Peter Manev
Peter Manev is the co-founder and chief strategy officer (CSO) of Stamus Networks and a member of the executive team at Open Information Security Foundation (OISF). Peter has over 15 years of experience in the IT industry, including enterprise-level IT security practice. He is a passionate user, developer, and explorer of innovative open-source security software. He is responsible for training as well as quality assurance and testing on the development team of Suricata – the open-source threat detection engine. Peter is also the lead developer of SELKS, the popular turnkey open-source implementation of Suricata. Peter is a regular speaker and educator on open-source security, threat hunting, and network security.
Peter has been involved with Suricata IDS/IPS/NSM from its very early days in 2009 as QA and training lead. He is currently a Suricata executive council member. Peter has 15 years of experience in the IT industry, including as an enterprise-level IT security practitioner.
SELKS maintainer - turn-key Suricata-based IDS/IPS/NSM. A frequent contributor to and user of innovative open source security software, Peter maintains several online repositories for Suricata-related information: https://github.com/pevma , https://github.com/orgs/StamusNetworks/repositories and https://twitter.com/pevma.
Peter Manev is a co-author of the The Security Analyst’s Guide to Suricata book written with Eric Leblond.
Additionally, Peter is one of the founders of Stamus Networks, a company providing commercial and open-source network detection and response solutions based on Suricata. Peter often engages in private or public training events in the area of advanced deployment and threat hunting at conferences, workshops or live-fire cyber exercises such as Crossed Swords, Locked Shields, DeepSec, Troopers, DefCon, Suricon, SharkFest, RSA, Flocon, MIT Lincoln Lab and others
Session
Suricata is a widely-used high performance, open source network analysis and threat detection software. This training will provide hands-on learning for different techniques using Suricata protocol analysis data for generating useful and actionable algorithmic and signature detection.