Alternatives

AI Agent Security Alternatives

Evaluating AI security tools? We've built detailed alternative guides for every major player. Each guide covers why teams switch, what to look for, and honest recommendations for every use case.

How to Evaluate AI Security Tools

The AI agent security market is young and evolving fast. Tools range from cloud-hosted APIs that classify text for risks, to SDK-based solutions that embed directly into your agent framework, to open-source libraries you self-host entirely. The right choice depends on your latency requirements, data residency needs, framework support, and whether you need detection only or detection plus enforcement.

Each alternative page below provides an honest assessment — where the competitor excels, where Rune is stronger, and which tool is better for specific use cases. We include migration steps for teams considering a switch.

Lakera Guard

Enterprise pricing after Palo Alto acquisition

NeMo Guardrails

Steep Colang learning curve

Guardrails AI

Output validation ≠ security

LLM Guard

Slowing maintenance — last PyPI release months ago

Prompt Armor

Narrow scope — prompt injection only

Arthur Shield

Enterprise-only pricing — five-figure annual minimums

Rebuff

Effectively abandoned — last meaningful commit in 2023

Pangea AI Guard

Bundled pricing — you pay for the full security suite

SecureClaw

Static audits miss runtime attacks

Frequently Asked Questions

What makes a good AI agent security tool?

Five things matter most: detection accuracy (low false positives, catches novel attacks), latency (under 20ms for real-time blocking), framework support (native integration, not API wrappers), policy enforcement (block vs. alert vs. redact per rule), and observability (per-agent risk scores, alert routing, event timeline). Evaluate each tool against these criteria for your specific use case.

Should I use an open-source or commercial security tool?

Open-source tools like LLM Guard and Rebuff give you full control and zero cost, but require self-hosting, maintenance, and building your own monitoring dashboard. Commercial tools like Rune and Lakera Guard provide managed infrastructure, real-time dashboards, and dedicated detection model updates. Most teams start with a commercial tool for speed, then evaluate open-source for specific compliance or customization needs.

Can I use multiple security tools together?

Yes, and some teams do — for example, using Rune for runtime scanning and NeMo Guardrails for conversation flow control. However, multiple tools add latency and complexity. Rune's multi-layer detection (pattern + semantic + LLM judge) is designed to be comprehensive enough as a single solution.

Try Rune free and compare for yourself

The best comparison is hands-on. Add Rune to your agent in under 5 minutes and see how it works. Free tier includes 10,000 events per month.

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AI Agent Security Alternatives — Rune | Rune