Understanding Real-World Social Engineering Threats

Social engineering is a growing threat, exploiting human psychology to breach security. Unlike traditional cyber attacks that rely on exploiting technical vulnerabilities, social engineering targets the most unpredictable element of any security system: people.

Join Sean Bell, Sr. Solutions Engineer at Fortra, as we explore:

  • How attackers craft convincing and deceptive scenarios to manipulate their targets
  • Effective training methods to prepare employees for recognizing and countering these attacks
  • Real-world examples showcasing the latest social engineering attacks and their impacts
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Gamification for Cyber Security Awareness Training Success

Corporate cybersecurity awareness training is in dire need of revitalization due to employees being overwhelmed with tasks and showing minimal interest in traditional training sessions. Gamification transforms this training into an engaging and relatable experience. By integrating gamified elements with scientifically grounded training methodologies, companies can significantly enhance the effectiveness of their cybersecurity programs.

The inherent human tendency to trust makes individuals vulnerable to cyber threats, with phishing attacks alone costing companies an average of $1.1 million. However, when companies adopt people-centric training, they turn their biggest risk factor into their strongest asset against cyber threats. Gamified training not only makes the learning process more interactive but also emphasizes the real risks of cybersecurity, thereby fostering a proactive and informed organizational culture.

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Pendiente 2 The Cyber Security Hub

Establishing a strong security-aware organizational culture and changing user behavior is built on knowledge. To avoid data breaches, employees must be able to identify and report potential cyber threats.

The Cyber Security Hub makes it easier than ever to obtain and distribute content on a variety of important cyber security topics, including phishing, social engineering, ransomware, passwords, and much more.

The Cyber Security Hub’s content includes:

  • Explanations and examples of important cyber threats
  • Expert CISO-approved tips on strengthening data protection
  • Fun, informative reinforcement material to boost user engagement
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Pendiente 1 Try Cybersecurity Awareness Games

Are your employees truly engaging with your security awareness training? Traditional methods often fall flat, leading to unsafe behaviors and low knowledge retention.

Gamified training can change that. By making the learning process interactive, you can increase engagement by 60%, reduce risky behaviors, and enhance knowledge retention.

Transform your security training into an exciting experience and build a workforce that is better prepared to recognize and respond to security threats.

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Building Real-Time Analytics Systems

This book is a practical guide for implementing real-time analytics applications on top of existing data infrastructure. It is aimed at data engineers, data architects, and application developers who have some experience working with streaming data or would like to get acquainted with it.

The book will conclude with considerations when putting applications into production, a look at some real-world use cases of real-time analytics, and a gaze into our real-time analytics crystal ball to see what might be coming in this field over the next few years.

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Top 6 Use Cases for Real-Time Analytics

Ready to stay ahead in today’s fast-paced data-driven world? This eBook is your guide to unlocking the full potential of real-time analytics, no matter your industry or specific use case.

What’s inside?

  • 6 Real-World Use Cases: Discover how companies use real-time analytics for fraud detection, personalization, business metrics monitoring, and more.
  • Industry-Specific Applications: Learn how real-time analytics is transforming industries like IT, retail, FinTech, customer service, and more.
  • Actionable Insights: Quickly identify solutions with our easy-to-use matrix, explore real-world examples, and gain inspiration from customer success stories.
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Top 6 Use Cases for Real-Time Analytics

Ready to stay ahead in today’s fast-paced data-driven world? This eBook is your guide to unlocking the full potential of real-time analytics, no matter your industry or specific use case.

What’s inside?

  • 6 Real-World Use Cases: Discover how companies use real-time analytics for fraud detection, personalization, business metrics monitoring, and more.
  • Industry-Specific Applications: Learn how real-time analytics is transforming industries like IT, retail, FinTech, customer service, and more.
  • Actionable Insights: Quickly identify solutions with our easy-to-use matrix, explore real-world examples, and gain inspiration from customer success stories.
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View Now

Building Real-Time Analytics Systems

This book is a practical guide for implementing real-time analytics applications on top of existing data infrastructure. It is aimed at data engineers, data architects, and application developers who have some experience working with streaming data or would like to get acquainted with it.

The book will conclude with considerations when putting applications into production, a look at some real-world use cases of real-time analytics, and a gaze into our real-time analytics crystal ball to see what might be coming in this field over the next few years.

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Packaging Powerhouse Attains 89% OEE with Smart Factory Suite

A packaging leader's executive team conducted a manual analysis in search of ways to improve operations and attain higher output without sacrificing quality or sustainability. Through this analysis, the company recognized that efficiency improvements remained stagnant while employees were unaware of reporting procedures. Since expectations were not aligned with current operational standards, reaching their goals became a challenge.

The company needed a solution for its manufacturing procedures that could be easily adopted with limited disruptions. The solution also had to be accessible to every team member. Shoplogix provided the company with the technology required to have reliable data tracking and continuous improvement.

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Your Data Room Checklist

You can’t do an M&A deal without doing due diligence.

And you can’t do due diligence without a virtual data room (VDR).

So, a trusted and powerful platform, with the best technology, security, and service, is essential for completing deals efficiently and successfully.

Do your due diligence on your data room. To make sure your data room is the right one for you.

View Your Data Room Checklist now.

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Datasite Forecaster – H2 2024 Outlook

Good times are ahead for the M&A market, based on sell-side deal flow in H1 2024 compared to the year before. Global deal kickoffs jumped 17%, driven by easing inflation and pent-up demand. The deal surge starts to close this July, assuming a six-to-nine month timeline. What are the key trends to track as we move into the second half of the year?

Learn more in the full report.

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Cut Your Total Cost of Ownership By At Least 68% With inCloud Observability

When assessing the 'build or buy' observability dilemma, there are a number of factors to weigh out. Above all else, it's crucial to consider: ease of use, simplicity of installation, seamless integration with your existing stack, user adoption, and of course - cost of ownership.

The following is a detailed breakdown of all of the factors which impact the total cost of ownership, guiding you to an informed decision of whether to invest in a homegrown solution, or which existing solution to opt for off the shelf.

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Monitor Everything You Run in The Cloud, With Zero Compromises

groundcover is the only observability platform that merges an inCloud architecture with the powers of eBPF. This unique combination makes it possible to gain granular visibility over all your cloud environments.

groundcover redefines application performance monitoring by completely disassociating data volumes from observability costs with a zero instrumentation deployment.

Main values:

  • No instrumentation
  • No need to stream data externally
  • End-to-end visibility
  • Near-zero CPU & memory impact
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