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Stop Cyber Threats Before They Cost You: Protecting Financial Services with Fortra

Two in three financial institutions faced cyberattacks in 2024, and that trend shows little sign of letting up. Because of their valuable data – hooked conveniently to direct financial information – FinServ organizations are perennial targets for hungry attackers. But this isn’t news to anybody. Financial institutions understand the threats, and for the most part, they are some of the most...
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11 Security Assessment Tools by Fortra for More Informed Security

Gaining a better cybersecurity posture doesn’t have to be such a painstaking process. Work to better identify, prioritize, and mitigate security vulnerabilities within your organization by gaining informed, easy-to-understand insight from Fortra’ security assessment tools.
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Key Considerations in The Ever-Evolving Data Privacy Landscape – DLP or Data Classification First?

Enza Iannopollo, principal analyst at Forrester, recently answered some of the pressing questions we’ve received when it comes to data security, and more importantly building the foundations of your data security strategy. Today we’re looking at what Enza had to say when it comes to implementing DLP and data classification, and if one should come...
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Data at rest versus data at creation: It’s not a choice you should make – secure them both

As part of your defense against an external cyberattack, you’re ready to tackle the enormous task of securing all the data sitting on your servers, desktops and external drives.If you’re like most organizations, you’ve got tons of it because no one throws anything away these days. And if you’re working at an enterprise, it’s an exponentially larger...
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How do you handle the ticking time bomb of dark data?

Organizations of all sizes face a similar challenge: the ticking time bomb of old data.2020 is expected to be a period of exceptionally rapid data growth, with the growth in demand outstripping growth in storage supply solutions, according to Harvard Business Analytics.Adding to the complexity: 80% of all data organizations generate daily is...