First Recon AI Firewall vs Vijil Dome: Side-by-Side Comparison (2026)

First Recon AI Firewall: Inline firewall inspecting AI prompts/responses for injections & policy violations. built by First Recon AI. Core capabilities include Prompt injection attack detection, Jailbreak attempt detection, Data exfiltration detection in prompts and agent interactions..

Vijil Dome: Runtime LLM guardrails blocking prompt injections, PII leakage & policy violations. built by Vijil. Core capabilities include Policy-driven guardrail generation from natural language policies (code of conduct, regulatory requirements, agent instructions), Real-time blocking of adversarial prompts, prompt injections, and jailbreaks, PII leakage detection and blocking..

Both serve the LLM Guardrails market but differ in approach, feature depth, and target audience.

First Recon AI Firewall differentiates with Prompt injection attack detection, Jailbreak attempt detection, Data exfiltration detection in prompts and agent interactions. Vijil Dome differentiates with Policy-driven guardrail generation from natural language policies (code of conduct, regulatory requirements, agent instructions), Real-time blocking of adversarial prompts, prompt injections, and jailbreaks, PII leakage detection and blocking.

First Recon AI Firewall is developed by First Recon AI. Vijil Dome is developed by Vijil. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

First Recon AI Firewall integrates with OpenAI ChatGPT, Anthropic Claude, Google Gemini, xAI Grok, DeepSeek and 1 more. Vijil Dome integrates with Anyscale, DigitalOcean, Google Cloud, Replicate, AWS and 3 more. Check integration compatibility with your existing security stack before deciding.

First Recon AI Firewall and Vijil Dome serve similar LLM Guardrails use cases: both are LLM Guardrails tools, both cover LLM Guardrails, LLM Security, Prompt Injection. Review the feature comparison above to determine which fits your requirements.