Has it been over a year already?
On November 30, 2022, ChatGPT released for public use; spread on a large scaleand caused a frenzy in silicon valley and on wall street.
The debut of ChatGPT was an amazing moment for generative artificial intelligence, as people discovered what a tool was that could take written prompts from users and return human-like responses. it is complete.
With ChatGPT, AI has entered the public consciousness as potentially one of the greatest technological advances in history, driving new business models and reshaping various industries and business processes.
Cybersecurity is one of the industries being transformed by AI, but the technology is a unique double-edged sword for the field. Both attackers and defenders utilize her AI capabilities to enhance their tactics.
As we approach the one-year anniversary of ChatGPT’s coming-out party, it seems like a good time to dig deeper into the specific ways AI is changing the landscape of cybersecurity. AI is a game-changer for cybersecurity, and it’s important that everyone in the industry understands the why and how.
Here are five things we’re seeing.
1. AI “attack platforms” are emerging.
The early uses of AI in cybercrime are problematic enough. Examples include more convincing phishing emails, voice recordings, image cloning, and deepfakes used to commit fraud. Hacker techniques have become infinitely more sophisticated than a Nigerian prince’s email. Additionally, AI-powered hacking tools can mimic human behavior and learn from previous attacks, making them much harder to detect and defend against.
But that threat pales in comparison to the growth of AI-powered hacking-as-a-service, which is making attacks much easier to execute.For example, a tool called ChatGPT style Worm GPTNow readily available on the dark web, malicious software cybersecurity attack campaigns can be produced with far fewer resources and expertise than before.
The proliferation of such AI-powered hacking tools creates a platform with all the basic building blocks for attacks of unprecedented scale and for those looking to launch a profitable cybercrime business. The barrier to entry for people has been lowered.
The future of cybersecurity is becoming increasingly challenging with the rise of AI-powered hacking tools. As AI technology advances, attackers will continue to develop more sophisticated attacks that can evade traditional defenses.
2. The best offense is a good defense.
As AI plays a growing role in cybercriminals’ arsenals, organizations are combining AI technologies (machine learning algorithms, natural language processing, and other AI-based tools) with more traditional security strategies into their cybersecurity strategies. It is important to incorporate it and counter it with fire. Tools such as antivirus protection, intrusion detection, and identity management to identify and mitigate threats.
And here’s the good news. In his AI arms race with the attacker, the defender has an advantage. That’s because organizations have more data at their disposal than bad actors about their computing environments, security features, known vulnerabilities, and more. Use available data to train AI models to identify potential threats faster and more accurately.
But we need to proactively stay up to date with the latest AI developments and have the right systems in place: systems that can detect and prevent malicious uses of generative AI and analyze vast amounts of data to detect anomalies. Unless you invest in it, your organization will blow away its benefits.
3. Accelerate SOC automation.
Humans will continue to work in the SOC, but AI-powered systems will take over many of the day-to-day tasks.
Modern SOCs increasingly resemble 21cent Factory of the century. Once upon a time, factories were filled with people working on assembly lines. Robots now do much of the work, and humans work with them to handle the more difficult tasks and make sure everything runs smoothly. A similar scenario is starting to play out in his SOC and will evolve rapidly over the next few years.
Attackers move so quickly and at unprecedented scale that machines can track suspicious activity across a sprawling enterprise, including servers, network devices, laptops, employee-owned cell phones and tablets, and Internet of Things devices. It’s good to monitor and be able to detect. . They can do it faster and better than humans.
Another benefit: AI could eventually help alleviate pesky and persistent cybersecurity as well. shortage of human resources.
4. Generative AI breaks down security silos.
Cybersecurity has long been siled, with organizations installing different tools and products that are often poorly interconnected. No matter how diligent vendors and organizations are at integrating tools, consolidating all relevant cybersecurity information in one place remains a major challenge.
However, AI offers a way to combine multiple data sets from many disparate sources to provide a truly integrated view and actionable insights into an organization’s security posture.
And with generative AI, getting these insights is very easy, just ask the system questions like, “What are the top three things I can do today to reduce risk?” or “What is the best way to respond to this incident report?”
AI has the potential to integrate security feeds in ways the industry has never understood before.
5. The way organizations store and use data will change dramatically.
Generative AI disrupts the very nature of data infrastructure. please think about it. The various tools that organizations use to store and manage data are all made for humans. Basically, they are designed to segment information and keep it in different electronic boxes for people to search for later. This is a model based on how the human mind works.
But in a post-AI world, that structure will become obsolete. Machines do all the heavy lifting of collecting, retrieving, and contextualizing data, so data doesn’t need to be integrated and organized in the same way.
In fact, data management will feel decidedly random. This sounds shocking until you consider that Amazon was essentially doing the same thing as before. embrace randomness Inside that huge warehouse. Products are placed wherever there is free space, and computers track them based on factors such as how quickly and frequently customers order products.
The same thing happens with cybersecurity data. With the advent of AI, there will be no reason to store or access data in human-readable formats, which we have relied on forever. The impact on infrastructure will be profound and far exceed previous transformations such as cloud computing. This will completely transform cybersecurity over time as it will redefine the challenges we all face.
The uproar since ChatGPT was released last November has highlighted how fast the AI train is moving. My five points show what organizations can gain by participating in this.
Cybercrime damage is occurring all over the world. projected As hackers increasingly leverage AI, it’s expected to grow from $8.15 trillion this year to $13.82 trillion by 2028, but do we really have a choice?