Izengard is the first disruptive enterprise wide forensics platform to unify cyber security, financial crime and IT risk management. It is top-down, starting from organization and process design, designing controls and the utilizing the power of a scalable platform to deliver the processes, the models and controls in an intuitive user friendly design. It works on the same basis as you would transform an entire set of operations and follows a similar paradigm.
We respect you have a choice of vendors. To benefit overall, the sum is greater than the parts of the individual. That is the reason why Izengard is not a siloed point solution and integrates by benefiting from a holistic view.
A single data point, without a deeper understanding of wider user/device behavior leads to an overall poor risk indicator. The platform combines multiple data points from all three domains (Cyber, Financial Crime and IT Risk Management) with customer and device characteristics from current and historical data to drive rich data points to help figure out contextual anomalies and reduce false positives given by point anomaly contextual solutions.
The platform takes entity resolution to a different level, with contextual history and by bringing the best practices found under each domain and combined with our experience. Our zero trust resolution, starts with not trusting the identity of anyone. Instead the platform combines digital footprint history with many more data points. The platform learns more about the entity (customer, device, vendor, app, channel, service) all the time.
The platform understands that many government sources (so called UBOs and individual citizen/address registers) are used everyday to register shell entities (shelf companies) or via fake alias' entities (synthetic identities), which don’t actually exist and have sometimes indicate ridiculous capital. Izengard does much more than examining entities registered at multiple addresses or same/similar directors are part of multiple companies.
The platform has horizon scanning capability and is fed from regulatory intelligence, law enforcement and other sources, as well as via experiential learning. Izengard also operates a fully anonymized consortium database of which members can benefit from patterns seen elsewhere. The team behind the platform and our technology partners work hard to keep intelligence in the form of typologies up to date for you and informs you of any potential changes to detection models.
Izengard’s contextual approach, intelligent machine learning, resolution mechanisms and intelligent investigations via a forensic approach allows stronger robotic process automation. With this in place, Izengard reduces the cost of level 1 alerts review and when escalated it is more contextually aware, therefore providing supervisors with better context to make their decisions to report with confidence to law enforcement, regulators and their legal team.
Internal perpetrators of crime will not get away with subverting the course of an investigation. Izengard having adopted the zero trust paradigm has in-built legal hold, chain of custody and chain of evidence. Data is stored in a tamper proof manner, any changes upstream will be detected and everyone is profiled including Izengard system administrators. Whistleblowing systems are built in for manual as well as automated escalations.
Many processes and activities that are typically performed in operations by humans are already automated in Izengard. As an organization you can turn on and off as many automated workers as you need and specify the work allocation amongst them. No need to panic and hire temporary contract labor.
Izengard has been designed to not look at risk assessments stand alone. Izengard aggregates risk assessments, examines duplicate items, examines correlations between risk types/assessments and applies different customizable risk ratings. Izengard then uses advanced calculators for your risk appetite in a similar non-linear way. Your CISOs, CROs, CCOs, Head of Fraud together with internal audit will be happy with the advanced risk management approach. .