Understanding and Defining AI Security in an Evolving Landscape
Dragan Kesic
Results-Driven IT Leader | Driving Innovation, Change, and Growth with Cybersecurity-Infused Solutions ► Expert in Project Success
We have yet to reach a consensus on what constitutes AI security. As the term continues to gain traction, it remains an evolving concept, with diverse interpretations and applications emerging across industries.
The phrase "AI security" is becoming increasingly common when discussing contemporary organizational defense tactics. However, despite its increasing popularity, it must still be better defined and sometimes misinterpreted. What is artificial intelligence security, and how is it different from conventional cybersecurity measures? Let's dissect this idea and try to come up with a more formal definition.
Two major categories can be used to classify AI security:
Using AI to Strengthen Security: This refers to using artificial intelligence to improve the security posture of a business. Threat detection, risk analysis, response automation, and vulnerability prediction are all accomplished with AI technologies. Examples include artificial intelligence (AI)-driven threat intelligence systems that detect new attack vectors, machine learning algorithms that detect irregularities in network traffic, and natural language processing tools that filter phishing attempts.
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Securing Artificial Intelligence Systems: As they are getting more integrated into business procedures, AI systems present special risks as they become more and more integrated into business procedures. Protecting AI systems from adversarial assaults, data poisoning, and model theft entails safeguarding their algorithms, data inputs, and outputs. Specific strategies are needed to preserve AI models' availability, confidentiality, integrity, and training data.
Based on the dual status that AI is both a tool for defense and a target for potential exploitation, I have come up with this definition:
"AI Security is the discipline of using artificial intelligence to enhance security defenses while concurrently securing AI systems against adversarial threats and misuse."
What are your thoughts on this definition of AI security? Does it adequately capture the essence of the term, or would you define it differently? I'd love to hear other perspectives. Let's continue this important conversation in the comments below!
Founder | CTO | CPO | Data Science | Blockchain | Web3 | Passwordless Authentication Expert | ML | AI | Identity and Access Management
1wDragan Kesic This is a great breakdown of AI security! I agree that it’s crucial to focus on both strengthening defenses with AI and protecting AI systems themselves from emerging threats.
📈 Growth Leader | Building High-Quality Products & Strategic Partnerships for Startup Success
2wThis is such an essential topic as AI becomes more integrated into our lives! Using AI to bolster security is transformative, but safeguarding AI systems from potential vulnerabilities is equally critical. It’s fascinating to think about how we can strike a balance between innovation and protection. Looking forward to hearing other perspectives—this conversation is crucial for shaping the future of AI!
Innovative Cybersecurity Professional Specializing in Securing GenAI Agents
2wThe term AI Security is overloaded at this time. What terms would you use to differentiate between securing ai and using ai in cybersecurity?
Helping SMEs automate and scale their operations with seamless tools, while sharing my journey in system automation and entrepreneurship
2wThe evolving concept of AI security you’ve outlined highlights the unique vulnerabilities of AI systems, especially as they become more integrated into critical business processes. It’s fascinating to see how this field is shaping up. 💯 Do you think current cybersecurity frameworks are equipped to address AI-specific threats?
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2wVery helpful!