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Adam Bannister is a contributor to IFSEC Global, having been in the role of Editor from 2014 through to November 2019. Adam also had stints as a journalist at cybersecurity publication, The Daily Swig, and as Managing Editor at Dynamis Online Media Group.
Qognify has announced the release of ACI (or Access Control Insights), which uses smart pattern recognition algorithms to better interpret data captured by access control systems.
Refined through machine learning, ACI helps busy control room operators more quickly and effectively understand certain anomalous situations.
Qognify posits that organisations could benefit from a reduction in fines (where access breaches are regulated and penalised), improved safety and security through an insightful sensor inspection plan and easier compliance with security plans. The financial benefits could be particularly enormous for airports, as the case study below details.
Hypothetical scenarios
ACI could help distinguish between whether an unauthorised access is a genuine mistake or an attempted fraud
Whether a door left open for too long is an oversight or a threat from internal/external sources
Whether a card holder’s late-night entry is part of the normal course of business or a suspicious action
Where someone is gaining access more frequently than would be expected given their role and access rights
Features
Card holders’ activity information is monitored and analysed continuously, generating individual behaviour patterns
Therefore out-of-the-ordinary behaviours are reported via alerts
Business logic rules improve responses to critical alarms
Case study
An international airport in the US explains why it invested in Qognify’s ACI:
“According to TSA’s regulations, in every door-forced-open case, airports have three minutes to arrive to the location, 12 minutes to report and 15 mins to close the incident.
“A solution [like ACI] can save the airport hundreds of thousands of dollars in fines annually.” Unnamed US airport already deploying ACI
“After that, TSA must be notified of a security breach. While it may sound very simple to use the mass notification system, in reality, out of dozens of door breaches per day, there are about 10% of where the case isn’t closed within these 15 minutes.
“We sometimes just get too busy and miss the mark. Every time this happens, an investigation with the TSA is opened, and the airport might be fined.
“Having a solution that will enable us to address this specific issue, can save the airport hundreds of thousands of dollars in fines annually.”
More data analytics solutions coming soon
ACI, which will be showcased at IFSEC International in London in June, is the first among a range of packaged solutions planned for launch by Qognify. These pre-designed, pre-configured bundles are designed to augment the capabilities of the Qognify portfolio, including Situator, OIC (Operational Intelligence Center) and VisionHub.
About Qognify
Qognify provides big data solutions for physical security and operations, helping organisations mitigate risk, maintain business continuity, and optimise operations. The Qognify portfolio includes video management, video and data analytics, and PSIM/situation management solutions that are deployed in financial institutions, transportation agencies, airports, seaports, utility companies, city centres and to secure many of the world’s highest-profile public events.
See ACI and other solutions from Qognify in action at IFSEC International, 19-21 June 2018, ExCeL London. They will be on stand E220. Register now.
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Qognify introduces ACI, a smart pattern recognition solution for access control analyticsQognify has announced the release of ACI (or Access Control Insights), which uses smart pattern recognition algorithms to better interpret data captured by access control systems.
Adam Bannister
IFSEC Insider | Security and Fire News and Resources
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