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AI Security 2024 – Experts Predict Game-Changing Trends

In this post:

  • Essential Eight Framework Expansion: MSPs are set to implement the Essential Eight framework across a broader spectrum of businesses, prioritizing security amidst rising cyber threats.
  • AI’s Evolution in Cybersecurity: AI and machine learning tools will become more accessible, automating tasks and enhancing cybersecurity solutions to counter evolving threats.
  • Risks and Rewards of Generative AI: As Generative AI becomes more widespread, businesses grapple with the potential risks, including “Shadow AI,” while also harnessing its benefits for productivity.

In a rapidly evolving digital landscape, the intersection of artificial intelligence and cybersecurity takes center stage. As businesses brace themselves for the challenges of 2024, industry leaders and experts have outlined eight key predictions shaping the future of AI security. The crucial theme resonating through these forecasts is the imperative need to balance innovation with robust security measures. Tim Jackson, Managing Director at Access4, emphasizes the pivotal role of prioritizing security as cyber threats loom large.

Prioritizing AI security amidst evolving threats

Tim Jackson underscores the paramount importance of prioritizing security in the face of persistent cyber threats and privacy breaches. With businesses increasingly vulnerable, Managed Service Providers (MSPs) are expected to extend the Essential Eight framework across a broader spectrum of businesses. This move aims to fortify defenses and tackle the evolving threat landscape head-on.

Andrew Winlaw, Vice President at Amelia, foresees a landscape where AI technologies become indispensable for businesses seeking comprehensive and precise outcomes. Accessible AI tools, open-source libraries, and cloud-based platforms are set to automate a range of tasks, from customer support to supply chain management. The integration of AI into cybersecurity solutions becomes crucial, with real-time threat detection and response taking precedence.

Ameya Talwalkar, Founder and CEO of Cequence Security, sheds light on the dual-use nature of Generative AI. Highlighting the pivotal role of APIs in secure data sharing, Talwalkar stresses the responsibility of organizations in ensuring the safe and ethical application of AI. The focus shifts from merely acquiring AI tools to the secure integration, especially through APIs, fostering a resilient AI-powered future.

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AI’s evolution in cybersecurity leadership

Bernd Greifeneder, CTO at Dynatrace, predicts the phase-out of traditional Security Information and Event Management (SIEM) systems in favor of next-gen threat intelligence and analytics solutions. These modern solutions leverage various AI techniques, including generative, causal, and predictive methods. The result is deeper, more accurate, and automated threat analysis, offering enhanced protection against sophisticated threats.

Organizations are gearing up for the AI revolution by appointing senior executives dedicated to AI’s security, compliance, and governance implications. In 2024, the Chief AI Officer (CAIO) emerges as a key player, focusing on policy development, education, and empowerment of the workforce to use AI safely. This strategic move aims to prevent accidental noncompliance, intellectual property leakage, and security threats.

Phil Swain, VP of Information Security at Extreme Networks, anticipates the proliferation of second and third-generation AI-based security tools. These tools are designed to defend and counter-attack AI-based attacks in real-time, resembling a futuristic AI version of Battle Bots. The battleground shifts to organizations as they become arenas for combatting AI-driven threats.

AI’s democratic rise and security challenges ahead

Chris Ellis, Director of Pre-Sales at Nintex, predicts the democratization of AI, making it more accessible to business users and ‘citizen developers.’ Yet, alongside this accessibility comes a doubling down on cybersecurity and risk mitigation. The challenge lies in applying AI in a compliant and cost-effective manner while fostering a culture of adoption through awareness and learning.

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Uri Dvir, CTO at WalkMe, warns of the risks associated with “Shadow AI,” where employees use AI tools without oversight. Businesses face the challenge of discovering and understanding how staff use these tools to regain control. Corey Nachreiner, CTO at WatchGuard Technologies, raises concerns about the escalation of vishing calls in 2024, fueled by convincing deepfake audio and large language models. The scale and volume of these attacks may no longer rely on human threat actors.

As 2024 unfolds, the integration of AI into the fabric of business operations brings unprecedented opportunities and challenges. The delicate balance between innovation and security will define the success of organizations navigating the evolving AI security landscape. How will businesses adapt to the democratization of AI while mitigating the risks associated with Shadow AI and advanced vishing techniques? The answers will shape the future of AI security and its impact on the business world.

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