Securing The Way For Ai Multilayered Device Defenses

Securing the Way for AI Multilayered Device Defenses PAGE 2 Contents Introduction 3 Chapter 1 The evolving threat landscape 4 Chapter 2 Tracking risks at every device layer 6 Chapter 3 Multilayered security for the era of AI 10 Conclusion Comprehensive security from chip to cloud 12 Introduction For many businesses in today’s fast-paced digital world, AI stands as a beacon of limitless potential. By unleashing new levels of imagination and productivity, companies can create innovative products and services that set their industry’s benchmarks. Furthermore, AI’s capability to analyze and process massive amounts of data with precision empowers businesses to gain a deeper understanding of consumer behavior and market trends. This enhanced perspective guides more calculated and strategic decision-making. AI isn’t just a technological add-on but a transformative force that can reshape industries and shift how businesses operate and compete. Companies aiming to unlock the power of AI must prioritize strong security measures at the device level. By adopting a comprehensive security strategy that spans the entire ecosystem, businesses can build a secure environment where AI innovation can flourish. Establishing a secure infrastructure that covers every digital layer lets organizations drive AI advancements and data-centric innovations while maintaining the necessary vigilance to safeguard their assets. This e-book will explore the strategies and tools for building foundational device security so you can take advantage of the benefits of AI while maintaining integrity and trust in your systems. PAGE 3 Chapter 1 The evolving threat landscape Targeting the weakest link Like predators on the hunt, cybercriminals tend to attack the weakest mark. For instance, many ransomware attacks target unmanaged or bring-your-own devices (BYOD), exploiting their generally weaker security measures and defenses. Research for the 2023 Microsoft Defense Report found that 80% to 90% of successful ransomware compromises originated through unmanaged devices. Attackers typically seek the path of least resistance to infiltrate unauthorized systems. They employ identity theft tactics ranging from conventional brute-force attacks to advanced password spraying across various countries, IP ranges, and Adversary-in-the-Middle (AiTM) attacks. Phishing remains a regular tool in the cybercriminal arsenal. Attackers deploy both malware-based phishing to take over devices and AiTM phishing techniques to hijack identities for further illicit activities, including business email compromise. Today, weak identity and data protections represent a welcome sign to would-be attackers. Before implementing AI, businesses must prioritize securing identities and data as a strategic measure to mitigate risks and as a critical investment in the company’s long-term resilience and success. Evolving cybercrime tactics As organizations strive to increase cybersecurity, cybercriminals evolve to get around new defenses. Many are using the cybercrime as a service model to orchestrate widespread phishing, identity theft, and distributed denial-of-service (DDoS) attacks. At the same time, they’re finding ways to get around multifactor authentication and other protective measures to carry out precise attacks. Ransomware groups increasingly focus on manual, hands-on keyboard tactics, employing techniques that use the victim’s existing environment and remote encryption methods to hide their activities. Some cybercriminals will impersonate people within the company, or compromise trusted third parties to make their activities harder to detect while they gain access to corporate systems and data. Because AI relies on data for learning and execution, businesses must ensure sensitive information isn’t exposed to malicious actors. As cybercrime tactics continue to evolve, organizations looking to use AI must also increase their security practices to protect identities and data. Attackers target what they see as the weakest link, including passwords, outdated systems, and unmanaged devices.

of devices on legacy firmware are exploitable to a high number of Common Vulnerabilities and Exposures (CVEs).

of operational technology devices on customer networks use unsupported operating systems, making them more susceptible to cyberattacks due to a lack of essential updates and protection against evolving threats.

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