Enterprise AI Red-Team Verification Platform — 790+ Adversarial Security Classes, OWASP ASI Top 10, MCP & Agent Security. 33+ LLM Platforms Including 15 Chinese Models.
Evidence Ledger
Metrics, implementation details, integrations, and validation frames are surfaced before the pitch so security teams and AI search systems can cite concrete proof points.
Security Classes · internal measurement, public benchmark suite on roadmap
790+ total classes (210 attacks + 218 probes + 201 detectors + 125 generators + 43 MCP/agent classes = 797)
FastAPI / React / Docker / Kubernetes
Enterprise AI red-team platform with 790+ security classes, complete OWASP ASI coverage, MCP protocol fuzzing, and native China LLM ecosystem support
Citation snippets
Short, source-backed product facts for analyst notes and buyer diligence. Each links to the canonical product page.
https://innora.ai/products/nora-veridicPositioning
Nora Veridic is an Innora.ai product: Enterprise AI Red-Team Verification Platform — 790+ Adversarial Security Classes, OWASP ASI Top 10, MCP & Agent Security. 33+ LLM Platforms Including 15 Chinese Models.
https://innora.ai/products/nora-veridic
Primary proof
Nora Veridic reports Security Classes of 790+, and LLM Platforms of 33+, per its published technical specifications.
https://innora.ai/products/nora-veridic
Integration context
How Nora Veridic differs from the typical baseline: Enterprise AI red-team platform with 790+ security classes, complete OWASP ASI coverage, MCP protocol fuzzing, and native China LLM ecosystem support
https://innora.ai/products/nora-veridic
AI Red-Team Proof
A buyer-readable map from adversarial module coverage to OWASP ASI, MCP, agent, and LLM platform evidence.
The test suite spans attack patterns, probes, detectors, and generators rather than relying on a small prompt list.
The platform maps AI red-team findings to ASI-01 through ASI-10 for governance and audit conversations.
Protocol fuzzing, tool-chain hijacking, context poisoning, and rogue-agent simulation cover agentic AI attack paths.
Coverage includes global and China-native model providers so cross-border AI systems can be tested in one workflow.
Traditional WAF/SAST cannot parse LLM semantic vulnerabilities. MCP protocols and tool-calling enable single prompt manipulations to escalate into RCE and lateral data exfiltration. Cross-border compliance gaps between GDPR/AI Act and China CAC regulations demand a unified red-team standard — yet most tools only test basic prompt injection.
790+ adversarial security classes covering the complete OWASP ASI Top 10, with dedicated MCP protocol fuzzing and agent security testing. 33+ LLM platform adapters including 15 Chinese providers. Automated red-teaming for LLMs and Agents — Truth Engineered.
Built for high-performance security operations and enterprise-scale protection.
210 attack classes, 218 probes, 201 detectors, 125 generators + 43 MCP/agent classes — 790+ security classes total (797) covering prompt injection, jailbreak, data poisoning, multi-turn hijacking, and multimodal adversarial attacks.
125 automated generators dynamically mutate payloads based on LLM context. Multi-round adversarial engagement with adaptive mutation engine and success rate optimization.
43 dedicated MCP/framework security classes. Protocol-level fuzzing, tool-chain hijacking, context poisoning, and rogue agent simulation for the 2026 agentic AI attack surface.
201 specialized detectors convert scanning blind spots into precise exploits. Automated response analysis sandbox with vulnerability assertion and evidence chain generation.
Native compatibility with 15 Chinese LLM platforms (Baidu ERNIE, Alibaba Qwen, Tencent Hunyuan, ByteDance Doubao, Zhipu ChatGLM, Moonshot Kimi, DeepSeek, and more). Built-in compliance testing for China AI regulations.
90+ REST API endpoints for CI/CD pipeline integration. SARIF v2.1.0 compliant reports for GitHub Advanced Security, SonarQube, and GitLab CI. Docker/Kubernetes deployment with air-gapped support.
Detailed specifications and infrastructure requirements.
210 attack classes incl. OWASP ASI Top 10 2026 modules (asi_top10_2026)
218 probe + 201 detector classes driving adversarial test execution
125 generator adapters covering 33+ platforms, incl. 15 Chinese LLMs
43 MCP/framework modules — scanner, fuzzer, discovery; OAuth 2.1 DPoP (RFC 9449)
LLM-as-a-Judge pipeline (RuleFilter/SemanticCache/CircuitBreaker) → SARIF v2.1.0 + EU AI Act mapping
How this product compares to typical alternatives.
| Feature | Nora Veridic | Typical Baseline |
|---|---|---|
| Security Modules | 790+ (Attacks + Probes + Detectors + Generators + MCP/Agent) | Promptfoo ~100 probes; Garak ~100 probe categories |
| OWASP ASI Top 10 | Native 10/10 (ASI-01 to ASI-10) | Manual mapping (Promptfoo); Partial via plugins (Garak) |
| MCP/Agent Security | 43 Dedicated Classes (Protocol Fuzzing, Tool Hijacking, Rogue Agent) | No native support (text-only prompts) |
| LLM Coverage | 33+ Platforms (15 Chinese: DeepSeek, Qwen, ERNIE, Hunyuan, ChatGLM) | 20+ providers (Promptfoo); 10+ families (Garak); No China focus |
| Compliance Reporting | SARIF v2.1.0 + ASI Audit Trail + Executive Reports | JSON/CSV export only (Open Source); Enterprise GRC (Robust Intelligence $100K+) |
| Deployment | SaaS / Docker / K8s / Air-Gapped | CLI only (Promptfoo/Garak); Cloud-only (Robust Intelligence) |
Transparent pricing for Nora Veridic. Start free, scale as you grow.
USD
20% annual discount available; monthly view remains selectable.
4 public tiers plus enterprise for 5+ seats.
Annual billing saves 20%. Benchmark: Robust Intelligence (Cisco) $100K+/yr, HiddenLayer $50K+/yr, Promptfoo Free (OSS), Garak Free (OSS)
billed annually
billed annually
Dedicated MCP scanner/fuzzer toolchain, multi-agent exploit simulation, and tool-chain hijacking tests — beyond the 43 MCP/agent security classes already included in the Team tier 790+ (Team+ only)
CAC AI regulation compliance testing for 15+ Chinese LLM platforms
Expert-led red team exercise with SOC2/ISO27001 audit-grade compliance report ($15K-$30K)
Annual billing from $35,000/yr — vs Robust Intelligence $100K+ / HiddenLayer $50K+. PayPal invoicing available. Annual plans save 20%.
China market: annual licensing with VAT invoice support
Annual license with WeChat group support and VAT invoice
Full API access with private model integration support
Air-gapped on-premise deployment. 20-25% annual maintenance from year 2
Answers to common buyer questions, backed by product specifications and differentiation data.
790+ adversarial security classes: OWASP ASI 10/10, MCP fuzzing, RAG poisoning. SARIF v2.1.0 reports. 33+ LLM platforms.
Nora Veridic publishes measurable product evidence including Security Classes: 790+; LLM Platforms: 33+; OWASP ASI: 10/10. SECURITY MODULES: 790+ total classes (210 attacks + 218 probes + 201 detectors + 125 generators + 43 MCP/agent classes = 797).
Nora Veridic integrates with FastAPI, React, Docker, Kubernetes, SARIF.
Enterprise AI red-team platform with 790+ security classes, complete OWASP ASI coverage, MCP protocol fuzzing, and native China LLM ecosystem support
Evaluate Nora Veridic on real workloads — live dashboard and enterprise trial available.