Reputation in the Cyber AI world. Written by Digijaks Group CEO Alan W Silberberg. Cyber | Reputation | Wealth.
Tag: Reputation Security + Cyber Security
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 AI with Alan W. Silberberg podcast. Episode 7. Season 1, "AI Cyber Education Gap"
Synthetic Identity Issues 2025Synthetic Identities are making identity theft and enterprise crimes ever easier for the criminals, and harder for the defenders including you. Click here for podcast special services! CyberAI with Alan SilberbergClick Here for Services Mentioned in CyberAI With Alan Silberberg! ๐๏ธ CyberAI with Alan Silberberg Where cybersecurity, AI, and digital reputation collide. … Continue reading Synthetic Identity Attacks
AI tools are being weaponized to generate realistic phishing emails, social engineering schemes, and even fake press releases. These attacks can damage a companyโs reputation before theyโre even identified.
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 shapedโโโand sometimes dismantledโโโin real-time. Now more than ever, managing your cybersecurity and digital reputation starts and ends with you.
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.
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.
