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By practitionersDiagnostic & Risk Management

You are already using AI.Do you know your risk exposure?

We assess, prioritize, and mitigate AI risks — before they turn into fines, incidents, or failed audits.

Get Your AI Risk Assessment

Google AcceleratorGoogle Accelerator: AI for Cybersecurity

ANPD SandboxParticipant — AI Regulatory Sandbox (Brazil)

Ex-AppleEx-NubankBuilt by AI & security experts

Corporate Risk Alert

AI is moving faster than governance
Shadow AI and unchecked AI agents are becoming a silent liability.

Shadow AI and autonomous agents are quietly becoming a business risk. Employees and AI systems are already handling sensitive corporate data — often outside approved controls.

  • Shadow AI bypassing controls
  • Sensitive PII leakage to external
  • Regulatory non-compliance (EU AI Act, GDPR, LGPD)

Data Exposure

ServiceNow misconfigured KB exposed sensitive corporate data

Thousands of organizations exposed sensitive data through misconfigured Knowledge Bases.

Data Exposure

Copilot prompt exploitation leaking personal data

Proprietary source code was leaked to OpenAI after employees used ChatGPT for debugging.

No AI Governance

97% of AI-related breaches happened without AI governance

AI incidents are no longer hypothetical. The lack of visibility and control is the primary driver of new breaches.

Our consulting services

AI risk assessment
A diagnostic grounded in real-world AI risks

Prioritized Risk Heatmap

We uncover how your AI systems can actually be abused, and what to fix first. A clear visibility into your highest exposure areas mapped to frameworks and business impact.

Clear Technical & Governance Gaps

Identifies missing controls, policy vacuums, and technical vulnerabilities.

30-90 Day Remediation Roadmap

Audit-ready documentation and step-by-step plan for leadership.

Full Stack AI Diagnostic

Our assessment goes beyond the model. We analyze the entire agentic chain, from internal MCPs to external third-party AI tools and proprietary knowledge bases.

AI Agents
Diagnostic Active
MCPs (Internal/External)
Diagnostic Active
AI Tools (Third Party)
Diagnostic Active
Knowledge Bases
Diagnostic Active
Agent Coding
Diagnostic Active
Plugins
Diagnostic Active
APIs
Diagnostic Active
Databases
Diagnostic Active

AI Risk & Compliance

Jan 20, 2026 • Framework Mapping

MITRE ATLAS4.2%

ASR: 42%
Reconnaissance & Info Gathering
Model Architecture Discovery (AML.T0000)
67%
Training Data Exposure
45%
API Endpoint Enumeration
52%
Model Version Fingerprinting
38%
Model Access & Extraction
Model Extraction via API (AML.T0024)
41%
Model Parameter Theft
22%
Inference API Abuse
58%
Model Download/Cloning
8%
Adversarial Attacks & Evasion
Adversarial Example Generation (AML.T0043)
73%
Model Evasion Attack (AML.T0015)
66%
Gradient-Based Attack
48%
Transfer Attack
37%
Data & Training Pipeline
Training Data Poisoning (AML.T0020)
29%
Dataset Integrity Compromise (AML.T0031)
34%
Backdoor Injection (AML.T0018)
12%
Supply Chain Data Attack
15%

NIST AI RMF1.9%

NIST AI RMF: 15%
Failed(Red Indicators)
Hate Speech
25%
WMD Content
45%
Privacy Violation
43%
Disinformation Campaigns
47%
Weapons Content
35%
Cybercrime
55%
Harassment
47%
Personal Attacks
39%
Dangerous Activity Content
29%
Passed(Green Indicators)
Debug Interface Exposure
0%
Function-Level Authorization Bypass
0%
Object-Level Authorization Bypass
0%
PII via Social Engineering
0%
SQL Injection
0%
+6 more passed tests
0%

Guardion Framework2.1%

Issues: 21
Critical Combinations
Lethal Trifecta
Agents with private data access + untrusted content + external communication
3
System Prompt Extraction
7
Individual Risk Factors
Private Data Access (Isolated)
2
Untrusted Content Processing
4
External API Calls
1
Agent Vulnerabilities
Tool Calling Bypass
2
Memory Poisoning
1
Context Window Overflow
1
Mitigations in Place(Green)
Input Sanitization
(Effective)
0
Output Filtering
(Effective)
0
Rate Limiting
(Effective)
0

OWASP LLM Top 1038.7%

ASR: 33%
Input Security
Prompt Injection
56%
Direct Prompt Manipulation
48%
Indirect Prompt Injection
32%
Output Security
Insecure Output Handling
43%
Sensitive Information Disclosure
38%
PII Exposure
29%
API Key Leakage
15%
Data Integrity
Training Data Poisoning
22%
Model Bias Injection
18%
System Security
Model Denial of Service
67%
Supply Chain Vulnerabilities
41%
Insecure Plugin Design
52%
Model Theft
28%
Model Extraction
35%
Human-AI Interaction
Excessive Agency
8%
Overreliance
12%
Insufficient Human Oversight
24%
Autonomous Action Risks
0%
Highest ASR
73%
Adversarial Examples
Critical Vulnerabilities
21
Issues
Top Threat
67%
Model DoS
Passed Tests
11
NIST AI RMF
The Process

Our Methodology
Identify. Map. Mitigate.

Inventory & Risk Surface

We discover what you actually have — including what IT doesn’t see.

  • Shadow AI usage across teams
  • AI agents, tools, models, and APIs
  • Sensitive data flows (PII, IP)
  • Access management

AI Red Teaming & Mapping

We actively test and map risks using offensive AI security techniques.

Prompt InjectionPII LeakageAgent AbusePermissions
NIST
AI RMFNIST AI RMF
ISO
42001ISO 42001
EU AI
ActEU AI Act
OWASP
LLMOWASP LLM Top 10

Mitigation

We turn findings into decisions and action.

  • Immediate technical fixes (0–30 days)
  • Security controls (30-60 days)
  • Governance & Policies (60-90 days)
Track record

Why GuardionAI
Built by people who secured AI at scale.

Rafael Sandroni

Rafael Sandroni

Founder & CEO — GuardionAI

Ex-AppleEx-NubankMSc Security USPEntrepreneur First

"We realized companies are running AI fully blind. This assessment is the diagnostic they need to regain control."

  • Based on Real Attack Data (in the wild)
  • Combines offensive AI security + governance
  • Built by practitioners, not consultants

Industry Recognition

ANPD

Regulatory Sandbox

ANPD Participant

Selected for the official Regulatory Sandbox to shape the future of AI governance.

OWASP

Community Leadership

OWASP Contributor

Leading the guide for securing AI agents and LLM application standards.

Google for Startups

AI for Cybersecurity Program

Google for Startups Selected

Selected for the Google AI for Cybersecurity program as a top AI security innovator.

Expert Standards & Guides

AI Security Solutions Landscape for Agentic AI

Q3 2025 Resource

AI Security Solutions Landscape for Agentic AI

Comprehensive mapping of the security ecosystem for autonomous AI agents.

Securing Agentic Applications Guide 1.0

Standard v1.0

Securing Agentic Applications Guide 1.0

The definitive framework for implementing security controls in agentic workflows.

OWASP Top 10 for Agentic Applications

Upcoming 2026

OWASP Top 10 for Agentic Applications

Critical vulnerability mapping for the next generation of agentic AI systems.

Secure Your Future

Secure your AI before it becomes a liability

Get a clear, actionable view of your AI risk exposure — and a plan to fix it.

Get Your AI Risk Assessment