IOanyT Innovations

Part of IOanyT’s engineering capability. Most clients reach this team through a Workflow Diagnostic or Proof Sprint. How we work

NEW SERVICE

Find AI Security Vulnerabilities Before Your Users Do

Specialized security review for AI features, LLM integrations, and AI-generated code. Testing against the OWASP LLM Top 10 framework.

Request a Security Assessment See What We Test

ISO/IEC 42001 certified for AI management, with ISO/IEC 27001 and ISO 9001.

Tests run in a test environment you provide; production is tested only with your written agreement. Selling AI into the EU? See the EU AI Act readiness assessment.

2016
Founded
ISO 27001
Certified
AWS
Certified
OWASP
LLM Top 10

IOanyT Innovations offers specialized AI Security Assessment services focused on the OWASP LLM Top 10 framework. The service covers the 2025 edition: prompt injection, sensitive information disclosure, supply chain, data and model poisoning, improper output handling, excessive agency, system prompt leakage, vector and embedding weaknesses, misinformation, and unbounded consumption. Available in three tiers: Focused Review (1-2 weeks), Full Audit (2-3 weeks), and Ongoing Monitoring (retainer), each at a fixed price agreed at scoping. Every finding includes severity rating, proof-of-concept, remediation steps, and verification tests. IOanyT is certified to ISO/IEC 42001 for AI management, with ISO/IEC 27001 and ISO 9001.

Testing the AI surface most tooling ignores For AI features, AI-generated code and LLM-powered applications. 1: Threat model — AI-specific — the, attack surface is not, the usual one. 2: Test the prompts — injection and, jailbreak attempts, against your app. 3: Probe exfiltration — what can be pulled, back out of it. 4: Check the Top 10 — OWASP LLM Top 10, compliance testing. 5: Score and remediate — a scored report with, the steps to fix it. IOanyT FIELD NOTE / AI SECURITY Testing the AI surface most tooling ignores For AI features, AI-generated code and LLM-powered applications. 01 Threat model AI-specific — theattack surface is notthe usual one 02 Test the prompts injection andjailbreak attemptsagainst your app 03 Probe exfiltration what can be pulledback out of it 04 Check the Top 10 OWASP LLM Top 10compliance testing 05 Score and remediate a scored report withthe steps to fix it OWASP LLM Top 10 · scored report with remediation

AI Features Have Attack Surfaces That Traditional Security Audits Miss

Traditional security audits test for SQL injection, XSS, and CSRF. But AI features introduce entirely new attack vectors:

  • Prompt injection that bypasses your safety guardrails
  • Data exfiltration through carefully crafted user inputs
  • Improper output handling that exposes internal system details
  • Excessive agency where AI agents take actions beyond their intended scope
  • Data and model poisoning that corrupts model behavior over time

These vulnerabilities don't show up in standard penetration tests. They require specialized testing that understands how LLMs process and respond to inputs.

AI-Specific Security Testing, Not Generic Pentesting

We don't run a standard penetration test and call it AI security. Our assessment is built specifically around the OWASP LLM Top 10 framework — the industry standard for AI application security.

Every finding includes:

Severity rating (Critical / High / Medium / Low)
Proof-of-concept demonstrating the vulnerability
Specific remediation steps
Verification test to confirm the fix

What We Test — OWASP LLM Top 10

The 2025 edition of the OWASP Top 10 for LLM Applications

1

Prompt Injection

Direct and indirect injection attacks that bypass system prompts

e.g., User input that makes the AI ignore its instructions

2

Sensitive Information Disclosure

AI revealing personal data, credentials or confidential business data

e.g., Prompts that pull another customer's records into a reply

3

Supply Chain

Third-party models, datasets, plugins and libraries

e.g., Compromised model weights or insecure API integrations

4

Data and Model Poisoning

Tampering with fine-tuning or RAG data pipelines

e.g., Malicious documents in a knowledge base that alter AI behavior

5

Improper Output Handling

AI outputs passed to other systems without validation

e.g., AI response containing JavaScript that executes in the browser

6

Excessive Agency

AI agents with more permissions or autonomy than the task needs

e.g., Chatbot that can modify database records

7

System Prompt Leakage

Secrets or rules exposed through the system prompt

e.g., A user coaxing out the instructions, keys or limits the prompt contains

8

Vector and Embedding Weaknesses

Access control and data leaks in RAG retrieval

e.g., Search results that surface documents the user may not see

9

Misinformation

Confident, wrong output that people or systems act on

e.g., Auto-executing AI-generated code or advice without review

10

Unbounded Consumption

Inputs that drive runaway cost or resource use

e.g., Recursive prompts that spike API costs

Our Process

1

Scope Definition

Day 1

Identify AI features, LLM integrations, and data flows to test.

2

Threat Modeling

Day 2-3

Map attack surfaces specific to your AI implementation.

3

Automated Scanning

Day 3-5

Run AI-specific security scanners against your application.

4

Manual Red-Teaming

Day 5-10

Hands-on testing by security engineers who understand LLM behavior.

5

Report & Remediation

Included

Scored report with proof-of-concept exploits and specific fix guidance.

6

Verification (Optional)

1-2 days

Re-test after fixes to confirm vulnerabilities are resolved.

Scope Options

Each scope is a fixed price, agreed at scoping.

Focused Review

1-2 weeks

Single AI feature or LLM integration (chatbot, RAG pipeline, or AI agent).

RECOMMENDED

Full Audit

2-3 weeks

All AI features + AI-generated code across entire application.

Ongoing Monitoring

Ongoing retainer

Quarterly re-assessment + continuous threat intelligence for AI features.

Why Not a Standard Penetration Test?

Factor Standard Pentest IOanyT AI Security
Scope OWASP Web Top 10 OWASP LLM Top 10 + Web Top 10
Prompt injection Not tested Full direct + indirect testing
Data exfiltration via AI Not tested Tested across all AI interfaces
AI output sanitization Not tested Verified for XSS, code injection
Agent permissions Not tested Tested for excessive agency
AI threat model Generic Built for your AI implementation

Who This Is For

AI Chatbot Deployments

Customer-facing AI chat that needs security validation before launch or scaling.

RAG Pipeline Security

Knowledge-based AI systems where data leakage or poisoning is a concern.

AI Agent Systems

Autonomous AI agents that take actions (API calls, database writes, tool use) needing permission boundary testing.

Frequently Asked Questions

Do you need access to our AI models?
No. We test at the application layer—how your AI features respond to inputs and what they expose in outputs. We don't need model weights or training data.

Can you test AI features built with any LLM provider?
Yes. Our testing is provider-agnostic—OpenAI, Anthropic Claude, AWS Bedrock, open-source models. The attack vectors are the same.

What do we get at the end?
A scored report with every finding categorized by severity, proof-of-concept exploits, specific remediation steps, and verification tests. Executive summary included for non-technical stakeholders.

How is this different from AI Code Rescue?
AI Code Rescue focuses on production hardening (tests, CI/CD, monitoring, architecture). AI Security Assessment focuses specifically on security vulnerabilities in AI features. They're complementary, and some projects need both.

Do you offer remediation?
The assessment includes specific fix guidance. If you want us to implement the fixes, we can scope that as a separate hardening engagement.

Getting Started

1

Describe your AI features

What they do, which LLM provider, user-facing or internal

2

Receive scope proposal

Which OWASP categories apply, timeline, fixed price

3

Assessment begins

Minimal disruption to your team

Request a Security Assessment

Further reading

Don't Wait for a Security Incident to Find Out What Your AI Can Expose.

AI features create new attack surfaces that traditional security audits miss. Let us find the vulnerabilities before your users do.

Get Started Book a 15-Minute Call

Prefer to start through Upwork, with escrow and milestone payments? Several of our fixed-scope engagements are available there. See them on Upwork