Automated Responder Knowledge (ARK) in Action

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Automated Responder Knowledge ARK 1

We released our Machine Learning Engine PRISM in our most recent 4.2 release. The first capability that we developed from PRISM is our Automated Responder Knowledge (ARK). This capability will change the way incident responders and SOC analysts respond to incidents, and how they share and transfer their entire knowledge to the rest of the team. The key to this capability is that it learns from your own analyst’s responses to historical incidents to guide the response to new ones.

We are not re-inventing the wheel with this feature. SOC and Incident Response teams have been doing this the old-fashioned way for a long time – through 6-12 months training. What we’re doing is providing a GPS and Satellite Navigation, guiding the wheel and giving you different paths to choose from according to the terrain you are in.

We do this by analyzing incidents and their associated attributes and observables, to work out how closely they are related. Then we can suggest actions and playbooks based on your organizations' historical responses to similar threats and incidents.

Using Automated Responder Knowledge (ARK) in IncMan SOAR

Step 1: Not really a step – as it’s done automatically by Automated Responder Knowledge (ARK), but this occurs in the background for every incoming incident. Every Incident possesses a feature space1 that contains all the information related to it, composed of every attribute, associated observable and attached evidence. ARK analyses the feature spaces associated with every incident ever resolved. When a new incident is opened, it is scored and ranked and then compared by ARK to the historical model to identify related incidents or actions based on similar and shared attributes. The weighting of the ranking can be customized by analysts.

Step 2: Open the incident, selecting the applicable incident type. To save time, you can create an incident template to prepopulate some of the contexts automatically in future.

Step 3: Select Playbooks, and PRISM.

In the next screen, you will see a variety of suggested related actions and related incidents based on the feature space that your incident type is matched with. The slider at the top is used to determine the weighting in ranking for actions that are suggested. For example, if I move the slider to the left, the entire feature space actions appear, then if I move the slider to the far-right only a few actions appear from highly ranked incidents.

Step 4: Determine which automation and actions you want to use from the suggestions. After saving, you will be presented with options such as Auto-Commit, Auto-Run, Skip Enrichment, Containment, Notification or Custom Actions. You have the ability to select only the actions you want to automate. If you are concerned about running containment automatically, for example, you just deselect those options.

Step 5: The automated actions are executed, resolving the incident, based on prior machine-learning generated automated responder knowledge.

ARK is designed to facilitate knowledge transfer from senior to junior analysts and to speed up incident response by applying machine learning to automate the knowledge gathering and analysis.

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DFLabs IncMan SOAR is the pioneering Security Orchestration, Automation and Response (SOAR) platform to automate, orchestrate and measure security operations tasks.

IncMan SOAR harnesses machine learning and automation capabilities to augment human analysts to maximize the effectiveness and efficiency of security operations teams, reducing the time from breach discovery to resolution by up to 80%.

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See for yourself why IncMan SOAR is the preferred solution of Fortune 500, Global 2000 and MSSP clients. DFLabs IncMan SOAR at a glance:

  • Full and semi-automated Incident Response, improving response times by up to 80%
  • Covers the entire spectrum of IR and SecOps
  • Automated Responder Knowledge (ARK) generated by machine learning
  • Highly flexible and customizable, with over 100 templates and automation actions out of the box
  • Correlation engine correlates all relevant IOCs and artefacts between incidents
  • Multi-tenancy and granular role-based access
  • Dual mode playbooks and intelligence sharing
  • Powerful case management with integrated forensics capabilities.

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