SIRI Law LLP - Artificial Intelligence / LLM Penetration Testing

AI & LLM Security Testing Services

Secure your AI with our AI/LLM Pen Testing. We find vulnerabilities in your AI models and large language systems, protecting your innovations and data.

AI/LLM Security Testing at SIRI Law LLP – Cybersecurity & Compliance Division

Artificial Intelligence and Large Language Models (LLMs) are transforming industries — powering automation, decision-making, analytics, chatbots, autonomous systems, and enterprise workflows.
But AI introduces new and often invisible security vulnerabilities, including:

Prompt injection
Training data poisoning
Sensitive data leakage
Hallucination-based fraud
Model extraction (theft)
Adversarial perturbations
Unauthorized fine-tuning
Unsafe outputs that violate compliance or regulation

At SIRI Law LLP, we provide specialized AI & LLM Security Testing that blends:

Advanced offensive AI security techniques
Rigorous prompt and model evaluation
Regulatory compliance (DPDPA, GDPR, AI Act-ready)
Legal governance & risk alignment

Our assessment ensures your AI systems are secure, compliant, reliable, and protected from adversarial exploitation.

We test the model, data pipelines, APIs, cloud infrastructure, user interactions, and integration points across your AI ecosystem — ensuring end-to-end resilience.

Our AI & LLM Security Testing Methodology

Define scope and AI components: Identify LLMs, APIs, data pipelines, and integrations subject to testing across training and inference layers.
Enumerate attack surfaces and inputs: Map user inputs, plugins, prompts, and APIs used to interface with the AI system or model.
Evaluate prompt injection and manipulation: Test for jailbreaks, prompt leaking, role confusion, and output manipulation through crafted input payloads.
Test model output filtering and alignment: Validate whether safety controls prevent toxic, biased, or harmful outputs in adversarial input conditions.
Assess training data exposure risks: Probe for unintended memorization, sensitive data leakage, and training data inversion through generative outputs.

Probe for plugin and API abuse: Simulate malicious use or chaining of third-party plugins, APIs, or external functions for unauthorized access.
Inspect authentication and session control: Evaluate token handling, session isolation, and misuse of identity in AI-integrated user workflows.
Analyze model behavior under adversarial input: Submit edge-case or malicious inputs to test robustness, hallucination frequency, and error handling logic.
Review logging, telemetry, and observability: Check for secure handling of logs, prompt records, and telemetry to avoid unintended data disclosures.
Report findings and provide recommendations: Deliver actionable findings, impact analysis, and tailored mitigation strategies aligned with AI risk frameworks.

Model Vulnerability Assessment

Data Security and Privacy

API and Integration Security

Deployment and Environment Security

Our Testing Process

Our established methodology delivers comprehensive testing and actionable recommendations.

Analyze

the AI pipeline

Threat Model

AI/LLM-specific vulnerabilities

Passive/Active Testing

for jailbreaks, adversarial manipulation & data exposure

Business Logic Analysis

on how AI impacts workflows

Reporting

with risks, PoCs, guardrail fixes & governance

Why Choose SIRI Law LLP for AI/LLM Security Testing?

Specialized expertise in LLM security: We understand the nuances of AI-specific threats like prompt injection and data leakage.
Full-stack AI attack simulations: Tests span prompts, plugins, APIs, models, and user interactions not just model-level probing.
Alignment with emerging AI standards: Our methodology reflects NIST AI RMF, OWASP LLM Top 10, and industry risk principles.
Red-teaming inspired approach: Simulate realistic adversarial behavior, including social engineering and chained plugin attacks.
Data exposure and memorization testing: Identify if your LLM leaks sensitive or proprietary training data during outputs

Secure integration verification: Assess how your LLM interacts with plugins, APIs, and user sessions across the application.
Privacy, ethics, and alignment checks: Evaluate compliance with organizational safety, privacy, and model behavior policies.
Actionable, technical remediation guidance: Fix vulnerabilities with step-by-step help tailored to your AI stack and usage.
Post-mitigation retesting and validation: We ensure your fixes are effective and risks are fully addressed post-remediation.
Trusted by AI innovators and enterprises: Proven success with startups, research labs, and AI-integrated business platforms.

Five areas of AI & LLM Penetration Testing

Internet of Things (IoT)

Our IoT Penetration Testing service focuses on identifying vulnerabilities in Internet of Things (IoT) devices and their associated networks. As the proliferation of IoT devices continues to reshape industries, ensuring their security is paramount. Our team employs a comprehensive approach that includes assessing device firmware, communication protocols, and network configurations. By simulating real-world attack scenarios, we uncover potential weaknesses that could be exploited by malicious actors. Following the assessment, we provide detailed reports with actionable insights and recommendations tailored to your specific IoT environment, empowering you to fortify your security measures and safeguard your assets against evolving threats.

Cloud Security / Penetration Testing

Cloud security is a vital discipline focused on safeguarding data, applications, and infrastructure within cloud environments. It encompasses a broad range of practices and technologies designed to protect cloud-based systems from internal and external threats. This includes securing data storage, managing access controls, monitoring for unauthorized activities, and ensuring compliance with industry standards. Cloud security assessments involve evaluating the configuration of cloud services, identifying misconfigurations, and testing identity and access management (IAM) policies to detect potential weaknesses. By implementing robust cloud security measures, organizations can maintain the confidentiality, integrity, and availability of their cloud assets, ensuring secure and resilient operations across public, private, and hybrid cloud infrastructures.

Application Penetration Testing

Our Application Penetration Testing service offers a comprehensive security evaluation across a wide spectrum of application types, including AI/LLM systems, web applications, mobile applications, thick clients, cloud applications, and firmware. We employ a blend of automated tools and manual techniques to identify vulnerabilities specific to each application type, ensuring that potential weaknesses are thoroughly assessed. Our expert team analyzes everything from API security in cloud applications to data handling in AI models, delivering detailed insights that help organizations fortify their defenses. With a focus on real-world attack scenarios, we provide actionable remediation strategies tailored to each application, empowering businesses to enhance their security posture and protect sensitive data against evolving threats.

DevOps Security Testing

Our DevOps Security Testing service integrates security practices into the DevOps pipeline, ensuring that security is a fundamental component throughout the software development lifecycle. We emphasize the importance of proactive security measures, conducting assessments at various stages, from code development to deployment. Our approach includes automated scanning for vulnerabilities, manual code reviews, and configuration assessments to identify potential security risks early in the process. By collaborating closely with development and operations teams, we help foster a culture of security awareness and compliance. The insights gained from our testing enable organizations to address vulnerabilities swiftly and effectively, ultimately enhancing the security of applications and infrastructure while maintaining the agility and efficiency that DevOps offers.

Firmware Security

Firmware forms the foundation of hardware functionality and is increasingly targeted by attackers. Our Firmware Security Testing service focuses on identifying vulnerabilities such as insecure boot processes, hardcoded credentials, and unprotected firmware updates. We analyze firmware binaries, configuration files, and underlying code to detect and address risks. To support your engineering team, we provide actionable remediation insights and secure coding recommendations, ensuring your firmware is resilient against both known and emerging threats. With our assistance, you can safeguard your devices and maintain trust in your hardware solutions.