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    The shuttering of many in-person events, such as fundraising galas or even allowing patrons to visit the exhibits, has forced museum leaders to seriously question the survival of these institutions due to plunges in revenue.

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    We're proud to announce that Marijana Radić Boone has joined the Gravyty team as Director of Data Solutions and Implementation. Welcome!

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    Gravyty becomes the first nonprofit tech AI company to pass SOC 2 certification.

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    As we approach the end of the calendar year, fundraisers are preparing their appeals to donors. However, this year's appeals will look different than before as fundraisers are being forced to reexamine who is receiving an end-of-year appeal, and more importantly, how the ask is made.

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    Although sophisticated scams like spear-phishing attacks regularly make headlines, one of the most common threats to data security is email misdirection. These are security vulnerabilities that end-point security software cannot prevent.

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    Despite its incredible efficiencies and economies of scale, email as a communication tool is reliant on human interaction and judgement. This places the risk of human error incredibly high.

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    To ensure long term organizational health, there must be a focus on short term opportunities. Many donors have been able to expand their wealth during the pandemic, which opens the door to focus on those supporters and ask for increased support.

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    Spear-phishing attacks are becoming more and more common, and they’re more sophisticated than ever. Even well-intentioned fundraisers can be easily lured into inadvertently providing attackers with access to donor data.

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    After seeing some common questions from the webinar ‘How Fundraising Technology Bridges the Giving Gap’, we circled back to our two hosts to see if they could provide us some answers.

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    As data sets grow exponentially and organizations become more data-driven, these vulnerabilities are only projected to get worse. The most prominent risks now become well-intentioned employees who make mistakes with their organizations’ data.

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