Red Teaming Services

Simulating real-world attacks to identify vulnerabilities and enhance your organization’s cybersecurity posture.

Featured Clients

Empowering teams to build world-leading AI products.

Why Red Teaming is Crucial for LLMs and Generative AI Models Security

Traditional security fails against evolving cyber threats. Red teaming methods actively detect system weak points to help organizations maintain accidental cyber threats. Our expert solutions ensure robust threat preparedness and security resilience for our clients. Key reasons why red teaming is crucial:

Adversary Emulation

Security defenses undergo simulation of genuine attacker techniques to detect their vulnerabilities.

Threat Modeling

A proactive analysis of attack routes minimizes existing cybersecurity threats.

Security Operations Testing

The validity testing of SIEM, SOC, and EDR systems assesses their capability to counteract advanced persistent threats.

Incident Response Readiness

Security professionals must examine their ability to detect threats. Teams need to contain and minimize damage during real-world attack situations.

Security Architecture Review

Organizations must detect weaknesses in network constraints, Identity and Access Management systems, and zero-trust program structure.

Advanced Compliance Stress Testing

Organizations need confirmation that their systems maintain compliance with NIST, ISO 27001, HIPAA, and PCI-DSS security standards.

Red Teaming Services for Large Language Models and AI Vulnerability Mitigation

At Shaip, we deliver customized red teaming services focused on large language model security and AI vulnerability assessment, helping organizations secure and optimize their Generative AI systems.

Prompt Injection & Jailbreaking

We test AI models for vulnerabilities to adversarial prompts that manipulate outputs, bypass ethical safeguards, extract sensitive data, and generate policy-violating responses, ensuring secure AI deployment.

Bias & Misinformation Mitigation

Our experts perform AI model evaluations, assessing biases while checking for misinformation risks, as part of responsible AI compliance to prevent reputational harm and regulatory consequences.

AI Model Evasion Techniques

Our team tests AI-driven security systems against advanced evasion tactics, such as adversarial perturbations and obfuscation, to ensure that models can detect and mitigate deceptive attacks.

Hallucination & Response Consistency Testing

We assess AI-generated outputs for factual accuracy, coherence, and consistency, identifying hallucinations that could lead to misinformation or unreliable responses in mission-critical applications.

API & System-Level Exploitation

Shaip examines AI model APIs for security loopholes, insecure endpoints, and improper access controls, ensuring robust protection against unauthorized use, data leaks, and exploitation risks.

AI Governance & Compliance Validation

We validate AI models against regulatory frameworks like GDPR, NIST AI RMF, and ISO/IEC 42001, ensuring compliance, transparency, and ethical AI deployment within enterprise environments.

Benefits of LLM Red Teaming Services @ Shaip

Engaging Shaip’s LLM red teaming services offers numerous advantages. Let’s explore them:

Prevention of Adversarial AI Attacks

Our red teaming methodologies actively identify vulnerabilities within AI systems, which allows preventative countermeasures to foil adversarial attacks, including model inversion poison attacks and evasion.

Advanced LLM Security Validation

We rigorously test large language models (LLMs) for vulnerabilities such as prompt injection, jailbreak exploits, and output manipulation, ensuring AI-driven applications remain secure and reliable.

Robust Defense Against Data Poisoning

By analyzing AI training datasets, we identify and mitigate risks of backdoor attacks, label flipping, and gradient hijacking, safeguarding model integrity and performance.

Enhanced AI Trustworthiness & Ethical Compliance

Our assessments help organizations detect biases, misinformation propagation, and hallucination risks, ensuring AI-generated outputs align with ethical AI principles and regulatory standards like NIST AI RMF.

Resilience Against Automated API Exploits

We evaluate AI system APIs for security loopholes, unauthorized access risks, and insecure model deployment, preventing attackers from exploiting weak access control mechanisms.

Strengthened AI Incident Response Capabilities

Through red teaming, you can evaluate the responsiveness of your AI security protocols as they test your capacity to recognize, control, and remedy AI security incidents in real time.

Compliance with AI-Specific Regulations

Our services adhere to evolving AI security frameworks, including GDPR, ISO/IEC 42001, and sector-specific AI governance policies, to support regulatory compliance and risk management.

Continuous AI Security Optimization

Continuous AI red teaming exercises help organizations sustain security enhancements to improve the detection and mitigation of AI-specific threats that appear as new adversarial environments develop.

At Shaip, our excellence-focused approach guarantees that our red teaming assessments uncover security holes and deliver concrete solutions to enhance your organization’s protection systems.

Creating clinical NLP is a critical task that requires tremendous domain expertise to solve. I can clearly see that you are several years ahead of Google in this area. I want to work with you and scale you.

Google, Inc. Director

Over the past 6 months, we've closely collaborated with Shaip on our company's labeling needs. During this time, we met a skilled team that consistently met high standards and deadlines. They handled diverse labeling tasks expertly, adapting to changing requirements. We highly recommend Shaip's work and are pleased with the results.

Project Manager

Contact Shaip now to schedule a comprehensive red teaming assessment.