Enhance your network safety with Trisul Network Security Monitoring!

Stay ahead of evolving threats with real-time insights & advanced threat detection.

🌐 Key Highlights:

Full L2-L7 traffic analysis
Flow records of conversations
Extensive security analytics

👉 Discover more: https://www.trisul.org/solutions/trisul-nsm/

#NetworkSecurity #ThreatDetection #NSM #CyberDefense #NetworkAnalytics #ITSecurity #NetworkMonitoring #networkengineers #itsecurity #trisul #networkmonitoring #cybersecurity

Trisul NSM - Packet based network visibility and detection solution

Trisul Network Security Monitoring analyzes raw network packets and gives you wide and deep traffic metrics along with other types of insights

Trisul Network Analytics

👩‍💻 We're advancing Swiss-AL with #NetworkAnalytics (NA) to pinpoint key communicators and map their influence in discourse.

💡 This will identify key figures and their roles, enhancing understanding of how information is shared in communication networks.

🚀NA could open doors to interdisciplinary analyses, merging the expertise of social scientists & data analysts. However, it also carries its challenges. Named Entity Recognition becomes crucial, as does the need to provide more metadata for NA.

Just Posted: The article discusses how Cisco's Secure Network Analytics (SNA) and Extended Detection and Response (XDR) solutions enable organizations to make faster decisions and respond to incidents more
https://gestaltit.com/tech-field-day/sulagna/fast-tracking-decision-making-and-incident-response-with-ciscos-secure-network-analytics-and-xdr/
#NetworkAnalytics #Observability #OODALoop #SecurityAnalytics #XDR
Fast-Tracking Decision Making and Incident Response with Cisco's Secure Network Analytics and XDR - Gestalt IT

In this Tech Field Day article from Cisco Live, Sulagna Saha Secure Network Analytics and Cisco XRD from their presentations.

Gestalt IT

Join Corelight, @cribl_io, and @elastic on Jan. 25 as they share how security teams can monitor network traffic and increase the effectiveness and efficiency of front-line analysts. Register for the live webcast today: https://events.elastic.co/from-noise-to-signal-elastic-cribl-corelight/corelight During the session, you'll learn how this joint solution enables security teams to:

1. Enrich data for more context and better analyst investigations

2. Route data to the best destinations based on business needs

3. Access high-fidelity alerting that provides uncompromising visibility and powerful analytics

4. Get top-tier correlation, alerting, and incident response that highlights

#SecurityAnalysts #SecurityOperations #SecOps #NetworkSecurity #NetworkForensics #NetworkAnalytics #NetworkMonitoring #NDR #DFIR #Cybersecurity #ThreatHunting #ThreatIntelligence #IncidentResponse #Cribl #Elastic

Are economic headwinds forcing you to do more with less? You’re not alone. Jon France CISSP from (ISC)² recently told VentureBeat that “despite the idea that cybersecurity may be a recession-proof industry, it’s likely that personnel and quality will take a hit during the economic downturn.” Get ahead of any potential cyber skill gaps by giving your SOC the right evidence-led network data and analytics they need to succeed.

💡Boost analyst productivity and consolidate your security tools with Corelight. Learn how Corelight can increase the effectiveness and efficiency of your front-line analysts by giving them all of the network evidence they need to validate, triage, remediate and tune alerts, all in one place: https://corelight.com/cases/why-corelight

📖 Read the VentureBeat article from Tim Keary here: https://venturebeat.com/security/recession-cybersecurity-landscape/

#SecurityAnalysts #SecurityOperations #SecOps #NetworkSecurity #NetworkForensics #NetworkAnalytics #NetworkMonitoring #NDR #DFIR #Cybersecurity #ThreatHunting #ThreatIntelligence #IncidentResponse

Why Corelight | Corelight

Learn how Corelight's open NDR platform can help your team track down incidents quickly and hunt like never before.

Understanding the growth of the Fediverse through the lens of Mastodon - Applied Network Science

Open-source, Decentralized Online Social Networks (DOSNs) are emerging as alternatives to the popular yet centralized and profit-driven platforms like Facebook or Twitter. In DOSNs, users can set up their own server, or instance, while they can actually interact with users of other instances. Moreover, by adopting the same communication protocol, DOSNs become part of a massive social network, namely the Fediverse. Mastodon is the most relevant platform in the Fediverse to date, and also the one that has attracted attention from the research community. Existing studies are however limited to an analysis of a relatively outdated sample of Mastodon focusing on few aspects at a user level, while several open questions have not been answered yet, especially at the instance level. In this work, we aim at pushing forward our understanding of the Fediverse by leveraging the primary role of Mastodon therein. Our first contribution is the building of an up-to-date and highly representative dataset of Mastodon. Upon this new data, we have defined a network model over Mastodon instances and exploited it to investigate three major aspects: the structural features of the Mastodon network of instances from a macroscopic as well as a mesoscopic perspective, to unveil the distinguishing traits of the underlying federative mechanism; the backbone of the network, to discover the essential interrelations between the instances; and the growth of Mastodon, to understand how the shape of the instance network has evolved during the last few years, also when broading the scope to account for instances belonging to other platforms. Our extensive analysis of the above aspects has provided a number of findings that reveal distinguishing features of Mastodon and that can be used as a starting point for the discovery of all the DOSN Fediverse.

SpringerOpen
Anyone into #NetworkAnalytics is going to want to start designing the experiments now right? You get to make actual predictions then see if you got it right :) #datascience