Welcome to the world of Cyber Security! Safeguard your digital assets and protect yourself from cyber threats in an interconnected world. Explore the latest strategies, tools, and best practices to defend against hackers, malware, and data breaches. From securing networks to implementing robust encryption, Cyber Security provides a comprehensive resource for individuals and organizations seeking to fortify their digital defenses. Stay informed about emerging threats, learn from industry experts, and discover how to create a secure digital environment. Join us in the fight against cybercrime and embark on a journey to protect what matters most.
Cyber security refers to every aspect of protecting an organization and its employees and assets against cyber threats. As cyberattacks become more common and sophisticated and corporate networks grow more complex, a variety of cyber security solutions are required to mitigate corporate cyber risk.
Cyber security is the practice of defending computers, servers, mobile devices, electronic systems, networks, and data from malicious attacks. It's also known as information technology security or electronic information security. The term applies in a variety of contexts, from business to mobile computing, and can be divided into a few common categories.
AI is changing the game for cybersecurity, analyzing massive quantities of risk data to speed response times and augment under-resourced security operations.
“Enterprises need to build security infrastructure leveraging the power of AI, machine learning, and deep learning to handle the sheer scale of analysis” – Gaurav Banga, Founder and CEO.
AI cybersecurity solutions
As cyberattacks grow in volume and complexity, artificial intelligence (AI) is helping under-resourced security operations analysts stay ahead of threats. Curating threat intelligence from millions of research papers, blogs and news stories, AI technologies like ,machine learning and natural language processing provide rapid insights to cut through the noise of daily alerts, drastically reducing response times. Watch the video to see how AI helps analysts connect the dots between threats.
The cyberattack surface in modern enterprise environments is massive, and it’s continuing to grow rapidly. This means that analyzing and improving an organization’s cybersecurity posture needs more than mere human intervention.
AI and machine learning are now becoming essential to information security, as these technologies are capable of swiftly analyzing millions of data sets and tracking down a wide variety of cyber threats — from malware menaces to shady behavior that might result in a phishing attack.
These technologies continually learn and improve, drawing data from past experiences and present to pinpoint new varieties of attacks that can occur today or tomorrow.
In this post, we’ll review the use of AI in cybersecurity (both good and bad), along with what the experts and executives have to say about this matter.
Advantages of AI in Cybersecurity
AI presents many advantages and applications in a variety of areas, cybersecurity being one of them. With fast-evolving cyberattacks and rapid multiplication of devices happening today, AI and machine learning can help to keep abreast with cybercriminals, automate threat detection, and respond more effectively than conventional software-driven or manual techniques.
Here are a few advantages and applications of using AI in cybersecurity:
Capgemini Research Institute analyzed the role of AI in cybersecurity and their report titled Reinventing Cybersecurity with Artificial Intelligence strongly suggests strengthening cybersecurity defenses with AI is urgent for modern enterprises.
The survey’s respondents (850 executives from cybersecurity, IT information security, and IT operations across 10 countries) believe that AI-enabled response is necessary because cyberpunks are already leveraging AI tech to execute cyberattacks.
Some of the report’s key takeaways include:
Three out of four surveyed executives say that AI allows their organization to respond faster to breaches.
69% of organizations think AI is necessary to respond to cyberattacks.
Three in five firms say that using AI improves the accuracy and efficiency of cyber analysts.
As networks become larger and data becomes more complex, AI provides better solutions to an organization’s cybersecurity needs. Simply put, humans aren’t capable of handling the growing complexities on their own, and sooner or later, the use of AI becomes inevitable.
Downsides of AI in Cybersecurity
The advantages discussed above are just a small chunk of the potential of AI in improving cybersecurity.
However, as with anything, there are also some downsides to using AI in this field. In order to build and maintain an AI system, organizations would need substantially more resources and financial investments.
Furthermore, as AI systems are trained using data sets, you must acquire many distinct sets of malware codes, non-malicious codes, and anomalies. Acquiring all of these data sets is time-intensive and requires investments that most organizations cannot afford.
Without huge volumes of data and events, AI systems can render incorrect results and/or false positives. And getting inaccurate data from unreliable sources can even backfire.
Another major downside is that cybercriminals can also use AI to analyze their malware and launch more advanced attacks, which brings us to the next point…
Use of AI by Adversaries
AI can be used by cybersecurity professionals to reinforce cybersecurity best practices and minimize the attack surface rather than continually being on the lookout for malicious activity.
On the flipside, cybercriminals can take advantage of those same AI systems for malicious purposes. Adversarial AI “causes machine learning models to misinterpret inputs into the system and behave in a way that’s favorable to the attacker,” according to Accenture.
For example, an iPhone’s “FaceID” access feature uses neural networks to recognize faces, making it susceptible to adversarial AI attacks. Hackers could construct adversarial images to bypass the Face ID security features and easily continue their attack without drawing attention.
Conclusion
AI is fast emerging as a must-have technology for enhancing the performance of IT security teams. Humans can no longer scale to sufficiently secure an enterprise-level attack surface, and AI gives the much-needed analysis and threat identification that can be used by security professionals to minimize breach risk and enhance security posture.
Moreover, AI can help discover and prioritize risks, direct incident response, and identify malware attacks before they come into the picture.
So, even with the potential downsides, AI will serve to drive cybersecurity forward and help organizations create a more robust security posture.
FREQUENTLY ASKED QUESTIONS
How is AI used in cybersecurity?
AI is used in cyber security to quickly analyze millions of events and identify many different types of threats – from malware exploiting zero-day vulnerabilities to identifying risky behavior that might lead to a phishing attack or download of malicious code. This technology is a self-learning system that automatically and continuously gathers data from across your enterprise information systems. This data is then analyzed and used to perform a correlation of patterns across millions to billions of signals relevant to the enterprise attack surface to identify new types of attacks.
Will AI take over cybersecurity?
With today’s ever-evolving cyber-attacks and proliferation of devices, analyzing and solving cybersecurity posture is not a human-scale problem anymore. Artificial Intelligence (AI) based tools for cybersecurity have emerged to help information security teams reduce breach risk by providing real-time monitoring of the attack surface, improving security threat detection, and prompting action so your security team can “keep up with the bad guys”. Given its benefits, AI-based cybersecurity posture management systems are growing in popularity as more organizations are recognizing their ability to automate threat detection and predict cyberattacks with matchless precision.
What is AI in cybersecurity?
AI in cybersecurity is the process of analyzing numerous quantities of risk data and the relationship between threats in your enterprise information systems to identify new types of attacks. The result is new levels of intelligence feeding human teams across diverse categories of cybersecurity, including IT asset inventory, threat exposure, controls effectiveness, breach risk prediction, incident response, and improved communication around cyber security within the organization. With their ability to quickly analyze millions of events and identify many different types of threats, AI technologies can help security teams reduce breach risk and improve their security posture efficiently and effectively.
What is cyber security and how is artificial intelligence (AI) changing the game for it?
Cybersecurity is the practice of protecting systems, networks, and programs from digital attacks, theft, and damage. Hacking refers to the unauthorized access or manipulation of these systems, networks, and programs for malicious purposes. Cybersecurity measures are put in place to prevent hacking and other cyber threats.
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