Topic: contextual intelligence
-
AI Model Customization: A New Architectural Imperative
The strategic approach to AI is shifting from isolated, fragile pilots to treating model customization as core, production-ready infrastructure, requiring reproducible and version-controlled workflows. To maintain strategic control and reduce dependency, enterprises must prioritize owning their t...
Read More » -
Veeam Agent Commander: Unified AI Risk Detection & Recovery
Veeam has launched **Agent Commander**, a unified platform to proactively detect AI threats, protect systems, and precisely reverse AI-driven mistakes, enabling secure enterprise AI scaling. The platform merges data resilience and security by integrating Veeam's expertise with Securiti AI, offeri...
Read More » -
CyCognito expands AI pentesting beyond scans as attack surfaces grow
CyCognito is expanding its exposure management platform with continuous AI pentesting to uncover complex, contextual risks, such as misconfigured AI services and interconnected systems, that traditional CVE-based scanning misses. The platform uses AI agents to simulate multi-step attack chains, e...
Read More » -
Arkime: Open-Source Network Analysis & Packet Capture Tool
Arkime is an open-source platform for large-scale packet capture and deep network inspection, integrating with security systems and storing data in PCAP format for searchable forensic analysis. It features a user-friendly web interface and APIs for data export, and works with tools like Wireshark...
Read More »