WELCOME TO THE JULY 2024 NEWSLETTER

Cyber Scoop is KeyStone Solutions monthly newsletter about the latest trends, topics, and articles relating to cybersecurity. As a Managed Service Security Provider (MSSP), KeyStone’s expert team helps small to medium sized businesses with IT services including virtual Chief Information Security Officer (vCISO), cybersecurity, help desk support, Governance, Risk, and Compliance (GRC), cloud solutions, and KeyStone’s signature service, IT Team as a Service (ITTaaS) which is an all-encompass solution.

From The Desk of the CISO

AI Deepfake Risks for SMB Organizations

By Rob Ashcraft, CISO at KeyStone Solutions

As a small business owner, it’s crucial to stay vigilant against emerging threats in the digital landscape, and one such menace is the proliferation of AI-generated deepfakes. These sophisticated manipulations of audio, video, and images can deceive customers, erode customer trust, and damage brand reputation. Therefore, implementing robust countermeasures against deepfakes is not just a matter of safeguarding your business but also upholding trust and credibility within your community and industry.

GenAI: The Next Frontier in AI Security Threats

Commentary by KeyStone’s Rob Ashcraft

An article by Security Intelligence explores the emergence of generative adversarial networks (GANs) as a potential threat to cybersecurity. GANs, known for their ability to create realistic synthetic data, pose new challenges in defending against cyberattacks. Key takeaways include:

• Evolution of Threats: GANs represent a significant evolution in the capabilities of AI-driven cyber threats, enabling the creation of sophisticated fake data and convincing forgeries.
• AI-Powered Attacks: With GANs, attackers can generate realistic phishing emails, deepfakes, and malware that are difficult to detect using traditional security measures.
• Adversarial Attacks: GANs empower adversaries to create adversarial examples, fooling AI-based security systems and bypassing defenses by exploiting vulnerabilities.
• Challenges in Defense: Traditional cybersecurity measures may struggle to distinguish between genuine and synthetic data generated by GANs, highlighting the need for advanced defense strategies.
• Detection Techniques: Researchers are exploring methods such as GAN-specific detection algorithms and adversarial training to enhance the resilience of AI-based security systems against GAN-generated threats.
• Collaborative Due Diligence: Addressing the Gen-AI threat requires collaboration between cybersecurity experts, AI researchers, and GRC policymakers to develop robust defense mechanisms, countermeasures and regulations to mitigate potential risks.

Click on the link below to read the article from Security Intelligence.

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