Trent AI benchmarks skill scanners on dangerous skills detection
Their agent caught 94.6% of dangerous skills, far outperforming other scanners.
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Agentic AI security platform
trent.aiLast updated
In short: Trent AI raised $13M in seed funding and launched an AI Security Maturity Model to address vulnerabilities in agentic AI and platforms like OpenClaw.
Their agent caught 94.6% of dangerous skills, far outperforming other scanners.
The analysis reveals 48 CVEs, 86% of skills vulnerable, and a 9.9 severity flaw. Hardening is possible.
The ASMM assesses and improves enterprise security for AI-driven agentic development lifecycles, based on NIST frameworks. It evaluates six domains to create maturity roadmaps.
CPO Christoph Bartenstein introduces architectural security review inside the editor via MCP. Early access waitlist opens.
Trent AI Announces AI Security Maturity Model for Agentic Era Model’s assessment is first to offer guidance to organizations seeking to secure their AI-driven agentic...
Tata Group stock Trent Ltd has been on a roll in April as the retail chain major has gained more than 30 per cent the...
April 22 (Reuters) - India's Trent (TREN.NS), opens new tab posted a quarterly profit jump of 26% on Wednesday, as demand ticked up following last...
Trent AI announces $13M seed round and the first multi-agent security solution designed to secure agents as they evolve.
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