Cyber Threat Hunting (CTH) in an Age of Escalating Cyber Threats
Why Cyber Threat Hunting? As the digital world evolves and grows, so do the complexities and challenges of cybersecurity. Cyber...
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The Illusion of Cybersecurity Quantification
Where has measurability gone? Approximately “48% attempt to quantify the damage a cyberattack could have” on their business (Lis &...
SURVEY: Top 3 Artificial Intelligence (AI) Commercial Vendors
Getting Right or Wrong? Commercial Developments A review of open-source industrial sector literature reveals a predominant use of internal data...
How Much More Intrusive Can Our Technology Get?
--Technology and Privacy-- Written by Dr. Susan Cole and Dr. Dana Hudnall In an era where privacy is not valued...
SPOT: Security Audit Rules of Engagement (ROE)
Take Control before you are taken control of.... The lead auditor will establish evaluation criteria for the assessment of the...
Should You Hire a Virtual CISO?
HIRE A vCISO at Cybersentinel.ai CLICK THE LINK ABOVE As a business owner, you have a lot on your plate...
TOP 5: The Main Implications of ML to Help Deter Cyber-threats
SUSCEPTIBILITY OF DATA INTERNAL AND EXTERNAL TO THE DATA ANALYTIC EFFORT...INSIDE AND OUTSIDE "THE WIRE" Data poisoning, also known as...
CYBER DECEPTION: Impact to Cybersecurity and the Application of Machine Learning Tools
Cyber deception is a relatively new approach to cybersecurity that involves creating fake digital assets, such as fake websites or...
TOP 10: Challenges of NIST 800-171 for Companies to Meet DOD Cybersecurity Contracting Requirements
The National Institute of Standards and Technology (NIST) Special Publication 800-171, "Protecting Controlled Unclassified Information in Nonfederal Information Systems and...
How the DOD Can be Successful against the Major Cyber Threat Actors?
CYBERSECURITY REQUIRES A HOLISTIC APPROACH AT ALL LEVELS The Department of Defense (DoD) is critical in protecting the United States...
The Importance of Continually Learning into Adulthood
LEARNING SHOULD NEVER END Continual learning is a crucial aspect of personal and professional development, and it is important...
Clustering Algorithms Can Play a Pivotal Role in Identifying Cyber-threat Anomalies in Data
Garbage in/Garbage out...why do we need good data? Data quality and consistency are crucial for data scientists because they significantly...
SPOT: Security Technical Implementation Guides (STIGs): Why are They Neglected by System Developers?
MORE THAN JUST NIST SECURITY CONTROLS System hardening is the process of securing a computer system by reducing its attack...
Next Phase of Cybersecurity Protection: Cyberanalytics
Cyberanalytics is the logical progression for the application of Machine Learning to Cybersecurity Protective Measures As we continue to rely...
2023: Why Cybersecurity Matters to Businesses
A CYBER-SHORT FOR BUSINESSES: NOT QUITE THE ALAMO, BUT GETTING MORE CHALLENGING Cybersecurity is an increasingly important concern for businesses...
The Best Metrics to use in Protecting your Computer infrastructure and the Types of Threats Facing Businesses
DEFENDING AGAINST ONGOING CYBER-ASSAULTS As a company or business, it is essential to prioritize the protection of your computer infrastructure...
Why Clustering Algorithms are Best Suited to Identify and Protect against Cyberthreats
Clustering algorithms are a type of machine learning algorithm that can be used to identify patterns and relationships within a...
The Importance of Metrics in Cybersecurity
Metrics are a crucial aspect of cybersecurity, as they allow organizations to measure and track the effectiveness of their security...
CRITIQUE: The Problems with the Scientific-based Risk Metrics Methodology
Applying the Qualitative to Frame Quantitative Analysis Abstract A significant challenge facing businesses and agencies is how to focus limited...
A Quick Debate about Sample Size Determination
Is more data better or worse? Abstract One quantitative challenge facing experimenters in data science is how large a sample...
CO-ACT: An Ethics Model for Data Science Privacy
Balancing the Benefits of Data Science with Privacy The implications of data science have yet to solidify within the academic...
ETHICS: The Ongoing Failed Application of Utility in Cybersecurity
An Ethical Exploration ...A Faulty Application of Utilitarianism in Cybersecurity.... Utilitarianism is foundational to the Western business ethical decision-making process...
The TOP 6 Fallacies of Cyber-Threat Hunting
Focus on what will make it work #6 It is more TACTICAL than STRATEGIC. The current small community addressing why...
PRIMER: Describe & Define Current Research Study Methods
For those delving into a Phd Program I have had some questions from readers starting their own PhD adventure. The...
February 2020: CMMC Latest FAQs
On January 31, 2020 several issues answered by the DOD specific to the CMMC. In 2019, the Department of Defense...
SPOT: Neural Networks to Improve Cyber-Intrusion Detection
Wilner (2018) describes the nature of cybersecurity as unsurprisingly fluctuating due to ongoing threat challenges, especially in the area of...
COMMENTARY: DOD’s Cybersecurity Maturity Model Certification II
A Prognostication for the Arm-chair Cyber Generals In 2019, the Department of Defense (DOD) announced the development of the Cybersecurity...
SPOT: Why End-point Security is not good enough…
Threat Intelligence and Situational Awareness Beyond the Security Boundary Columbus (2019a) identifies ten major cybersecurity firms that are applying AI-based...
SPOT: CMMC: When 32 = 17 (Security Controls)
Why mathematics and the CMMC don't seem to work.... Security controls MUST be either established, addressed in a cybersecurity policy...
HISTORY: The 75-cent Clue….
Meet Stoll & Olson Phone Bill Problem Even before the vast proliferation of the personal computer, it took a 75-cent...
SPOT: Halladay and Predictive Analytics
The Value of Data Science in the 21st Century Halladay (2013) explores the value of AI/ML predictive capabilities in the...
External Data’s Role in Cyber-Defense
In the Background way too Long... Nagrecha and Chawla’s (2106) and Zuech et al.’s (2015) works are historical and seminal...
SYNOPSIS: The AI Winters and Summers
In the beginning. While it is presumed that the advent of data science and AI is a rather new phenomenon,...