AI Trust Score™ Guardrails: Your Frontline Defense
The Gen AI Guard addresses the glaring need for context-aware conversational security.
Why Tumeryk AI Guard
Tumeryk AI Trust Score™ Guardrails provide real-time protection for GenAI agents by enforcing context-aware policies across bias, jailbreaks, content risks, and more. Integrated with AI-SPM tools like Wiz, these guardrails discover Shadow AI, enforce secure dialog rails, and ensure compliance with OWASP, EU AI Act, and NIST RMF.
Flexible Control and Dialog Flow
Tumeryk AI Trust Score™ Guardrails enable topic and content moderation with contextual understanding, not just keyword flags. Policies adjust dynamically using user feedback and real-time signals, keeping interactions safe and compliant even at scale.
Faster Time to Market with AI
Use Tumeryk’s visual policy builder to deploy LLM guardrails faster — drag-and-drop mapping of AI agents, policies, and LLMs. Comes with built-in controls for RAG settings, hallucination threshold, I/O filters, and pre-built templates for OWASP, NIST and EU AI Act.
Saving Valueable Resources
Role-based access controls (RBAC) ensure only authorized users or apps can access GenAI capabilities. This prevents token abuse, unintended use, and cuts wasteful public LLM spend by up to 30%, improving cost efficiency.
Privacy Protection Filtering
Tumeryk scans and filters sensitive data in real time, enforcing output rails to prevent leaks, PII exposure, or compliance violations. Secure your GenAI apps with policy-enforced privacy.
Prevent Jailbreaks
Tumeryk prevents jailbreaks, adversarial prompts, and unauthorized injections with multi-layered defense. Integrated with tools like Wiz, it also discovers Shadow AI assets and applies Trust Scores with real-time enforcement.
Protect against the OWASP Top 10 LLM Risks
Generative AI, often driven by advanced deep learning models like GPT, has shown remarkable prowess in producing human-like text, images, and audio. However, these models face several risks and vulnerabilities, including:
- Misinformation: AI-generated content can be mistaken for genuine information, leading to misinformation and user confusion.
- Bias and Discrimination: If trained on biased data, AI models can perpetuate and exacerbate social biases, resulting in discriminatory outcomes.
- Privacy Concerns: AI models might unintentionally memorize and reproduce sensitive information from their training data, raising privacy issues.
- Security Risks: Malicious actors could exploit generative AI to craft sophisticated phishing attacks or create deceptive fake content.
- Legal Implications: Unauthorized use of copyrighted material or the creation of harmful content can result in legal challenges.
Gen AI Leaders Trust Tumeryk
Business leaders agree Gen AI needs conversational security tools.
AI Circle of Trust
Tumeryk’s AI Circle of Trust delivers monthly updates for those shaping safe, scalable, and responsible AI, including product drops, risk management, and lessons from the front lines.
