GuardionAI
GuardionAI: Broad AI threat monitoring with guardrails, telemetry, and enterprise deployment controls. Ranked #11 of 30 in LLM Security Tools by our editors (8.3/10); pricing: Paid; best for security teams needing broad AI threat monitoring.
At a glance
- Editor score8.3 / 10
- PricingPaid
- Best forSecurity teams needing broad AI threat monitoring
- Free planNo
- Prompt injection defenseYes
- Facts checked21 Sep 2026

Where it wins
- Covers prompt attacks, PII, secrets, output risks, and bot abuse
- Supports MCP and agent security with monitoring and incident findings
- Broad integrations across AI, cloud security, and observability tools
Where it doesn't
- No free plan for teams seeking a no-cost starting point
- Pay-as-you-go usage costs vary with scan and request volume
- Enterprise capabilities require an enterprise plan
Our verdict on GuardionAI
GuardionAI is an AI security and observability platform for customer-facing, autonomous, and coding agents. It inspects LLM and agent interactions through a security gateway and API, enforcing policies while detecting prompt injection, jailbreaks, abusive behavior, PII, and secrets. Security teams can also use runtime guardrails, MCP and agent security, audit logs, incident findings, and exportable telemetry. It supports web, API, and self-hosted deployment, making it suited to organizations managing AI systems across different operating environments.
Pricing is organized around two paid plans. Pay-as-you-go provides pay-per-use guardrail scans and observability requests, community support, and a 99.5% SLA. Enterprise adds unlimited requests, custom guardrail models and auto-tuning, on-premises deployment, SSO, SCIM, granular RBAC, 24/7 priority support, and a 99.99% SLA. The published plans show a usage-based entry path and a higher-control option for organizations that need dedicated governance, identity controls, and deployment flexibility.
The standout strength is coverage across the AI security lifecycle rather than a single detection layer. GuardionAI combines prompt and jailbreak detection, reversible PII redaction, secrets detection, output moderation, anomaly detection, bot-abuse detection, monitoring, and telemetry. Its integration list includes Pinecone, Weaviate, Milvus, Wiz, Prisma Cloud, Microsoft Defender, Orca Security, Hugging Face, MLflow, Weights & Biases, CycloneDX, Cloudflare, LiteLLM, Portkey, and OpenAI. Choose it when broad AI threat monitoring and hybrid deployment matter; consider a narrower tool if your priority is a simpler, single-purpose control.
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GuardionAI pricing
All 2 GuardionAI plans and prices →
GuardionAI fact sheet
| Free plan | No |
|---|---|
| Paid from | Not verified |
| Prompt injection defense | Yes |
| PII redaction | Yes |
| Secrets detection | Yes |
| Output guardrails | Yes |
| Model-abuse detection | Yes |
| Deployment model | Hybrid |
| Deployment | Cloud, Self-hosted |
| Platforms | Web |
| Compliance & security | GDPR, HIPAA, SSO/SAML, 2FA |
| Support | Email, Community, Docs · 24/7 |
| Built for | Small business, Mid-market, Enterprise (editorial estimate) |
| Integrations | 20 integrations: Pinecone, Weaviate, Milvus, Wiz, Prisma Cloud, Microsoft Defender … |
| Pricing | Paid (source) |
| Website | guardion.ai |
| Facts checked | 21 Sep 2026 |
GuardionAI integrations
GuardionAI lists 20 integrations on its own site.
- Pinecone
- Weaviate
- Milvus
- Wiz
- Prisma Cloud
- Microsoft Defender
- Orca Security
- Hugging Face
- MLflow
- Weights & Biases
- CycloneDX
- Cloudflare
- LiteLLM
- Portkey
- OpenAI
- Claude
- Gemini
- Cohere
- Meta
- AWS
Alternatives to GuardionAI
- Guardrails AIA broad open-source toolkit for runtime LLM validation, policy enforcement, and risk detection.9.3
- LLM GuardA self-hosted toolkit for scanning prompts, outputs, PII, secrets, and LLM risks.9.2
- NVIDIA NeMo GuardrailsA broad, self-hosted toolkit for controlling inputs, outputs, tools, and AI-agent behavior.9.1
See all GuardionAI alternatives →
Also Ranked In
GuardionAI is ranked in 2 of our directories.
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Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026
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