The Cyber Defense eMagazine August Edition for 2023

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Increased efficiency with the analysis of large volumes of security data In the realm of cybersecurity, the volume and complexity of security data continue to grow exponentially. Analyzing large volumes of data in cybersecurity for threat detection is challenging due to the need for real-time analysis, handling diverse data sources and formats, identifying subtle patterns or indicators of threats amidst noise, and ensuring the accuracy and reliability of the detection algorithms to minimize false positives and negatives. Machine learning (ML) brings efficiency to analyzing large volumes of data in cybersecurity for threat detection by leveraging its ability to process data at scale, detect complex patterns and anomalies, identify previously unknown threats, and automate the analysis process. ML algorithms can quickly analyze vast amounts of data, allowing for real-time threat detection, reducing response times, and improving the accuracy of threat identification. ML's efficiency in handling large data volumes enables security teams to effectively detect and respond to threats, minimizing the risk of potential damages and enhancing overall cybersecurity posture. Improved accuracy with ability to continuously learn and adapt The accuracy of AI in cybersecurity is strengthened because it can constantly learn and adjust. By training machine learning algorithms on extensive datasets that cover a wide range of threat scenarios and behaviors, they become better at detecting threats as time goes on. As AI algorithms acquire new data, they can fine-tune their models and detect emerging threat patterns more accurately. This adaptable characteristic of AI enables organizations to proactively address evolving cyber threats and significantly improves the precision of their cybersecurity defenses. Empowering security with unveiling Unknown Threats AI's advanced algorithms and capabilities enable the unveiling of hidden dangers, empowering security teams to stay one step ahead of cybercriminals. Artificial Intelligence (AI) is instrumental in detecting unknown threats in cybersecurity, filling the gap left by traditional signature-based methods that focus on known threats. With cybercriminals continuously evolving their attack techniques, the ability to identify and respond to unknown or zero-day threats is paramount. AI empowers security systems to employ advanced techniques like behavioral analysis, anomaly detection, and predictive analytics, enabling the detection of abnormal patterns and suspicious activities. This proactive approach enables the identification of potential threats that could bypass traditional methods relying solely on known signatures. In summary, the advancements of ML in network detection and response revolutionize cybersecurity by offering increased efficiency in data analysis, improved accuracy through continuous learning, and the ability to unveil unknown threats. By harnessing the power of AI, organizations can strengthen their cybersecurity defenses, stay one step ahead of cybercriminals, and safeguard their networks against the ever-evolving landscape of cyber threats. Cyber Defense eMagazine – August 2023 Edition 22 Copyright © 2023, Cyber Defense Magazine. All rights reserved worldwide.
About the Author Gizem Yılmaz is the Product Owner of the Nextray AI. Gizem Yılmaz stands out as an experienced Data Analyst and Product Owner. She focuses on value maximization, works on the discovery of features to add to the product, and manages the priorities of ongoing work. She is a professional specialized in data analysis and a person who provides significant added value to the product development process. With its data analysis skills and strategic thinking abilities, she supports the decisionmaking processes of the business and the product development process. Gizem also provides effective communication between teams and collaborates to ensure that projects are completed on time and successfully. With its professional experience and leadership competencies, it makes a valuable contribution to the achievement of the global goals of the enterprise. See more information about Gizem at https://www.linkedin.com/in/gizem-yilmaz/. Cyber Defense eMagazine – August 2023 Edition 23 Copyright © 2023, Cyber Defense Magazine. All rights reserved worldwide.
Page 1 and 2: Implementing a Modern, Holistic App
Page 3 and 4: Lessons Learned: Cyberattack Shutte
Page 5 and 6: @MILIEFSKY From the Publisher… De
Page 7 and 8: Welcome to CDM’s August 2023 Issu
Page 9 and 10: Cyber Defense eMagazine - August 20
Page 19 and 20: eport to the CISO. The key to makin
Page 21: Transformative Benefits of ML&AI in
Page 25 and 26: wild west of the late 19 th century
Page 27 and 28: Bot Security: The Hunt for Vulnerab
Page 29 and 30: sophisticated bot attacks and fraud
Page 31 and 32: Conclusion: Evolution of Dynamic Bo
Page 33 and 34: While making this progress, agencie
Page 35 and 36: Securing the Cloud Organizational D
Page 37 and 38: Implementing BYOK requires a transf
Page 39 and 40: Will Zero Trust Replace SD-WAN? By
Page 41 and 42: To conclude, in the ever-evolving l
Page 43 and 44: computing landscape, ensuring their
Page 45 and 46: In order to modernize outdated IT i
Page 47 and 48: Employee burnout in the cybersecuri
Page 49 and 50: Six Must-Focus Cybersecurity Areas
Page 51 and 52: About the Author Zachary Folk curre
Page 53 and 54: Create a Cybersecurity Incident Res
Page 55 and 56: Lessons Learned: Cyberattack Shutte
Page 57 and 58: It doesn’t have to be. First, we
Page 59 and 60: With the increasing use of AI in di
Page 61 and 62: About the Author Tom is a Senior Sa
Page 63 and 64: in the states of Iowa, Indiana, Ten
Page 65 and 66: Closing The Gap: Resolving Human Er
Page 67 and 68: Amendable Human Error #3 - Lack of
Page 69 and 70: learning, and employees won’t ben
Page 71 and 72: 8 Tips for Best Results in Red-Team
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Threat actors constantly look for b
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Evolving Data Landscape: Rethinking
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these advancements, we can ensure t
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How hackers are using AI to their a
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4 Secure Framework Considerations B
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choose to mitigate risks either usi
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About the Author Jhilam Biswas is a
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majority of sectors. The number of
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How Hacking of The Internet of Thin
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As it’s given through the Figure
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Figure 5. The remote options of an
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About The Author Milica D. Djekic i
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The Business of Cybercrime When you
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Passive Optical Networks: A Game Ch
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Aligned with its commitment to envi
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About the Authors Folden Peterson,
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ecommending automated continuous va
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Could cybersecurity be considered C
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The confidential policies, updates,
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ISO Certification is the Key to Bet
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After our experience with this cert
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of SRA to a resource. Additionally,
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Steps for Preparing for a Quantum-R
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managing their crypto assets, organ
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Token-based authentication offers a
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When it Comes to ZTNA, Buyer Beware
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You’re Blind to Endpoint Risk Thi
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Why compliance standards are import
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Cyber Defense eMagazine - August 20
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Free Monthly Cyber Defense eMagazin
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The Cyber Defense eMagazine August Edition for 2023

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