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Technology has come a long way since dial-up and floppy disks. That rapid evolution has seen innovations in communication and connectivity and reshaped how our society operates, from PCs to smartphones. However, what’s also evolved are the problems that come alongside this interconnected web of information.
Gone are the days of floppy disk viruses. Now, and more frequently as of late, it’s incredibly intrusive and stealthily implemented cyberattacks that have become the norm. The increased sophistication of these attacks targets an individual’s or business’s private information, which ranges from Personal Identifiable Information (PII) like SSNs to even theft of Intellectual Property (IP). On top of this, there’s a shortage of skilled cybersecurity professionals to meet the growing demand and challenge.
How could we hope to achieve a better sense of cybersecurity? Well, modern problems require modern solutions. Enter Artificial Intelligence (AI). While a blanket term for many subsets like machine learning (ML) algorithms and deep learning neural networks, it’s a programmable machine that can learn, reason, and make decisions independently across all fronts. It’s a versatile tool that can be the edge businesses need to secure employee and client information, plus strengthen their reputation.
Understanding how AI can be a helpful tool means understanding its relationship with cybersecurity. Safe to say, it’s a complex one. AI can help improve cybersecurity with its ability to identify patterns through large amounts of data, resulting in the prediction and prevention of cyberattacks. Additionally, it can automate threat detection and response and make it possible to identify system vulnerabilities before they’re exploited, resulting in more efficient security.
As for how that’s possible, engineers utilize the fundamental aspect that makes both AI function and gives modern cyber attackers purpose: data. As for how engineers use it, it’s a tool to train AI—using historical data to identify new and emerging threats by analyzing patterns, user behaviors, and fraudulent activities. Let’s examine the following three industries and how this technology could benefit them.
Bank and financial institutions can use AI within their cybersecurity to detect and prevent fraud, such as credit card fraud and identity theft.
With the constant monitoring capability, other malicious activities like money laundering and unauthorized access to financial accounts can be determined through transaction data.
AI-powered fraud detection systems can learn to recognize typical behavior patterns for individual users and flag any transactions that deviate from what’s considered safe.
As a result, the finance industry can reduce the risk of financial losses, secure its client’s livelihoods and continue to be a trustworthy institution.
The prevention of patient data breaches is the key benefit of AI in healthcare organizations’ cybersecurity.
As a security tool, it can monitor network traffic and identify potential threats in real-time, such as attempts to access patient records from unusual locations or outside of normal working hours.
AI-powered intrusion systems can learn to recognize patterns indicative of a cyber attack.
The healthcare industry could continue adhering to healthcare privacy laws so that patients can seek treatment confidently and be assured of their privacy.
With various schools using different cybersecurity infrastructures to protect their students, faculty, and research, AI integration into said infrastructures could yield the benefits of eliminating unknown vulnerabilities and reducing phishing scams.
AI can also assist in triaging security risks and alerts, making it possible to respond to potential cyberattacks before they occur.
Overall, AI in cybersecurity can help the education industry improve its response time to potential threats and protect student and faculty data from unauthorized access or misuse.
On top of this, an industry’s cybersecurity could handle what comes their way due to the flexibility of AI because it can be integrated with other complementing technologies like Intrusion Detection/Prevention Systems, Virtual Private Networks (VPNs), and encryption technologies. Furthermore, these three industries are only a handful. Others like retail, manufacturing, transportation, and more would have the same kind of benefits.
The societally transformative nature of technology, especially when looking at computers, has never been more present than in the past couple of decades. How we communicate, interact, and engage with services has fundamentally changed. We’ve become data-driven, and these newer, more complex issues come alongside those changes. Cyberattacks have become more frequent; as we’ve seen over the years, no one is free of their damage.
However, we can combat these challenges with a cutting-edge game-changer: AI. By training AI algorithms to recognize and respond to specific threats and attack vectors, engineers and businesses can create tailored security systems better equipped to defend against a range of potential cyberattacks, securing employee and client information and safeguarding business reputation.
Chetu, Inc. does not affect the opinion of this article. Any mention of specific names for software, companies or individuals does not constitute an endorsement from either party unless otherwise specified. All case studies and blogs are written with the full cooperation, knowledge and participation of the individuals mentioned. This blog should not be construed as legal advice.
Chetu was incorporated in 2000 and is headquartered in Florida. We deliver World-Class Software Development Solutions serving entrepreneurs to Fortune 500 clients. Our services include process and systems design, package implementation, custom development, business intelligence and reporting, systems integration, as well as testing, maintenance and support. Chetu's expertise spans across the entire IT spectrum.
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