Category: AI Cyber

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Reputation in the Cyber AI World.

Reputation in the Cyber AI world. Written by Digijaks Group CEO Alan W Silberberg. Cyber | Reputation | Wealth.

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Cutting Edge Interview

Digijaks Group CEO Alan W. Silberberg was interviewed on "The Cutting Edge with Garth Fisher" in October 2025, about staying safe in a dangerous digital world. "The Cutting Edge with Garth Fisher MD" - is a podcast that features many people from a cross section of business, medicine and sports. This interview was conducted pre-recorded. … Continue reading Cutting Edge Interview

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AI Cyber Reality

Digijaks Group Founder and CEO Alan W. Silberberg on how the speed of AI cybersecurity attacks is forcing major industry changes.

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Cyber Reputation Subscriptions

Digijaks Group annual concierge cybersecurity and reputation subscription services. http://www.digijaks.com

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Cyber Reputation 2025: Protecting Your Brand in the Age of Advanced Threats

AI tools are being weaponized to generate realistic phishing emails, social engineering schemes, and even fake press releases. These attacks can damage a company’s reputation before they’re even identified.

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Cyber Reputation, and You 2024

Welcome to 2024. The Internet is a battlefield, and your reputation is constantly under threat. Whether you are an individual, a company, or a government entity, your brand and reputation are being shaped — and sometimes dismantled — in real-time. Now more than ever, managing your cybersecurity and digital reputation starts and ends with you.

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Synthetic Identity Social Engineering

The looming emergence of quantum computing threatens to make these attacks even more seamless and scalable, giving hostile nations and organized criminal groups the power to exploit synthetic identities and stolen data at an industrial scale.

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Revolutionizing Cyber Incident Response with AI

Initial Incident Detection: AI systems continuously monitor networks for suspicious activity, triggering an alert when anomalies are found. Immediate Triage: The AI-powered system prioritizes incidents based on the severity of the threat. Containment: Automated protocols isolate affected systems to prevent the spread of the threat. Remote Forensic Analysis: DFIR specialists conduct a thorough virtual examination of logs, files, and system data. Threat Elimination: AI tools work in tandem with experts to eradicate malicious code or unauthorized access points. Recovery Plan Development: The team creates a customized recovery strategy, focusing on restoring affected systems quickly and safely. Data Restoration: Backup data is analyzed, cleansed of any malware, and reintroduced into the network. System Hardening: Post-incident, AI recommends changes to system configurations to prevent future breaches. Detailed Incident Report: DFIR specialists compile a comprehensive report detailing the incident, response, and recommended future actions. Post-Incident Review: A follow-up analysis is conducted to assess the effectiveness of the response and suggest improvements for future incidents.

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Cybersecurity Reputation Incident Response in 2024

In today’s digital landscape, the convergence of cybersecurity and reputation management during incident response has never been more crucial. The rapid evolution of AI-driven attacks, which blend traditional methods with new, sophisticated tactics, has left many organizations—large enterprises, government agencies, and small businesses alike—scrambling to keep up.