The short answer:
The Instinct Platform answers three basic questions:
- Where is the next digital incident?
- Will it impact us more than we allow?
- What should we do about it?
The long answer:
The components of the Instinct Platform (the Instinct Engine product and the Risk Instinct service) take advantage of Emergent's Dynamic Risk Model approach to measure, quantify, and project business risk created by digital exposures. This goes beyond compliance or subjective risk analysis by discovering the most critical business risks right now and justifying those findings with quantifiable risk data.
The general progression of the model is:
Metrics> Risk Objects > Exposure Scenarios > Business Impacts and Risk Appetite
1. The platform uses simple metadata metrics from first-line tactical tools and systems—antivirus, human resources systems, external threat feeds, or many other sources.
2. It uses these metrics to assess the relative nervousness of risk objects in an ever-expanding ontology. To date, the risk ontology contains nearly 1,000 objects.
3. Our machine imagination uses historical and analyst-crafted exposure scenarios to generate a virtually endless risk space of potential scenarios. Our patented swarming artificial intelligence then explores this virtual space to find those scenarios that are 1) the most exposed and therefore probable to create losses and 2) which ones could result in the worst business impacts.
4. Scenario impact is aggregated and attributed to client-specified business impact categories, like Market Risk, Credit Risk, Legal and Compliance, or Reputation Risk. These may be segmented by business unit to assist the risk executive with decisions around digital investment to mitigate potential risk.
5. The now quantified risk is compared to the organization's risk appetite, allowing executives to understand the business impact of underlying technical exposures.