Enhancing LLM Security with Automated Red Teaming

Protect your GenAI models & applications from risks and attacks with an AI-Driven Security & Compliance Platform. CortexShield is an AI-powered security auditing system designed to test, detect, and mitigate risks in AI models through automated Red Teaming simulations. By applying adversarial attack scenarios, compliance audits, and continuous monitoring, it ensures that AI systems remain secure, compliant, and resilient against evolving threats.

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Experience

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Proactive Security for Large Language Models

Cortex Shield enables comprehensive security evaluations of LLM applications, identifying and mitigating risks through rigorous adversarial testing. It’s robust framework simulates real-world threats, including prompt injections, model poisoning, and other AI-specific attack vectors.

Logs and collects chatbot conversations in real time for analysis, allowing organizations to track user interactions and improve response quality.

Evaluates chatbot responses for potential security vulnerabilities, compliance violations, or breaches of organizational policies and industry regulations.

Measures the chatbot’s ability to generate contextually appropriate and factually correct responses, reducing misinformation and enhancing user trust.

Identifies and flags inappropriate, harmful, or misleading content to prevent the chatbot from generating responses that could damage reputations or violate policies.

Simulates attacks such as prompt injections, jailbreak attempts, and manipulation tactics to test the chatbot’s resilience against exploitation and unauthorized modifications.

Using automated penetration testing and compliance validation, it evaluates model robustness, response consistency, and security risks in real-time. The system continuously monitors AI integrity and detects bias, hallucinations, and unauthorized data exposure, ensuring resilience against evolving threats. With AI-powered threat simulations, Cortex Shield replicates real-world attack tactics, including evasion techniques, data manipulation, and jailbreak attempts. Its risk classification engine analyzes threat severity, flags compliance violations, and recommends mitigation strategies aligned with ISO 27001, GDPR, NIST, and SOC 2 standards.

How CortexShield Strengthens AI Security

As AI systems become more integrated into business operations, ensuring their security is critical. CortexShield provides a robust security framework that protects AI models from adversarial threats, compliance risks, and vulnerabilities that could compromise data integrity.

AI Security Audit & Risk Assessment

CortexShield automatically evaluates AI security by analyzing policies, data access permissions, and threat models. It identifies vulnerabilities in model governance and ensures resilience against potential breaches.

Advanced AI Red Teaming Simulations

The platform simulates adversarial attacks, prompt injections, model poisoning, and jailbreak attempts, uncovering bias, hallucinations, and manipulation risks before they impact real-world deployments.

Compliance Enforcement & Risk Monitoring

CortexShield continuously audits AI systems against global security frameworks such as ISO 27001, GDPR, NIST, and SOC 2, flagging non-compliance issues like unauthorized data exposure or regulatory misalignment.

Secure Reporting & Automated Remediation

Generates detailed security reports with risk categorizations and recommended mitigation steps while ensuring sensitive findings remain protected through automatic redaction.