Ensuring Secure, Reliable, and
Compliant LLM Deployments
LLM Real-time Monitoring and Remediation
Proactively Identifying AI Vulnerabilities & Strengthening Defenses
As enterprises increasingly deploy Large Language Models (LLMs) in critical workflows, the need for continuous monitoring and proactive remediation is essential. LLMs are susceptible to prompt injections, data leakage, bias amplification, and adversarial manipulations, posing risks to security, compliance, and ethical AI usage.
Key Features & Benefits
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Real-Time Anomaly Detection – Continuously monitors LLM behavior for security threats and policy violations. - Prompt Injection & Data Leakage Prevention – Identifies and mitigates adversarial prompts and unintended data exposure.
- Automated Risk Remediation – Implements AI-driven policies to prevent harmful outputs and unauthorized model interactions.
- Zero-Trust AI Security – Ensures strict access control and safeguards against unauthorized manipulations.
- Regulatory & Compliance Assurance – Aligns with AI security and governance frameworks like GDPR, NIST AI RMF, and ISO standards.
Vendor
AIShield
AIShield secures AI/ML and Generative AI systems from development to deployment through automated red teaming, vulnerability assessments, and real-time runtime protection, ensuring enterprises can innovate with confidence, comply with global standards, and defend against evolving AI threats.
