HOW CAN BUSINESSES COUNTER THE CHALLENGES OF GENERATIVE AI IN CYBERSECURITY?

Many think that artificial intelligence, besides being a boon for the global economy; poses threats and challenges with every upgrade. Do you think the same? The recent update that you are experiencing on the web is powered by the Generative AI prodigy. Already, the generative AI software market is expected to grow by 124% in 2024 (Omdia.com); which is going to lead to a further expansion of the artificial intelligence landscape far and wide.

There is an urgent need for expert guidance and guards built by smart and certified cybersecurity professionals who can enable a healthy business landscape. AI in cybersecurity has gone far with enhanced capabilities and stringent threats that ruin the entire progress panorama. Let us understand what is it expected to unravel shortly and how can the negatives be managed by efficient cybersecurity strategies.

Role of AI in Cybersecurity:

• Threat Detection

With closer data analysis and learning from historical patterns, generative AI can identify new threats in real-time. The system can monitor network traffic for unusual data requests.

• Incident Response

Generative AI automates incident response systems to analyze threats and generate appropriate actions and commands.

• Threat Intelligence

Security and risk management leaders analyze and synthesize large amounts of threat intelligence data with Generative AI.

• Security Patching

Generative AI in Cybersecurity automates the identification and application of necessary software patches across an organization’s digital infrastructure.

• Other Tasks

It also facilitates automating routine tasks, making free time for cybersecurity analysts for strategic planning.

AI in Security

Positives	Negatives
·  Automated Threat-Detection-Response ·  Comprehensive Risk Assessment ·  Enhanced Compliance with AI ·  Hike in Cost Management ·  Higher Visibility and Observability ·  Vulnerability Detection and Data Maintenance	· AI and Cybersecurity Skills Gaps Exist ·  Deepfakes Enhance Social Engineering ·   Massive Cyberattacks Launched via: o   Prompt Injections o   Open-source code injection o   Data poisoning o   Model Evasion

 

How can Cybersecurity threats exploit Generative AI?

There are many ways that cyberthreats can be deployed using Generative AI.

• Threat actors use AI to crack password
• AI helps threat actors increase the number of times they launch previously successful attacks
• AI assists threat actors in bypassing cybersecurity guards
• AI helps in creating convincing voice, video, or email messages to enable fraud schemes
• Generative AI models can accidentally reveal sensitive information if they are trained on datasets that contain it
• Data oversharing is facilitated by GenAI models. It can be made available inappropriately or by providing more information than necessary, which can lead to privacy breaches
• Threat actors use GenAI to produce disinformation and false narratives to influence elections, share propaganda, and conduct fraudulent schemes

5 Popular Cyber Threats for Businesses:

1. RANSOMWARE

These are the malware attacks that have been around for decades and hackers develop newer ways to deliver them. As the name suggests, the cyber threat actors ask for a ransom amount to be paid in place of returning the stolen business content or sensitive data.

2. SUPPLY CHAIN ATTACKS

Cyberattackers use a target’s third-party vendors to gain access to sensitive resources and bypass security controls and norms.

3. CLOUD VULNERABILITIES

The rapid adoption of cloud services has outpaced cybersecurity development; leaving remote work environments and other areas vulnerable.

4. PHISHING

This is one of the common cyberattacks; that uses deceptive techniques to trick people into sharing sensitive information or performing malicious actions.

5. INSIDER THREATS

This shows the employees that pose a risk to sensitive data; intellectual property, and internal systems. Organizations can mitigate this risk by improving monitoring and detection capabilities, and appropriately training employees periodically.

How Businesses Can Guard Themselves?

Threat mitigation has become an indispensable task for businesses worldwide. With their processes and work duties going virtual; a vast amount of sensitive data gets stored in the cloud network. Safeguarding virtual data and vulnerable business information is of utmost importance. It is deemed essential for a cybersecurity analyst to be able to gauge these actions beforehand.

A set of stringent and comprehensive policies must be deployed in an organization by cyber experts who possess core cybersecurity skills gained from top cybersecurity certifications worldwide. Today, the cybersecurity talent gap sits at a staggering high. The number goes as high as 4 million cybersecurity professionals across the globe. The World Economic Forum adds to this number, another 71% of organizations have unfilled cybersecurity positions. This is a clear case of a cyber talent crunch that can be easily filled by deploying qualified, adequately trained, and certified cyber experts with the best cybersecurity certification programs.

GENERATIVE AI IN CYBERSECURITY- OUTLOOK:

The future of generative AI in cybersecurity looks promising as security professionals master and deploy powerful and targeted GenAI techniques for stronger cyberdefense systems. It is high time that organizational systems and security networks were trained and boosted with the best-suited certified task force in action. Become an elemental addition to your organization with the most trusted cybersecurity courses gracing your portfolio.