33 Ways Not To Screw Up Cybersecurity Promotion

99 Cents Promotion

Summer reading should be easy. This short book, 33 Ways Not To Screw Up Cybersecurity, full of cybersecurity stories and advice, may save your wallet or business for 99 cents. My goal for writing the book remains the same as last summer — to help business owners, their teams, and other readers extract one gem that could be a game changer for improving their cyber hygiene and online security.

I get it, as someone who has suffered hacks and fraud. Pain points can take years to heal and resolve. Too many businesses have not survived cyberattacks or have done so at immense costs, with goals and dreams shattered by one spoof email, one click, one untrained employee, or one distracted moment by a fully-trained individual.

I founded The Cyber Dawn® to help businesses understand their cyber threats and how to respond to cyberattacks from a resilience stance. Training and communications matter in helping you win the battle with hackers.

There is hope.

YouTube Video of Podcast

You can learn more about me, my book, and the 33 Ways book series in this YouTube video of the podcast with host Alastair McDermott.

What About AI?

My book was published before the ChatGPT era. Here is an excerpt on artificial intelligence and machine learning from my book:

#32: Emerging Trends & Risks

What is Artificial Intelligence?

Artificial intelligence (AI) simulates or mimics human intelligence processes such as learning, reasoning, language, and speech recognition.

What is Machine Learning?

Machine learning (ML) is a subcategory of AI. ML automates the process of analytical model building and allows machines to adapt to new scenarios independently.

Why AI Matters in Cyber

What if artificial intelligence and machine learning algorithms could prevent sensitive or critical data theft by cyber thieves using phishing emails to manipulate your employees? Would you consider it a worthwhile investment?

AI integrates technology to simplify complex processes and ensure higher reliability, security, and independence. In recent years, AI has become protective gear, predicting cyberattacks, mitigating their impact on IT infrastructure, and developing security improvements.

In 2019, approximately 83% of organizations in the US considered AI essential in dealing with cyberattacks. AI is valued at over USD 10 billion in cybersecurity and is forecast to increase to over USD 46 billion by 2027.

How to Manage the Balancing Act

 AI in cybersecurity is not a replacement for cybersecurity professionals. Instead, AI combined with cybersecurity experts helps detect and solve vulnerabilities and malicious behavior in the network.

Your company will want to discuss the advantages of AI in your cybersecurity strategy and measures, which may include:

• Complete real-time monitoring of networks for threats
• Quick and early detection of new cyberattack vectors, threats, and breaches
• Prompt action and elimination of threats with minimal human intervention
• Automated creation of machine learning algorithms and deep learning to detect and ward off cyber threats from:
  • Spam emails
  • Phishing emails
  • Malicious websites
  • Third-party applications
  • Shared files
  • Enhanced diagnostic capabilities

• Processing large amounts of data On the other hand, consider the disadvantages of AI in cybersecurity, including:
  • Artificial intelligence (AI) and machine learning (ML) are vulnerable to hacking.
  • Since AI/ML requires training, it is even more susceptible than most software.
  • Hackers can attack AI/ML without access to their computer network.
  • AI threatens our sensitive and confidential data if devices transfer our data to third-party vendors, leading to a potential privacy violation.
  • Early-stage issues such as the high cost of talent and low reliability.
  • Keeping pace with compliance during the data surge.

Joining Forces to Collaborate and Win

Human intervention is part of the equation for AI-based cybersecurity solutions.

The choice between artificial intelligence and machine learning versus cybersecurity professionals is not either-or. Instead, a joint effort is needed to win the battle against sophisticated cybercriminals and nation-state actors.

As I have done throughout my career, I will continue to track emerging trends and risks to share with you.

Kristy, Dawn. 33 Ways Not To Screw Up Cybersecurity (p. 131 – 136). Networlding Publishing. Kindle Edition.

What’s Next

My fascination to learn as much as I can about AI means that I will add more information about AI on the Bonus Page on my website, in my Newsletter relaunching this summer, and in future books.

Disclaimer

This blog post is made available for informational purposes and is not a substitute for professional or legal advice. No attorney-client relationship is formed or implied between you, the author, or the website publisher.