Security purpose-built for autonomous agents: tool-call inspection, MCP governance, agent identity, and runtime behavior control. For SaaS companies, the stakes are concrete: AI systems handle customer tenant data, API keys, tickets, and usage telemetry.
The AI Promotion Act (2025) takes a soft-law, innovation-first approach; APPI governs personal data.
Frameworks to satisfy: SOC 2 · ISO 27001 · GDPR/DPAs with customers
The AI Promotion Act (2025) takes a soft-law, innovation-first approach; APPI governs personal data.
Language coverage matters: primary business languages — Japanese, English. Ask vendors for measured accuracy per language, not a supported-language list.
Safeguards and guard models are configured for the use case — and updated or fine-tuned for your domain when needed.
Every command, tool call, and data access is observable in one place — across models, frameworks, and MCP servers.
Policies apply inline as agents act — block, redact, or require approval before the action executes, not after.
A preserved audit trail of every agent action — evidence you can hand to auditors, regulators, and incident responders.
PII and secrets detected and redacted in tool-call payloads and MCP traffic before data leaves your org.
GuardionAI builds its own guard models and publishes the benchmarks — the numbers below come from the public guard models guide. Independent alternatives are listed right after this section.
Guard models are natively trained on 8 languages (English, Spanish, Italian, Portuguese, Russian, Chinese, Hindi, Arabic) extended to 100+ languages, and evaluated across 1,000+ languages — including historical and dead languages — with graceful post-training decay.
Precision 0.98 • FPR 0.02
Recall 0.99 • aligned with the NVIDIA Aegis (Nemotron) content-safety taxonomy
Precision 1.00 • FPR 0.004
PII groups
Person name · Contact · Address · Government ID · Payment · Digital ID · Company
Secrets
AWS access & secret keys · GitHub tokens · Google API keys · Slack tokens · Stripe keys · Private keys & JWTs · npm tokens · Seed phrases · Generic API keys, secrets & passwords
Policy engine decisions return in under 130ms — 20× faster than cloud provider guardrails. Benchmarks: sensitivity L1–L4, methodology in the docs.
Request a demoIndependently listed from the Agent & MCP Security category of the index — each with its own analysis page.
Snyk acquired Zurich-based Invariant Labs in June 2025, folding the research team that coined 'tool poisoning' and 'MCP rug pulls' into Snyk Labs. Invariant's mcp-scan lineage lives on in the open-source Snyk Agent Scan, detecting 15+ risks across MCP servers and agent skills, and feeds Evo by Snyk, its agentic security orchestration platform launched October 2025.
For SaaS companies: check Snyk (Invariant Labs)'s coverage of SOC 2 and ISO 27001 requirements and its handling of customer tenant data before committing.
A GenAI-first platform focused on protecting LLM interactions, offering a secured gateway, browser integrations, and specialized protection for AI agents via MCP.
For SaaS companies: check Lasso Security's coverage of SOC 2 and ISO 27001 requirements and its handling of customer tenant data before committing.
Enterprise AI control platform combining an MCP gateway, threat detection on every request, shadow-AI discovery, and identity-aware permissions via Okta/Entra. Launched from stealth in November 2025; by mid-2026 customers include Gusto, Instacart, dbt Labs, and PagerDuty. Holds AARM Extended conformance — the highest tier in the CSA registry.
For SaaS companies: check Runlayer's coverage of SOC 2 and ISO 27001 requirements and its handling of customer tenant data before committing.
GuardionAI covers the full ai agent security stack (prompt defense F1 0.95, moderation F1 0.98, PII/DLP F1 0.97), and strong alternatives include Snyk (Invariant Labs), Lasso Security, Runlayer — compared in detail on this page.
Security purpose-built for autonomous agents: tool-call inspection, MCP governance, agent identity, and runtime behavior control.
SaaS companies route customer tenant data, API keys, tickets, and usage telemetry through AI systems, so the top risks are cross-tenant data leakage through shared AI features; prompt injection via customer-supplied content; secrets exposure in AI-assisted support. Relevant frameworks: SOC 2, ISO 27001, GDPR/DPAs with customers.
The AI Promotion Act (2025) takes a soft-law, innovation-first approach; APPI governs personal data. SaaS companies additionally answer to SOC 2, ISO 27001, GDPR/DPAs with customers.
Guardion's guard models are trained on 8 languages, extended to 100+ languages, and evaluated across 1,000+ languages — including historical and dead languages — with graceful post-training decay — ask any vendor for measured accuracy in your language rather than a supported-language list.
Published benchmarks report precision/recall/F1 and false-positive rate per model family. Guardion publishes its methodology and per-sensitivity results (L1–L4) in the guard models guide: https://guardion.ai/docs/guides/guard-models.