When OpenAI launched Chat GPT in 2022, discourse on Artificial Intelligence (AI) erupted overnight.
AI is set to disrupt the business world, and one area where it will make a noticeable impact is cybersecurity. However, when it comes to AI and cybersecurity, there are both opportunities to capitalize on and challenges that must be addressed.
For example, a recent news report by CSO revealed that 75% of global businesses have banned or are considering banning the use of ChatGPT and other Generative AI apps within the workplace. This decision is owed to the risks that such apps pose to data privacy and cybersecurity.
Organizations must understand the effects of AI in cybersecurity to navigate the rapidly evolving digital landscape, whether by themselves or with the assistance of cybersecurity service providers.
In this article, Silverse delineates the advantages and challenges of AI in cybersecurity, and how they are collectively transforming businesses.
75% of global businesses have banned or are considering banning the use of ChatGPT.
AI systems find, combine and classify data to help reduce cybersecurity risks. Particularly in the areas of network surveillance and threat intelligence, cybersecurity can take advantage of AI and Machine Learning (ML).
AI in cybersecurity provides a notable edge in preventing attacks. This not only helps to safeguard data, but also lower IT costs for businesses.
Indeed, according to recent research, the global market value for AI in cybersecurity is expected to reach $133.8 billion by 2030.
Speeding Up Security Outcomes
Routine, simple tasks that do not require human judgment and expertise can be automated. Generative AI can be used to streamline tasks that depend on collaboration between technology and humans, such as incident response and security policy generation.
Supporting SOAR Products
AI and ML can support Security Orchestration Automation and Response (SOAR) products by integrating visualization, automation, reporting, incident management and collaboration, and orchestration procedures under a single interface.
SOAR products can further provide security operations center (SoC) workers with a faster, more precise approach to managing the vast amounts of data generated by cybersecurity systems.
Monitoring Network Activity
Using Predictive & Prescriptive Analytics
Predictive analytics can help organizations identify vulnerabilities or issues in systems before they lead to damage. Furthermore, it thrives on the vast amounts of data that cybersecurity requires.
On the other hand, prescriptive analytics can help companies respond to incidents based on recommendations to contain and remove their causes.
Discussions about AI and cybersecurity are often focused on the advantages AI brings to the table. However, AI and ML are double-edged swords, and can be utilized by cybercriminals. Indeed, they are already being used to bolster malware and cyber-attacks.
“AI is too important not to regulate—and too important not to regulate well,” says Sundar Pichai, CEO of Google.
As AI changes the way cybersecurity and other domains operate, governments and companies need to examine AI seriously and determine what fences to put around it. Already, around the world, we are seeing the nascent stages of AI regulation.
AI and ML are double-edged swords, and can be utilized by cybercriminals.
For example, the National Institute of Standards and Technology (NIST) produced the AI Risk Management Framework and the European Parliament came up with the European Union Artificial Intelligence Act, which is claimed to be the world’s first comprehensive legal framework on AI.
It is important to note that, unlike European countries, the US is unlikely to pass a broad national AI law in the near future. Instead, we can expect executive branch actions, as well as domain-specific actions in workforce, child safety, healthcare, housing, financial services, and other executive orders.
Having said that, the US is leading efforts to develop ISO/IEC 42001: an international standard that will enable a more responsible adoption of AI across various domains. It will outline requirements for initiating, maintaining, and improving AI Management Systems within organizations.
The marriage of AI and cybersecurity is set to disrupt operational models. Organizations will have to continually adapt both tech implementation and approaches to risk management at the rate of AI evolution.
In the coming years, businesses can expect to address new and increasingly complex threats in order to maintain resilience and business continuity. To enable this, board and C-suite executives will require adequate advisory and reporting, and a seat will need to be made at the table for at least one cybersecurity expert. Indeed, according to Gartner, 70% of boards will include one member with cyber expertise by 2026.
Silverse equips companies with the tools and knowledge to create a security framework that aligns with business objectives. Our cybersecurity services enable smarter, faster decision-making and help create a culture of cyber resilience. Get in touch now.
Please fill the details below. A representative will contact you shortly after receiving your request.
