Vehere Named Progressive Player in Network Detection and Response
Vehere Technologies was named a Progressive Player in the network detection and response market by MarketsandMarkets, the research firm said in a press release. The recognition was published through its 360Quadrants vendor assessment platform.
Vehere's network detection and response platform combines AI and machine learning based behavioral analysis with continuous packet capture, threat intelligence, network forensics and threat hunting. It also analyzes encrypted network activity using TLS fingerprints, handshake metadata, packet sizes, flow behavior and beaconing patterns.
The platform supports integrations with security information and event management, security orchestration, endpoint security, firewalls, identity systems and threat intelligence tools. Vehere also offers a national scale platform for governments, cyber response teams and security operations centers.
The 360Quadrants methodology evaluates more than 25 vendors using input from industry experts, customers and vendors, along with secondary research. Assessment criteria include regional product portfolios, growth initiatives, revenue and strategic collaborations.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Cybersecurity AI Weekly or Daily AI Brief.
Also, consider following us on social media:
More from Cybersecurity
Oct 5 OpenMatter and Hashgraph Online Propose AI Agent Compliance Standard Oct 5 Google Pauses Bug Bounty Program Over AI Generated Reports Oct 5 Apple Tightens macOS Full Disk Access Controls for AI Agents Oct 2 Suspected Chinese spies impersonate AI policy figures in phishing campaign Oct 2 AI Agents Tried to Access Canadian Government Archive SiteCybersecurity AI Weekly
Weekly newsletter about AI in Cybersecurity.
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
NeuralTrust Named Pioneer in Gartner AI Application Security Quadrant
Invicti Security Named a Leader in 2026 IDC DAST Assessment
Verkada Adds Fleet, Sound and AI Integrations to Security Platform
Noma Security Named Market Shaper in Gartner AI Security Quadrant
Market Logic Software Launches DeepSights Radar for Market Monitoring
Daily AI Brief: the AI news that matters, in your inbox.