All Research Sponsored By:Deep Instinct
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Case Study: Secure High Volume File Upload
To discover how a Fortune 50 financial services organization prevents malicious file uploads, tap into this case study.
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Deep Instinct Prevention with Storage
Data is the lifeblood of the modern enterprise – a repository rich with insights along with sensitive and protected customer information. As organizations continue to digitally transform, applications, employees and customers are generating more data than ever before. In this overview, learn how you can secure that data with deep learning.
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5 Advantages of Deep Learning in Cybersecurity
There is an opportunity for a transformational change to adopt superior threat prevention, brought about by the most advanced form of AI – deep learning (DL). But what is deep learning, and why should you care? Find answers in this blog, which explores the key differences between DL and machine learning.
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Fighting Malware with Deep Learning
How secure is your file storage? The consolidation of data from various endpoints has transformed your critical data repositories into major attack vectors, providing a one-stop shop for attackers. Fortunately, deep learning can close this critical gap in your cybersecurity defense. Watch this webcast to learn more.
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Generative AI and Cybersecurity: Bright Future or Business Battleground?
69% of businesses have adopted generative AI (GenAI) tools, according to the fourth edition of the 2023 “Voice of SecOps” report. This massive adoption rate begs an important question: Is GenAI a friend or foe – or both – of cybersecurity? Find an answer in this report.
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AI-driven Cyberstorage: Protecting Organizations’ Most Valuable Asset
Data is the lifeblood of the modern enterprise. A data breach – whether through ransomware, a zero-day, or other malware attacks – can be catastrophic. Safeguarding these repositories – whether they're in Network Attached Storage (NAS), hybrid, or public cloud environments – against increasingly sophisticated cyber threats is paramount.
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2023 Mid-Year Threat Report: Navigating the Threat Landscape
In this 29-page report, review major threat trends from 2023 and unlock predictions about the cyber landscape in 2024.
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Threat Landscape ReportSpecial Edition: Conti Group
As the Conti group continues to menace enterprises, businesses are left scrambling to bolster their defenses against the ransomware group. To better protect your business from Conti’s attacks, unlock a comprehensive overview of the group’s history, campaign flow and more in this report.
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The Evolution of AI in Cybersecurity: Breaking the Cycle of Reactionary Cybersecurity
While security teams strive to combat new threats as fast as they can, as long as their approach is reactionary, hackers will always have the upper hand. This white paper examines how the adoption of AI and ML presents an opportunity to overcome reactionary approaches and achieve proactive anti-malware security. Read on to learn more.
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File Upload Security: The Missing Category for a Comprehensive Security Posture
Organizations accept files through their web applications to run their business. But, files being uploaded by customers could contain malware or some other risk that could hurt your business. What is scarier is that 80% of successful breaches come from zero-day attacks. Read on to learn more and don’t let malicious files stay like uninvited guests.
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Deep Learning vs. Machine Learning in Cybersecurity
This eBook compares the differences between deep learning and machine learning tools for cybersecurity, helping you determine which makes the most sense for your business. Read the eBook here.
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Deep Learning Delivers Proactive Cyber Defense
Amidst the cybersecurity skills shortage, organizations are hard pressed to find new answers to evolving problems. Deep learning, a subset of machine learning, offers a highly accurate way to identify attack patterns and stop threats before they become attacks, without the need for highly skilled cybersecurity experts. Read on to learn more.