
Real use cases
Block SQL injection and XSS attacks in production, detect prompt injection targeting LLM-powered features, and monitor coding agents or MCP servers for suspicious activity. ByteHide helps security teams prioritize vulnerabilities by showing which ones are actually exploited, reducing alert fatigue and improving incident response.
Key features
- In-process detection — See and block attacks where they happen, inside your app.
- Runtime exploitability proof — Focus on vulnerabilities actually reachable in production.
- AI agent security — Detect prompt injection, LLM jailbreaks, and unsafe tool calls.
- Development environment protection — Monitor coding agents and MCP servers.
- Reduced alert fatigue — Prioritize real threats over theoretical vulnerabilities.
- Coverage for OWASP top 10 — Includes SQL injection, XSS, path traversal, CSRF, and more.
SaaSpartout Score
7.3
/10
Editorial score from our review methodology — not user ratings.
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ByteHide Pricing
ByteHide pricing: from €0/mo.
For comparison: the median starting price in Cybersecurity is $9.99/month, measured across 116 tools we track. See the full SaaS Pricing Index →
Free Plan
€0 per month — Start free and secure your first app. Includes core runtime protection features to get you started.
Pro Plan
Pricing available on request — For growing teams needing advanced runtime security, integrations, and priority support.
Enterprise Plan
Custom pricing — For large organizations requiring dedicated support, compliance, and custom deployment options.
All plans start with a free trial — get started on the free plan and upgrade as you scale.
Frequently asked questions
Is ByteHide free?
Yes, ByteHide offers a free plan that lets you start securing your apps at no cost. Paid plans are available for advanced features.
How much does ByteHide cost?
ByteHide's free plan costs €0 per month. Pro and Enterprise plans have custom pricing based on your needs; contact ByteHide for a quote.
Who is ByteHide best for?
ByteHide is best for developers and security teams working with modern applications and AI agents, especially those needing runtime protection and exploitability prioritization.
What are the top alternatives to ByteHide?
Alternatives include traditional WAFs like Cloudflare, runtime security tools like Contrast Security, and AI-specific security platforms like Protect AI. Compare features to find the best fit.
What is runtime security and why is it important?
Runtime security monitors and defends your application while it is running, detecting and blocking attacks that static scanners or perimeter tools miss. It's critical because many exploits only happen inside the live app.
Does ByteHide protect AI agents from prompt injection?
Yes, ByteHide is designed to detect and block prompt injection and LLM jailbreaks, protecting AI agents and LLM-powered features in production.
