About Aginiti

Securing AI applications against the most critical LLM vulnerabilities

Why It Matters

The Critical Need for AI Security Testing

As AI becomes integral to business operations, security vulnerabilities can lead to devastating consequences.

Data Protection

Prevent sensitive data leakage through carefully crafted prompts that exploit your Agent's responses.

Regulatory Compliance

Meet evolving AI governance requirements with documented security testing aligned with industry standards.

Brand Protection

Prevent harmful outputs that could damage your reputation or lead to legal liabilities.

Alex Chen

Our Mission

Making AI security accessible to everyone

Why We Built Aginiti

In early 2025, our team encountered a critical prompt leakage vulnerability in a production AI Agents and LLM application. Traditional and common security tools weren't designed to catch these novel attack vectors, leaving AI applications vulnerable.

We created Aginiti to fill this gap - a specialized security testing tool focused exclusively on the unique vulnerabilities of large language models as defined by the OWASP Top 10 for LLMs.

Security Standard

Built on Top Standards of Security; OWASP & Beyond

We implement the official OWASP Top 10 for Large Language Model Applications

OWASP Foundation

The Open Web Application Security Project® (OWASP) is a nonprofit foundation that works to improve the security of software. Their Top 10 lists are the industry standard for application security.

LLM Top 10 Project

The OWASP Top 10 for LLMs identifies the most critical security risks for Large Language Model applications. Our tool implements comprehensive tests for all 10 categories.

Security Intelligence

Actionable Security Insights

Go beyond vulnerability detection with prioritized remediation guidance

Detailed Reports

Comprehensive vulnerability reports with severity ratings, impact analysis, and proof-of-concept examples.

Remediation Guides

Step-by-step guidance for fixing vulnerabilities tailored to your specific AI architecture.

Trend Analysis

Track security improvements over time with visual dashboards and metrics.

Our Journey

Project Timeline

How Aginiti evolved from concept to production

Initial Research

Identified gap in AI Agents and LLM security tooling while working on enterprise AI projects. Began cataloging novel attack vectors specific to language models.

Prototype Development

Built initial testing framework focused on prompt injection and training data poisoning. Validated with open source Ai Agents and LLM projects.

OWASP Alignment

Adapted tool to match the newly released OWASP Top 10 for LLMs, expanding coverage to all recommended categories.

Version 1.0

Released stable MVP version with support for agentic LLMs, CI/CD integration, and enterprise features.

Team

Core Contributors

Security researchers and AI engineers passionate about safe AI adoption

Tayyab Bin Tahir

Tayyab Bin Tahir

Founder & CEO

Ex-Mckinsey, Ex-Seimens

Sarmad Bin Tahir

Sarmad Bin Tahir

CTO

Ex-Meta (Virginia Tech, UMN)

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