Artificial Intelligence in Cybersecurity
How do you ensure the right balance between the power and threats of AI within your organization?
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The opportunities and threats of AI
The past few years have been all about Artificial Intelligence (AI). The various applications followed each other in rapid succession, with ChatGPT perhaps as the best-known example. AI has entered our daily lives in a short time and we also use AI tools regularly for business. McKinsey research shows that 40 percent of organizations want to invest in the use of AI.
AI is also widely used in cybersecurity, both by ill-wishers and benevolents. Examples of the influence of AI on the cybersecurity threat landscape include phishing attacks and social engineering techniques that can be extremely sophisticated today. In order to intercept and prevent the new, advanced attacks in time, the cybersecurity sector itself also uses AI. Among other things, to be able to separate the wheat from the chaff when there is an incredibly large and growing amount of threat information coming to security experts. In addition, AI helps correlate and prioritize threat information.
For example, you might think there is a balance: both sides of the spectrum use AI and so there is a status quo. But that balance is not there or is fragile. That's why we need to be even more vigilant and properly assess the dangers of AI in relation to cyber attacks.
AI in your organization: the benefits and burdens
ChatGPT vs. FraudGPT
AI has many positive aspects. However, AI is also used by malicious parties. For example, there are now FraudGPT, WormGPT and other rogue variants to quickly and effectively write the perfect phishing email or make an indistinguishable deepfake video.
What should I pay attention to?
When you start using AI as an organization, it is important to select a supplier that suits your organization. AI isn't a panacea that can solve every problem. However, it can, for example, help security specialists act faster and more effectively in the event of a possible cyber incident.
Shadow AI
As an organization, you are sometimes faced with a difficult choice: are you going to ban certain tools or are you going to facilitate the use of AI? When you allow the use of generative AI, it is important to agree on clear rules. For example, about the purposes for which you will use AI.
MDR remains a 'Human LED'
Our Managed Detection and Response (MDR) solutions use AI, machine learning, or other smart technology. As a result, our SOC analysts respond more quickly and appropriately to possible threats that really exist. For example, AI is an important tool for significantly reducing the number of false positives, allowing analysts to spend more time on urgent reports.
AI alone is not perfect, the human factor remains essential to make the right decision when it comes to taking appropriate action.
Determining the starting point of a possible cybersecurity incident is important. The alerts from our Endpoint Detection and Response (EDR) solution seamlessly integrate with our alerts Network Detection and Response (NDR) solution. This allows our experts to quickly determine the storyline for the course of the incident and mitigate possible risks.
The changing threat landscape
Attacks against people
AI has many positive aspects. However, AI is also used by malicious parties. Thanks to smart tooling and social engineering, they can perfectly tailor their attack to the victim based on public information. By using knowledge about the victim and the work environment, the attacks become increasingly convincing and difficult to distinguish from the real thing.
Influencing outcomes
AI systems are fed with large amounts of data. Malicious parties can structurally feed these systems with dubious or erroneous data in order to influence the outcomes generated by AI. For example, to damage the name and reputation of an organization or product, or to influence election results.
Generative AI risks
There are several risks to using generative AI. For example, AI depends on the data that feeds the system. Malicious actors can feed an AI model's training set with misleading data. Other risks include model theft, privacy violations and AI hallucinations.
the vision paper on AI
Artificial Intelligence (AI), or artificial intelligence, is a disruptive technology that offers many opportunities, but also poses new risks and threats. Want to know more about the role of AI in cybersecurity? Then download our vision paper now!
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Tesorion is a Dutch, multidisciplinary cybersecurity service provider. We combat cybercrime and minimize business risks. Tesorion protects your organization 24/7 thanks to our technology and more than 100 experts.
