2764 results about "Risk level" patented technology

Systems, methods, and program product to perform a cyber security risk assessment on a plurality of process control networks and systems comprising a plurality of primary network assets at an industrial process facility, are provided. An example of a system and program product can include an industrial and process control systems scanning module configured to identify networks and systems topology and to execute system and network security, vulnerability, virus, link congestion, node congestion analysis to thereby detect susceptibility to know threats to define potential vulnerabilities; a threats to vulnerabilities likelihood and consequences data repository module configured to determine a likelihood of each of a plurality of known threats exploiting identified vulnerabilities and to identify consequences of the exploitation to individual impacted systems and to overall plant operation; and a risk level evaluator module configured to determine a risk level rating for any identified vulnerabilities and provide recommended corrective actions.

Methods and systems for monitoring use and determining risks associated with operation of a vehicle having one or more autonomous operation features are provided. According to certain aspects, a virtual log of data regarding performance of the features in a non-test environment may be recorded during operation of the vehicle. This may include information regarding the vehicle, the vehicle environment, use of the autonomous operation features, and / or control decisions made by the features. The control decisions may include evasive maneuvers performed by the vehicle under the control of the features. The performance data in the virtual log may be used to determine risk levels associated with vehicle operation by the autonomous operation features. The risk levels may further be used to adjust an insurance policy associated with the vehicle.

An automated trading exchange having integrated quote risk monitoring and quote modification services. An apparatus is implemented using at least one computer, having memory, and a processor. The computer is configured to receive orders and quotes, wherein specified ones of the quotes are contained in a quote group, and have associated trading parameters such as a risk threshold. Not all received quotes are required to have trading parameters as described herein. Preferably, the quote group contains all the quotes, or a subset of quotes, belonging to an individual market-maker for a given class of options contracts, or possibly the quotes of two or more market-makers that have identified themselves as belonging to a group for the purposes of risk monitoring and quote modification. The computer typically generates a trade by matching the received orders and quotes to previously received orders and quotes, and otherwise stores each of the received orders and quotes if a trade is not generated. The computer then determines whether a quote within the quote group has been filled as a result of the generated trade, and if so, determines a risk level and an aggregate risk level associated with said trade. The computer then compares the aggregate risk level with the market-maker's risk threshold, and if the threshold is exceeded, automatically modifies at least one of the remaining quotes in the quote group. The computer may also automatically regenerate quotes that have been filled.

Methods and systems for monitoring use, determining risk, and pricing insurance policies for a vehicle having autonomous or semi-autonomous operation features are provided. According to certain aspects, with the insurance customer's permission, operation of an autonomous (or semi-autonomous vehicle) by a vehicle operator may be monitored. Based upon vehicle and / or other data analysis, an identity of the operator may be determined, and operating data regarding the autonomous or semi-autonomous vehicle while the operator at least partially controls the autonomous vehicle may be monitored. A vehicle operator profile that includes information regarding an operating style of the vehicle operator based upon the operating data may be determined. Risk levels associated with operation of the autonomous vehicle based upon the information regarding the vehicle operator's operating style may be determined. Insurance discounts may be provided to risk averse vehicle owners and / or operators, or those that utilize vehicle risk mitigation or prevention technology.

In some embodiments, systems and methods are disclosed for generating filters to determine whether a consumer is likely to have a scoreable credit record based on non-credit data, and to determine a potential risk level associated with an unscoreable credit record based on non-credit data. Existing scoreable and unscoreable records are compared to determine factors correlated with having an unscoreable record, and a multi-level filter is developed. Unscoreable records having at least one entry are compared to determine whether they are “good” or “bad” risks, factors correlated with either condition are determined, and a filter is developed. The filters can be applied to records comprising demographic data to determine consumers that are likely to have unscoreable records but represent good risks.

Embodiments of the present invention provide verification and / or authentication service engines that provide a customizable solution that can be “dialed” based on the risk level assigned to individual or grouped applications. The systems can also incorporate internal and external sources of data used to verify information provided by the user. It is dynamic and can pull information from a myriad of sources during the verification process, enabling credit reporting agencies (e.g., Equifax and others), FSPs, and other service providers to facilitate real-time approval and access to products and services.

The present invention enables accurate detection of risks from an electronic mail message. In a mail inspection unit, an information extraction section extracts text and a mail address from electronic mail accumulated in a journal DB, and a text normalization section normalizes the text. A sort-information saving section generates text sort information according to the score obtained from a sorting engine, and stores it in a mail-management-information storage section. A personal-information saving section extracts personal information from a personal-information storage section according to the mail address, and stores it in the mail-management-information storage section. Finally, a risk-level determination section compares the information stored in the mail-management-information storage section with the information stored in a category-information storage section to determine the risk level of the electronic mail.