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Artificial Intelligence (AI) has emerged as a double-edged sword in the realm of cybersecurity, offering immense potential to bolster defenses and creating daunting challenges that can exacerbate vulnerabilities. As businesses and organizations increasingly rely on digital infrastructure and data-driven processes, the role of AI in cybersecurity becomes crucial.

Historically, the term ‘artificial intelligence’ was first coined in the mid-1950s during a workshop held in Dartmouth by John McCarthy, a U.S. computer scientist, but the concept had already surfaced in 1921 when a Czech playwright introduced the notion of “artificial people” in a production entitled Rossum’s Universal Robots.

“AI has been around for a long time and has just scaled to what it is today, and is definitely something businesses are catching on to,” says Nick Lewis, CEO and Director of ShockproofIT, referring to AI and the issues surrounding its use. 

On the positive side, AI is now a daunting ally in the fight against cyber threats due to its ability to process vast amounts of data at lightning speed which enables AI-powered systems to accurately detect anomalies and patterns indicative of malicious activities. Machine learning algorithms can analyze historical data to identify evolving attack courses, allowing for proactive defense measures. 

“AI can really speed up the process and can look at the path of an infection from the root file all the way up to the end user,” says Nick. “AI can help investigate that path and how it’s happening, locating where the broken or infected link is so you can troubleshoot further.”

Insights offered for emerging threats

As well, AI-driven threat intelligence platforms can provide real-time insights into emerging threats, empowering organizations to stay one step ahead of cybercriminals. And for those who’ve already experienced an attack, it can also provide a detailed report of the incident for auditing purposes.

“AI can help you provide some verbose notes and data for creating reports about any attacks,” he says. “It can help you build that out.”

On the negative side, the proliferation of AI also introduces new challenges and risks to cybersecurity as cybercriminals continue to increasingly harness AI-powered tools and techniques to launch sophisticated attacks that can evade traditional security defenses. 

“Cybercriminals can analyze and collect data much quicker now and identify other avenues and trajectories of attack,” says Nick. “Criminals can also create new and sophisticated, and original targeted phishing attacks that wouldn’t otherwise be possible without the help or aid of AI.”

As well, AI can also assist cybercriminals in creating malware that contains new vulnerabilities and then bypasses detections, he says.

Barrier lowered for novice hackers

Couple this with the fact the democratization of AI technologies has lowered the barrier to entry for cybercriminals, enabling even novice hackers to leverage AI-driven attack tools with devastating consequences, means even more threats for businesses. 

To combat potential threats, Nick recommends businesses conduct thorough research when it comes to boosting their cybersecurity systems.

“You have to do your research so you can make an informed decision before you implement anything, especially something like AI,” says Nick, who also recommends talking with someone who is knowledgeable when it comes to AI-powered systems. “Talk to a professional, or someone who has been using it for a long time in many different markets and knows it from a core fundamental aspect.”

But more importantly, he recommends having a security professional audit the needs of your business to ensure you implement any AI property, safely, and effectively.

“How does your organization and your day-to-day operations work? What do you do and don’t do? What kind of logistics are going on?” says Nick. “From there, you can build a solid plan based on those things.”

Tips for leveraging AI in business cybersecurity:

Understand your cybersecurity needs: Before adopting AI solutions, assess your organization's cybersecurity posture, identify key vulnerabilities, and determine specific areas where AI can make the most impact, such as threat detection, incident response, or user authentication.

Choose the right AI technologies: Select AI technologies that align with your cybersecurity objectives and capabilities. This may include machine learning for anomaly detection, natural language processing for threat intelligence analysis, or robotic process automation for automating routine security tasks.

Invest in quality data: Ensure that your cybersecurity data is accurate, relevant, and representative of potential threats and attack scenarios. Invest in data quality assurance processes and data governance frameworks to maintain the integrity and reliability of your data.

Employ AI-driven threat intelligence: Leverage AI-powered threat intelligence platforms can analyze vast amounts of data from diverse sources, including open-source intelligence, dark web forums, and security feeds, to provide actionable intelligence for proactive defense.

Implement AI-driven anomaly detection: Deploy machine learning algorithms to monitor network traffic, user behaviour, and system activities for anomalies indicative of malicious activities. 

Enable AI-driven incident response: Automate incident response processes using AI-powered orchestration and automation tools which can analyze security alerts, prioritize incidents based on severity and impact, and execute predefined response actions to contain and mitigate security breaches more efficiently.

Ensure transparency and accountability: Maintain transparency and accountability in AI-driven cybersecurity initiatives by documenting processes, methodologies, and decision-making criteria. 

Stay informed about AI advancements and best practices: Keep abreast of the latest developments in AI technologies, cybersecurity trends, and best practices through continuous learning and engagement with industry forums, conferences, and professional networks. 

Balance AI automation with human oversight: While AI can automate routine security tasks and augment human capabilities, it is essential to maintain human oversight and intervention where necessary. 

Regularly evaluate and adapt your AI cybersecurity strategy: Continuously monitor the performance and efficacy of your AI-driven cybersecurity initiatives and make adjustments as needed based on evolving threats, technological advancements, and organizational requirements.