If you want to skip ahead to see the MITRE ATT&CK eval round 2 results visualized in an easy-to-configure Kibana dashboard, check it out here.

Six months ago we celebrated the joining of forces between Endgame and Elastic under the banner of Elastic Security and announced the elimination of per endpoint pricing. Simultaneously, while the newest members of Elastic Security were getting acquainted with the Elastic SIEM team, a few of our analysts were locked away in an office at MITRE HQ for round 2 of MITRE’s APT emulation.

Confession: I am a security practitioner. I am also a mom. What I am not is a homeschool teacher. Earlier this year, I spoke to the 5th- and 6th-grade classes at my son’s Innovation Day about cybersecurity. I discussed what it means to be a cybersecurity practitioner and how the practice of cybersecurity affects everyday life.

Many mature security teams look to the MITRE ATT&CK® matrix to help improve their understanding of attacker tactics, techniques, and procedures (TTPs) and to better understand their own capabilities relative to these common adversarial approaches. With the release of Elastic Security 7.6, Elastic SIEM saw 92 detection rules for threat hunting and security analytics aligned to ATT&CK.

In Part 2 of this two-part series, our goal is to provide security practitioners with better visibility, knowledge, and capabilities relative to malicious persistence techniques that impact organizations around the world every day. In this post, we’ll explore two additional persistence techniques that are being used by attackers in the wild: Scheduled Tasks (T1053) and BITS Jobs (T1197).

Security teams must protect attack surfaces that are becoming bigger and more distributed due to the growth of remote work, cloud infrastructure, and other dynamics. These teams understand that meeting this challenge at scale requires the successful incorporation of the appropriate technology into their security operations program.

Last month, we hosted a webinar, Hunting for persistence using Elastic Security, where we examined some techniques that attackers use in the wild to maintain presence in their victim’s environment. In this two-part blog series, we’ll share the details of what was covered during our webinar with the goal of helping security practitioners improve their visibility of these offensive persistence techniques and help to undermine the efficacy of these attacks against their organization.

With the release of Elastic Security 7.6, we've announced our creation of a modern detection engine that provides SOC teams with a unified SIEM rule experience through Elastic SIEM detections. The detection engine draws from a purpose-built set of Elasticsearch analytics engines and runs on a new distributed execution platform in Kibana.

Hello, security enthusiasts! This is part seven (can you believe it?) of the Elastic SIEM for home and small business blog series. If you haven’t read the first six blogs in the series, you may want to before going any further. In the prerequisite blogs we created our Elasticsearch Service deployment (part 1), secured access to our cluster by restricting privileges for users and Beats (part 2), then we created an ingest pipeline for GeoIP data and reviewed our Beats configurations (part 3).