As artificial intelligence (AI) stands at the forefront of emerging technology in our interconnected digital landscape, it’s vital that cyber security is still viewed as a top priority. Cyber threats are ever evolving and although AI has remarkable capabilities, it has the unfortunate possibility of being used in a threatening and damaging way with techniques like AI hacking.
What are the cyber security limitations of AI?
While AI is capable of advanced threat detection, it can be susceptible to data manipulation and attacks. This means developers must prioritise implementing security updates and measures to safeguard AI systems and ensure their ongoing security. There are potential vulnerabilities that businesses should be aware of when looking to integrate AI into their cyber security strategies.
AI systems are vulnerable to biases and therefore can produce inaccurate conclusions if the data is compromised. This type of vulnerability may affect business decision-making processes, as it impacts levels of trust and accountability. Privacy risks and ethical concerns highlight the importance of finding a balance between using AI’s benefits and protecting against its weaknesses in cyber security. As cyber threats evolve, AI must continuously adapt, and failure to update these systems renders them obsolete against new threats.
What is AI hacking?
A new emerging cyber threat from is AI hacking, this is when artificial intelligence techniques are used to exploit security vulnerabilities across computer systems, networks or software. The risk of AI hacking is growing as it has earned increased attention due to its potential for sophisticated cyber attacks. AI algorithms and tools are used in a malicious way to enhance various hacking activities such as:
- Adversarial Attacks: Manipulating AI systems by feeding them specially crafted data to cause errors or misclassification.
- Automated Exploitation: Using AI to automate the discovery and exploitation of vulnerabilities in systems, networks, or software.
- Phishing and Social Engineering: Employing AI to create sophisticated phishing campaigns or mimic human behaviour for social engineering attacks.
- AI-Enhanced Malware: Developing malware that uses AI to evade detection, adapt to defences, or enhance its ability to cause damage.
- Data Breaches: Leveraging AI algorithms to extract, analyse, or misuse sensitive information obtained from data breaches.
Identifying cyber threats in AI
To help identify AI-driven threats such as AI hacking, there are three key steps on how to detect and respond to potential risks.
- Inconsistency and Behavioural Analysis: Monitor data patterns and system behaviour for suspicious changes that may indicate malicious AI activity, including unexpected abnormalities, unusual behaviours, or sudden shifts in performance.
- Data Integrity and Security Tools: Regularly assess and maintain data quality while utilising security tools designed to detect and deter AI-based threats, including verifying data integrity to prevent exploitation.
- Human Expertise and Continuous Adaptation: Combine human expertise with AI-driven monitoring. Encourage continuous learning and adaptation in systems to stay ahead of evolving AI threats, fostering collaboration within the cybersecurity community to share intelligence and insights.
How can you leverage AI in cyber security?
Although AI has it’s security weaknesses, in combination with human expertise it can be used to support your current cyber security strategy. AI can quickly highlight unusual activities that might signal threats in vast data sets. It automates routine tasks, freeing up experts to tackle more complex issues, and learns from new data to evolve defences against evolving threats. It’s ability to detect patterns and adapt makes it a powerful tool to support your cyber security against sophisticated attacks.
Overall, the combination of AI and human expertise emerges as a robust strategy in cyber security. Rather than aiming to replace human involvement, AI should complement human capabilities in securing digital infrastructures. An effective cyber security strategy thrives on the collaboration and integration of AI systems with the experienced insights and judgment of human cyber security experts. This collaboration holds the key to mitigating and responding to cyber threats optimally in our ever-evolving digital landscape.
If you are looking to improve your cyber security strategy or would like to find out more about how to stay cyber secure, get in touch with us today.