Qognify announced that it will introduce ACI, an Access Control Insights solution. Using machine learning data analytics, Qognify ACI uses smart pattern recognition to transform data from access control systems into information that can be used to improve security and operations.
Access control systems are a central component in security management, holding a wealth of data with significant operational impact. Qognify ACI reveals the information within this data to answer and address daily security challenges.
Is a certain unauthorised access a mistake, or an attempted fraud? Is a door-open-too-long an innocent oversight, or a threat from internal/external sources? Is a card holder’s access late at night a regular course of business or a suspicious action? Should this person be accessing this location so frequently?
Being able to effectively differentiate one from the other can be sometimes impossible and certainly critical in busy operations or security control centres. Qognify ACI uses machine learning data analytics to extend the value of investment made by organisations in their access control systems:
• Card holders’ activity information is monitored and analysed continuously, yielding individual behaviour patterns.
• Consequently, out-of-the-ordinary behaviours are reported via alerts.
• Business logic rules are used for improved response to critical alarms.
With Qognify ACI, organisations will benefit from smart pattern recognition, a reduction in fines (where access breaches are regulated and penalised), improved safety and security through an insightful sensor inspection plan and adherence to compliance with organisational security plans.
Qognify’s ACI is the first among a range of packaged solutions to be launched. These are pre-designed and pre-configured bundles designed to address common and specific operational or security-related challenges, using the intelligent capabilities of the Qognify portfolio, including Situator, OIC (Operational Intelligence Centre) VisionHub and video analytics.
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