Protect Your AI/ML and LLM Applications post Deployment in Real-Time with Industry-Leading Security.
The rapid growth of Machine Learning (ML) and Generative AI presents new challenges that require specialized solutions. After deploying AI models and LLM applications, the lack of an AI Firewall and real-time monitoring leaves your systems vulnerable to critical threats including prompt injection and data leakages. With ML and Generative AI introducing concerns like bias, cyberattacks, and privacy risks, these challenges demand a proactive and robust approach to security.
AIShield Guardian is designed to provide real-time security to live AI/ML and Generative AI applications. Whether you are deploying LLM-powered chatbots, algorithmic trading models, or AI-driven automation systems, Guardian offers comprehensive protection to mitigate risks and ensure secure, reliable operation.
With advanced guardrails, dynamic content filtering, and seamless integration into your existing infrastructure, Guardian empowers your organization to responsibly adopt AI and LLM technologies. It ensures compliance, protects sensitive data, and strengthens operational resilience, so you can innovate without compromising security.
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Guardian acts as a robust firewall, safeguarding your ML applications from adversarial threats, data poisoning, and model extraction attempts. With real-time intrusion detection, comprehensive telemetry, and seamless integration with leading SIEM tools, Guardian fortifies your ML ecosystem. It ensures operational resilience, compliance with industry standards, and the protection of critical AI investments.
Guardian provides enterprise-grade security for Generative AI (GenAI) applications and LLMs, proactively mitigating risks like prompt injection attacks, jailbreaks, and sensitive data exposure. Designed for seamless integration, Guardian enables real-time threat detection, compliance enforcement, and advanced content filtering. It dynamically safeguards AI inputs/outputs with customizable content controls, including bias detection and PII anonymization, ensuring secure, ethical, and scalable GenAI deployments.
AIShield Guardian ensures unmatched security for AI systems and GenAI applications during runtime.
• GenAI Guradrails: Protection against prompt injections, jailbreak attacks, invisible text detection, dynamic redaction of confidential data, and enforcement of compliance with over 75 configurable policies.
• End-Point Protection: Proactively generates threat-informed defenses and attack simulations to enhance ML model resilience against diverse adversarial techniques.
• Advanced Content Analysis and Filtering: Prevents code injection and broadcasting of sensitive business information, with custom content filtering, ensuring compliance with organizational content policies.
• Privacy and Bias Management: Meets privacy regulations and enhances data security with bias detection and language safety measures.
• ML Firewall for Intrusion Detection: Real-time detection, analysis, and automatic mitigation of threats such as adversarial attacks, data poisoning, and model theft, providing continuous security for ML deployments across cloud and edge environments.
• Compliance & Reporting: Pre-configured templates and customizable dashboards to meet regulatory and organizational compliance requirements for AI and LLM security, including OWASP Top 10 for ML and LLM risks, NIST standards, and MITRE ATLAS frameworks.
AIShield Guardian provides the ideal solution for organizations seeking robust, post-deployment security for their ML models and LLM applications:
Successfully mitigates prompt injection, jailbreak, and adversarial attacks for LLM applications while protecting ML models from input, model, and output vulnerabilities.
Flexible architecture supports cloud, hybrid, and on-premises deployments, compatible with SaaS, Bring Your Own Cloud (Docker, Kubernetes) for enterprise flexibility.
Integrates with existing cybersecurity tools, major cloud providers (AWS, GCP, Azure), private clouds, SIEM tools (Splunk, Sentinel), and DevSecOps pipelines.
Accelerates the adoption of secure ML models and GenAI applications while reducing critical vulnerabilities by up to 90%.
See how AIShield Guardian can safeguard your AI/ML models and LLM applications from real-time threats. Book a personalized demo and explore our powerful AI Firewall, real-time monitoring, and GenAI Gaurdrails—designed for secure, scalable AI/ML and LLM deployment.
AIShield Guardian delivers comprehensive security for your AI models and GenAI applications with industry-leading features:
Delivers robust protection for AI-driven workflows by integrating with leading orchestration frameworks like CrewAI, Phidata, and Microsoft Autogen.
Operates in two modes—Audit Mode (Out-of-Band) for monitoring without impacting traffic flow to the target LLM, and Block Mode (In-Sync) for real-time protection with traffic orchestration.
Safeguards data pipelines by validating input-output data integrity, preventing adversarial manipulations or malicious injections.
Ensures security across text and image-based inputs and outputs, offering 75+ configurable guardrails.
Automatic updates for SaaS deployments and monthly updates for self-hosted environments, with zero downtime upgrades and full disaster recovery support (configurable RTO and RPO).
Discover how AIShield Guardian can secure your Generative AI and Machine Learning applications while ensuring compliance and scalability.
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