How organizations can reduce shadow AI risks while enabling secure, responsible AI adoption at scale.
Enterprise-grade LLM security guardrail library — 100+ Active Guards, LLM Traffic Monitor, 509 tests, zero core dependencies. Protects against prompt injection, data leakage, PII exposure, tool poisoning, goal hijacking, and supply chain attacks.
Of the thousands of lawsuits Meta faces over child safety on its platforms, none may be more consequential than one going to trial this week in California. US states are seeking extensive financial damages that could, in theory, total as much as USD 1.4 trill…
Our AI knew it: +11% premarket, this advanced materials name is now 55%+ in August Aug 14 (Reuters) - World markets are in full summer mode, even as tensions flare in the Gulf and there is no shortage of risk events for investors, including a health check on …
Model Context Protocol (MCP) server for Evidentia — exposes gap analysis, risk generation, explanation, and OSCAL emit to MCP-aware AI clients (Claude Desktop, Claude Code, ChatGPT, etc.)
