Artificial Intelligence dominated the news in 2024. Let’s take a look back to see what our experts were predicting and whether it held up to expectations.
Joseph Carson, Chief Security Scientist and Advisory CISO at Delinea:
Cybercriminals will increasingly use artificial intelligence (AI) to automate and enhance their attacks. In response, cybersecurity defenses will rely more on AI and machine learning for threat detection and automated incident response, creating a continuous battle of algorithms.
Max Gilg, Sales Director critical infrastructure at Claroty:
Generative AI will improve the cyber and operational resilience of cyber-physical systems. This type of approach will not only be necessary for countering the speed, sophistication, and scale with which malicious actors are weaponizing AI against CPS — but it will also be more feasible than ever before. The digital transformation is showing no signs of slowing down — to the point where our critical infrastructure now truly relies on the ever-growing web of devices that is the XIoT.
With billions of these devices and counting, the volume of XIoT datapoints continually being generated is inconceivably large — and laden with invaluable insights for CPS owners, operators, and defenders to harness. Generative AI will make that possible. AI will drive resilience for these critical assets and systems moving forward by automating key security and operational workflows, delivering advance visibility into the entire XIoT attack surface, and empowering CPS defenders to preempt malicious actors.
With all the quotes from cybersecurity experts, we decided to ask the generative AI which started it all how artificial intelligence will change the industry. Here’s what ChatGPT said:
ChatGTP, Generative AI by OpenAI
AI will revolutionize cybersecurity by enabling faster threat detection, real-time response, and predictive analytics to identify vulnerabilities before they are exploited. It will automate routine tasks, allowing cybersecurity professionals to focus on complex challenges, while also introducing new risks, such as adversarial AI attacks, that require innovative defense strategies.
Brian Vecci, Field CTO at Varonis Systems:
One thing every organization is concerned with is making sure that data is properly secured since AI tools are really good at finding interesting information across a platform data for users — even if the users are not supposed to have access to that data. Securing your data before rolling out AI tools to protect it from inadvertent exfiltration is becoming a higher priority for many companies.
Emerging AI copilot tools could be the greatest insider threat tools ever created. Platform providers like Microsoft acknowledge that data governance and over-sharing are challenges, and many enterprises are holding off deploying generative AI tools until they can solve these problems because they know there will be significant risks if they don’t.
Kelly Ahuja, CEO, at Versa Networks:
While AI technology has been around for years and embedded into many products, next year will see an explosion in the adoption of Generative AI and other AI tools. AI tools can process data much faster than humans, meaning that the insights gained from using AI to process tasks are much quicker and typically more accurate, making it easier to act on decisions quickly.
While there has been a lot of focus on LLMs, at the end of the day everyone has access to the same algorithms. We predict that 2024 will be all about the data you need to drive AI models and apply AI responsibly.
John Cannava, Chief Information Officer at Ping Identity
Artificial intelligence (AI) has infiltrated the workforce at an unprecedented rate, adding greater IT complexity to today’s hybrid work model. To date, CIOs have played an important role in implementing this emerging technology within organizations in a secure, effective, and efficient manner.
But CIOs will become AI leaders, collaborating closely with the CISO, CHRO, and legal teams to ensure the continued secure and ethical use of AI in internal processes, as well as external innovations. We’ll also see the emergence of new C-suite roles, like Chief AI Officer, who will partner with CIOs to ensure AI adoption continues to grow and emerging regulations are adhered to across the enterprise.
Steve Leeper, VP Product Marketing, Datadobi:
“As artificial intelligence (AI) continues to weave into the fabric of modern business, next year is likely to witness a surge in the demand for enhanced data insight and mobility. Companies will need to gain insight into their data to strategically feed AI and machine learning platforms, ensuring the most valuable and relevant information is utilized for analysis.
This granular data insight will become a cornerstone for businesses as they navigate the complexities of AI integration. At the same time, the mobility of data will emerge as a critical factor, with the need to efficiently transfer large and numerous datasets to AI systems for in-depth analysis and model refinement. The era of AI adoption will not just be about possessing vast amounts of data but about unlocking its true value through meticulous selection and agile movement.