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iBeh.ai

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AI Security Services

Specialized security testing for artificial intelligence and machine learning systems. From LLM penetration testing to AI governance, we help you build AI that's both innovative and secure.

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AI Red Teaming

Simulate adversarial attacks against your AI systems to identify vulnerabilities before they're exploited in the wild.

Adversarial ML Testing

Test your machine learning models against adversarial examples designed to cause misclassification or evasion.

What We Test:

  • Evasion attacks (bypassing model detection)
  • Poisoning attacks (corrupting training data)
  • Model inversion (recovering training data)
  • Membership inference (determining if data was in training set)
  • Backdoor attacks (hidden triggers in models)

Why iBeh.ai Excels:

Our team includes machine learning security researchers who have published cutting-edge research on adversarial ML. We've tested models for Fortune 500 companies, identifying vulnerabilities that could have led to fraud, misclassification, and data leakage. We provide not just findings, but recommendations for making your models more robust against attacks.

Test Your ML Models

Prompt Injection Testing

Test your LLM-powered applications against prompt injection attacks that could bypass safety filters or extract sensitive information.

What We Test:

  • Direct prompt injection (overriding system prompts)
  • Indirect prompt injection (via retrieved content)
  • Jailbreak attempts (bypassing safety filters)
  • Prompt leaking (extracting system prompts)
  • Token smuggling (obfuscated malicious instructions)
  • Multi-turn attacks (building context over multiple exchanges)

Why iBeh.ai Excels:

Prompt injection is one of the most critical vulnerabilities in LLM applications. Our team has developed proprietary testing methodologies that uncover subtle injection vectors that automated tools miss. We've helped companies secure their customer support chatbots, code assistants, and content generation tools against real-world prompt injection attacks.

Test for Prompt Injection

Data Poisoning

Assess your training pipeline's vulnerability to data poisoning attacks that could compromise model behavior.

What We Test:

  • Training data integrity assessment
  • Backdoor insertion vulnerabilities
  • Label flipping attacks
  • Data source verification
  • Supply chain security for training data

Why iBeh.ai Excels:

Data poisoning can have devastating effects on model performance and safety. Our team has developed techniques for identifying poisoned training data and assessing your pipeline's resilience to poisoning attacks. We help you implement controls to ensure the integrity of your training data, from collection through model deployment.

Assess Data Poisoning Risk

Model Extraction

Test whether attackers can steal your proprietary model through API access or other means.

What We Test:

  • API-based model extraction attacks
  • Side-channel information leakage
  • Model inversion attacks
  • Intellectual property protection
  • Rate limiting and query monitoring

Why iBeh.ai Excels:

Your trained models are valuable intellectual property. Our team has demonstrated model extraction attacks against commercial APIs, showing how attackers can replicate model functionality with limited queries. We help you implement protections that make extraction economically unfeasible while maintaining legitimate API access.

Protect Your Models

LLM Security

Specialized security assessments for Large Language Model applications and infrastructure.

LLM Penetration Testing

Comprehensive security assessment for applications built on Large Language Models.

  • End-to-end application security testing
  • RAG (Retrieval Augmented Generation) security
  • Vector database security assessment
  • LLM integration security
  • Output validation and sanitization

Why iBeh.ai: We've tested LLM applications for healthcare, finance, and enterprise customers, identifying vulnerabilities unique to generative AI systems. Our methodology covers the entire LLM stack, from prompt handling to response validation.

Jailbreak Testing

Test your LLM's safety filters against sophisticated jailbreak attempts.

  • Known jailbreak technique testing
  • Novel jailbreak discovery
  • Multi-turn jailbreak attempts
  • Encoded and obfuscated inputs
  • Role-playing and scenario-based attacks

Why iBeh.ai: Our jailbreak testing has uncovered bypasses in leading commercial and open-source LLMs. We provide a comprehensive assessment of your model's safety filters and recommendations for hardening against real-world jailbreak attempts.

Training Data Leakage

Assess whether your LLM is leaking sensitive training data in its responses.

  • PII extraction testing
  • Training data extraction attempts
  • Memorization assessment
  • Prompt-based extraction techniques
  • Differential privacy assessment

Why iBeh.ai: We've developed techniques for identifying when LLMs have memorized and can reproduce sensitive training data. We help you understand your exposure and implement mitigations to prevent accidental data leakage.

AI Governance & Compliance

Ensure your AI systems comply with emerging regulations and industry standards.

EU AI Act Compliance

Prepare for the world's first comprehensive AI regulation. We help you understand and comply with the EU AI Act's risk-based requirements.

  • Risk classification assessment
  • Documentation and transparency requirements
  • Conformity assessment procedures
  • Post-market monitoring systems
  • Governance framework implementation

Why iBeh.ai: Our team includes AI governance experts who have been tracking EU AI Act developments since inception. We provide practical guidance for compliance that doesn't stifle innovation.

NIST AI Risk Management Framework

Align your AI risk management with the NIST AI RMF, the leading voluntary framework for trustworthy AI.

  • Framework implementation assessment
  • Govern, map, measure, manage processes
  • Trustworthy AI characteristics evaluation
  • Risk management integration
  • Continuous improvement planning

Why iBeh.ai: We contributed to early drafts of NIST AI guidance and have implemented the framework for organizations across multiple industries. We help you build a practical AI risk management program.

ISO 42001 AI Management System

Achieve certification for the first international standard on AI management systems.

  • Gap analysis against ISO 42001 requirements
  • AI management system implementation
  • Policy and procedure development
  • Internal audit support
  • Certification readiness assessment

Why iBeh.ai: We're among the first consultancies to develop ISO 42001 expertise. We take a pragmatic approach that integrates with your existing ISO management systems.

AI Bias & Fairness

Identify and mitigate bias in your AI systems to ensure fair outcomes across all demographic groups.

  • Bias detection and measurement
  • Fairness metric selection
  • Algorithmic impact assessments
  • Mitigation strategy development
  • Ongoing monitoring frameworks

Why iBeh.ai: Our bias assessment methodology combines technical analysis with domain expertise. We help you understand not just whether bias exists, but why, and how to address it effectively.

AI Infrastructure Security

Secure the underlying infrastructure that powers your AI systems.

AI Cloud Security

Secure your AI workloads running in the cloud, including training clusters and inference endpoints.

  • GPU instance security
  • Training data storage security
  • Model registry protection
  • Inference API security
  • Multi-tenant isolation for AI workloads

MLOps Security

Secure your machine learning operations pipeline from development through deployment.

  • CI/CD pipeline security for ML
  • Model versioning and artifact security
  • Experiment tracking security
  • Model deployment and serving security
  • Access controls for ML platforms

Vector Database Security

Secure vector databases used for semantic search and RAG applications.

  • Access control and authentication
  • Data encryption at rest and in transit
  • Injection attack prevention
  • Backup and recovery security
  • Audit logging and monitoring

Generative AI Security

Specialized security services for generative AI applications, from text to images to audio.

GenAI Security Assessment

Comprehensive security assessment for generative AI applications across modalities.

  • Text-to-image model security
  • Audio generation security
  • Video generation security
  • Multi-modal model testing
  • Content safety evaluation

Deepfake Detection

Protect your organization against deepfake attacks and verify media authenticity.

  • Deepfake vulnerability assessment
  • Detection tool implementation
  • Media provenance verification
  • Executive protection programs
  • Incident response for deepfake attacks

Why iBeh.ai for AI Security

AI Security Specialists

Our team includes researchers who have published cutting-edge work on AI vulnerabilities.

Research-Backed Methodology

We stay at the forefront of AI security research, bringing the latest findings to our clients.

Cross-Industry Experience

We've secured AI systems in healthcare, finance, enterprise, and consumer applications.

Governance Expertise

Deep understanding of AI regulations and frameworks to keep you compliant.

Ready to Secure Your AI Systems?

Book a discovery call with our AI security experts to discuss your specific needs.

Schedule AI Security Consultation

Contact Our AI Security Team

Get in touch with our AI security experts to discuss your needs.

Request AI Security Assessment


AI Security Team

Our AI security experts are ready to help you secure your AI systems.

AI Security Inquiries

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