MOVIMENTO ASSEGURAR • EVIDÊNCIA REGULATÓRIA & DOSSIÊS DE AUDITORIA

Garantia de Segurança
& Evidência Técnica.

Transforme declarações de segurança em IA em evidências defensáveis e prontas para auditoria. Produzimos telemetria concreta, matrizes de verificação de controles e artefatos de teste necessários para satisfazer processos de compras corporativas, conselhos de administração e padrões regulatórios globais.

O Padrão de Garantia:

"Transformar requisitos de segurança em evidência de engenharia."

Alinhamento de Padrões

Alinhamento com Frameworks Globais

Explore como os testes técnicos da Navira Security se mapeiam diretamente contra os principais padrões globais de risco e governança de IA:

OWASP Top 10 for LLM & GenAI Applications

8 Key Technical Controls Mapped

The industry-standard taxonomy for core security vulnerabilities affecting Large Language Model architectures.

LLM01:2026Adversarial Manipulation

Prompt Injection & Context Hijacking

Direct and indirect prompt injection compromising model reasoning or overriding system policy.

Adversarial Testing Method:

Multi-turn automated and manual injection batteries across user prompts and retrieved RAG context.

Defensible Evidence Artifact:

Payload traces, prompt divergence logs, and mitigation boundary validation.

LLM02:2026Data Privacy

Sensitive Information Disclosure

Unintended exposure of PII, internal proprietary code, training secrets, or system prompts in model outputs.

Adversarial Testing Method:

Semantic probe batteries, membership inference attacks, and system prompt extraction sequences.

Defensible Evidence Artifact:

Data leakage verification transcripts and regex/semantic filter validation logs.

LLM03:2026Supply Chain

Supply Chain & Third-Party Model Vulnerabilities

Compromised base models, fine-tuned weights, prompt templates, or third-party agent plugins.

Adversarial Testing Method:

Component dependency scanning, fine-tuning artifact validation, and plugin capability auditing.

Defensible Evidence Artifact:

Third-party AI component BOM (Bill of Materials) and provenance verification records.

LLM04:2026Data Integrity

Data & Model Poisoning

Adversarial data introduced into training datasets, fine-tuning corpora, or RAG vector indexes.

Adversarial Testing Method:

Poisoned document ingestion testing and semantic boundary integrity evaluation.

Defensible Evidence Artifact:

Vector search divergence logs and retrieval poisoning exploit traces.

LLM05:2026Application Security

Improper Output Handling & Injection

Unsanitized model outputs passed directly to backend interpreters, browsers (XSS), or SQL engines.

Adversarial Testing Method:

Downstream execution fuzzing, client-side XSS injection, and SSRF payload triggering.

Defensible Evidence Artifact:

Downstream interpreter execution logs and sanitization verification.

LLM06:2026Agentic Execution

Excessive Agency & Unsafe Tool Execution

Granting AI models broad write access, unverified tool execution, or excessive permissions without human gates.

Adversarial Testing Method:

Autonomous tool escalation simulations, parameter tampering, and boundary bypass tests.

Defensible Evidence Artifact:

Tool call execution traces and dual-token authorization verification records.

LLM07:2026Intellectual Property

System Prompt Leakage

Extraction of proprietary system prompts, business rules, or internal guidance via adversarial elicitation.

Adversarial Testing Method:

Context boundary probing, token smuggling, and linguistic roleplay extraction.

Defensible Evidence Artifact:

System prompt defense verification logs and canary token test reports.

LLM08:2026RAG & Storage

Vector & Embedding Weaknesses

Adversarial embedding inversion, cross-tenant vector bleed, and metadata predicate tampering in vector stores.

Adversarial Testing Method:

Nearest-neighbor semantic clustering attacks and cross-tenant namespace probing.

Defensible Evidence Artifact:

Vector partition verification reports and database query filter audits.

Positioning Principle: Turn AI security requirements into engineering evidence — No generic checklists or fake certifications.
Entregáveis

Entregáveis de Garantia & Pacotes de Auditoria

Desenhados para capacitar vendas corporativas enterprise e atender auditores externos com rigor técnico:

1Dossiê de Evidência Técnica do Sistema de IA
2Matriz de Verificação de Controles (OWASP GenAI 2026, NIST AI RMF, ISO 42001)
3Pacote Técnico Preenchido para Questionários de Segurança Enterprise

Parâmetros do Engajamento

Duração:2 a 4 Semanas
Investimento Padrão:US$ 18.000 – US$ 40.000
Oferta Fundador (1/3):US$ 6.000 – US$ 13.300
Agendar Dossiê de Garantia →
Interactive Scope & Pricing Estimator

Scope Your AI Security Engagement

Configure your production AI architecture to calculate recommended testing depth, duration, and Founding Deal pricing.

⚡ 1/3 Price for First 5 Clients
3. High-Risk Integration Factors
RECOMMENDED ENGAGEMENT:Navira Security AI Red Teaming + Agentic IAM
Est. Duration: 3 to 4 Weeks

Scope Focus: Full-Stack Adversarial Testing, MCP Schema Audit, Delegated IAM Boundaries & 45-Day Retest.

Standard Scope Price:$25,000 – $50,000
⚡ Founding Client Deal (1/3 Price):$8,300 – $16,500 (1/3 Price)
Included: ✓ 45-Day Retest Guarantee2 of 5 Founding Spots Remaining

Confidential intake. Protected under Navira Security Standard Mutual NDA. Direct communication with [email protected].