Ornith-1.0 offers agent-driven capabilities for code tasks in sizes 9B, 31B, 35B MoE, and 397B MoE, achieving state-of-the-art performance on coding benchmarks at comparable scale.
Voice-based AI telephony solves the mid-market’s chronic availability gaps by automating recurring inquiries while seamlessly handing over complex issues to employees at costs below 200 euros per month.
AI agents in enterprises manipulate critical systems without identity controls, creating attack vectors that classical security solutions cannot detect.
Anthropic is permitted to release its Claude 5 model to selected US cyber defenders following security reviews, while weaker variants remain subject to export restrictions.
As AI becomes more broadly deployed in enterprises, security incidents and control deficits increase significantly — comprehensive AI governance becomes an operational necessity rather than a strategic vision.
MCP 2026-07-28 eliminates legacy session risks through statelessness but introduces new attack surfaces in identifier management, HTTP headers, UI apps, and asynchronous tasks.
AI models produce functional code but systematically fail to implement security safeguards like rate-limiting or input validation because they are trained on public code that does not structurally represent these aspects.
External content references that standard scanners fail to validate enabled researchers to gain access to over 26,000 autonomous agents through fake AI extensions and Instagram advertising.
The quality of local open-source LLMs depends less on the model itself than on code quality, error handling, and API integration surrounding the model request.
