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Log Analytics and SIEM for Enterprise Security Operations and Threat Hunting

Today’s enterprise networks are heterogeneous, have multiple entry points, integrate with cloud-based applications, offer data center delivered services, include applications that run at the edge of the network, and generate massive amounts of transactional data. In effect, enterprise networks have become larger, more complex, and more difficult to secure and manage.

The Role of Threat Hunting in Modern Security

Security and IT teams may be loathe to admit it, but security has historically been mostly a reactive affair. Security engineers monitored for threats and responded when they detected one. They may have also taken steps to harden their systems against breaches, but they didn’t proactively fight the threats themselves. That is changing as more and more teams add threat hunting as one pillar of their cybersecurity strategies.

Threat Hunting with Cloud SIEM

Threat hunting is emerging as a must-have addition to cybersecurity strategies. By enabling organizations to find and mitigate threats before they ever touch their networks or systems, threat hunting provides the basis for a more proactive security posture – and one that delivers higher ROI on security tools and processes. How can businesses actually add threat hunting to their security arsenals? That’s where solutions like Sumo Logic's Cloud SIEM come in.

Tales of a Principal Threat Intelligence Analyst

At Splunk, we’re constantly on the hunt for new and emerging threats — tirelessly developing detection techniques to zero in on bad actors, while sharing key intelligence around cybercrime activity. But because threat intelligence can relate to so many different things — ranging from spear phishing campaigns to dark web dealings — it can be a challenge to cover and define all the specifics of what (or who) to look out for.

How to Proactively Plan Threat Hunting Queries

As your security capabilities improve with centralized log management, you can create proactive threat hunting queries. Setting baselines, determining abnormal behavior, and choosing an attack framework helps you mitigate risk and respond to incidents. To reduce key metrics like the mean time to investigate (MTTI) and mean time to respond (MTTR), security operations teams need to understand and create proactive queries based on their environments.

How to Plan a Threat Hunt: Using Log Analytics to Manage Data in Depth

Security analysts have long been challenged to keep up with growing volumes of increasingly sophisticated cyberattacks, but their struggles have recently grown more acute. Only 46% of security operations leaders are satisfied with their team’s ability to detect threats, and 82% of decision-makers report that their responses to threats are mostly or completely reactive — a shortcoming they’d like to overcome.

Threat Hunting with Threat Intelligence

With more people working from home, the threat landscape continues to change. Things change daily, and cybersecurity staff needs to change with them to protect information. Threat hunting techniques for an evolving landscape need to tie risk together with log data. Within your environment, there are a few things that you can do to prepare for effective threat hunting. Although none of these is a silver bullet, they can get you better prepared to investigate an alert.

Threat Hunting With ML: Another Reason to SMLE

Security is an essential part of any modern IT foundation, whether in smaller shops or at enterprise-scale. It used to be sufficient to implement rules-based software to defend against malicious actors, but those malicious actors are not standing still. Just as every aspect of IT has become more sophisticated, attackers have continued to innovate as well. Building more and more rules-based software to detect security events means you are always one step behind in an unsustainable fight.

How Clorox leverages Cloud SIEM across security operations, threat hunting, and IT Ops

During Sumo Logic’s Illuminate user conference, Heath Hendrickson, senior security architect at the Clorox company, and Gary Conner, senior threat protection lead, presented how they are leveraging Sumo Logic across security operations, threat hunting, IT operations, and more.

Investigative analysis of disjointed data in Elasticsearch with the Siren Platform

At Siren, we build a platform used for “investigative intelligence” in Law Enforcement, Intelligence, and Financial Fraud. Investigative intelligence is a specialisation of data analytics that serves the needs of those that are typically hunting for bad actors. Such investigations are the primary focus of law enforcement and intelligence, but are also critical to uncovering financial crime activities and for threat hunting in cybersecurity.