Automated red teaming to secure your AI applications
The fastest, most effective way to rigorously red team your AI apps.
The fastest, most effective way to rigorously red team your AI apps.
As organizations integrate LLMs into AI-driven applications, new risks emerge that threaten operational integrity and compliance.
Prompt Injection Attacks: Malicious actors manipulate LLMs into bypassing safety mechanisms.
Model Misuse: Jailbreaking LLMs enables inappropriate or harmful outputs.
Sensitive Data Exposure: Mishandled inputs lead to leakage of private or confidential information.
AISpectra leverages advanced testing frameworks to assess and fortify LLMs.
Employs static and dynamic queries, including human-crafted prompts, to uncover vulnerabilities.
Uses an extensive library of over 50,000 attack scenarios for comprehensive coverage.
Assigns a threat posture score, categorizing vulnerabilities by severity and providing actionable recommendations.
Ties vulnerabilities to frameworks like MITRE ATLAS, OWASP Top 10 for LLMs, and the EU AI Act.
Supports seamless cloud integration across platforms like AWS, Azure, and GCP.
AISpectra leverages advanced testing frameworks to assess and fortify LLMs.
Employs static and dynamic queries, including human-crafted prompts, to uncover vulnerabilities.
Uses an extensive library of over 50,000 attack scenarios for comprehensive coverage.
Assigns a threat posture score, categorizing vulnerabilities by severity and providing actionable recommendations.
Ties vulnerabilities to frameworks like MITRE ATLAS, OWASP Top 10 for LLMs, and the EU AI Act.
Supports seamless cloud integration across platforms like AWS, Azure, and GCP.
Covers adversarial and non-adversarial scenarios, from prompt injections to data leakage.
Real-time risk scoring and vulnerability breakdowns tailored to your operational needs.
Real-time risk scoring and vulnerability breakdowns tailored to your operational needs.
Deploys effortlessly across major cloud platforms with multi-model compatibility.
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Optimize costs with pay-per-model assessment.
Quick and scalable with automatic updates.
Deploy on your private cloud or on-premises.
Tailored pricing for large-scale deployments.