We’re excited to share that Tumeryk has been featured on Dark Reading, one of cybersecurity’s most respected editorial platforms.
In the piece titled “AI Trust Score Ranks LLM Security,” Dark Reading explores how Tumeryk’s AI Trust Score™ is helping enterprises assess and secure GenAI deployments by introducing a measurable, standardized way to evaluate large language model (LLM) risk.
As enterprises rapidly adopt GenAI to power virtual agents, copilots, and autonomous workflows, the hidden risks — hallucinations, prompt injections, jailbreaks, and insecure model outputs — are becoming more serious, and harder to detect.
Tumeryk’s AI Trust Score™, part of our LLM Security Studio, addresses this head-on by offering a quantifiable view of GenAI model behavior, security posture, and policy compliance — in real time.
What Dark Reading Covered:
- Tumeryk’s AI Trust Score™ ranked popular LLMs, including Gemini Pro 2.5, GPT-4o Mini, Claude 4, and DeepSeek R1.
- Gemini Pro 2.5 received the highest trust score (899), while Claude 4 saw a notable drop from its previous version.
- The LLM Security Studio includes a vulnerability scanner, policy simulator, firewall, and role-based controls — functioning as “middleware” for GenAI deployments.
- Tumeryk integrates with NVIDIA NeMo Guardrails, Meta’s Llama Guard, Wiz, Datadog, and Splunk, and recently partnered with DataKrypto for encrypted model protection.
“There’s a lot of risk in AI systems today. That’s why we built the AI Trust Score — to help organizations understand and manage those risks before they go live.”
— Rohit Valia, Co-founder & CEO, Tumeryk
