Sold by: Check Point Software Technologies
AI Security Red Teaming by Check Point Services delivers expert AI security assessments to identify vulnerabilities in generative AI applications, LLMs, AI agents, and machine learning systems. Discover prompt injection, jailbreak, model abuse, data leakage, and adversarial AI risks before attackers do.
Overview
AI Security Red Teaming by Check Point Services provides specialized offensive security testing designed to evaluate the resilience of AI-powered applications, Large Language Models (LLMs), AI agents, copilots, and machine learning environments against real-world attacks.
As organizations accelerate AI adoption, security risks such as prompt injection, jailbreak attacks, indirect prompt manipulation, sensitive data exposure, model abuse, unauthorized actions, and agentic AI vulnerabilities present new challenges that traditional security assessments may not uncover. AI Security Red Teaming simulates advanced adversarial attacks to identify weaknesses across AI models, applications, integrations, APIs, plugins, data sources, and operational workflows.
Security experts assess AI systems against emerging threat scenarios and industry-recognized attack techniques to validate security controls, measure exposure, and prioritize remediation efforts. The engagement delivers actionable findings, risk analysis, and recommendations to strengthen AI governance, reduce attack surface, and improve the overall security posture of AI initiatives.
Key outcomes include:
Identification of AI-specific vulnerabilities and attack paths.
Validation of security controls protecting LLM and AI environments.
Reduced risk of data leakage, privilege abuse, and unauthorized actions.
Improved compliance, governance, and AI risk management
Actionable remediation guidance aligned to business priorities
Ideal for organizations deploying generative AI, AI assistants, AI agents, retrieval-augmented generation (RAG) solutions, internal copilots, customer-facing AI applications, and enterprise machine learning platforms.
Highlights
- Identify AI-Specific Security Risks: Expert AI red teaming uncovers vulnerabilities such as prompt injection, model manipulation, data leakage, jailbreaks, and agentic AI attack paths before they can be exploited.
- Validate AI Security Posture End-to-End: Comprehensive testing evaluates AI models, agents, applications, APIs, and supporting infrastructure to measure resilience against real-world adversarial attacks.
- Receive Actionable Remediation Guidance: Detailed findings and prioritized recommendations help strengthen AI governance, reduce risk exposure, improve compliance, and accelerate secure AI adoption.
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