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GENERATIVE AI AND CYBERSECURITY ARE THEY GOOD BAD?

The global cybersecurity landscape looks promising with the overwhelming inclusion of technology in securing virtual data and spaces. No doubt, the world is looming under the threat of cyber hacking and virtual thefts becoming widespread. It has led to a drastic shift toward securing cyberspaces with stringent AI tools and Generative technology advancements.

Generative AI has been an incredible partner in leveraging top-notch security benefits for digital corporate spaces worldwide. The generative AI market size is expected to record a CAGR of 31.5%, with a marked score reaching USD 1.3 trillion by 2032 (as per Bloomberg). Another record from the Grandview Research showcases the APAC Generative AI market size yielding a CAGR of 36.5% through 2030.

With the rise of Artificially intelligent devices and technologies; it has allowed enough space for threat actors to intrude into the secure zone of an organization and launch attacks. OpenAI’s Chat GPT and many other variants have opened gateways to cybercriminals; leaving cyberspaces highly vulnerable.

In the wake of these heinous cybercrimes, it has become imperative for every corporate giant to invest in a pool of specialized cybersecurity experts who can leverage high-end security strategies to work for the greater good. Building a cybersecurity wall against these malicious web attackers is the need of the hour to yield efficient tools and to target these attacks with top-class cybersecurity skills.

Let us understand the world of Generative AI, newer inventions, and how it poses a double-edged sword for the cybersecurity sector worldwide.

Understanding Generative AI:

Generative AI harnessed the realms of machine learning and artificial intelligence. It is beyond just being an alteration approach to designing education and most other sectors. Gen AI has played a pivotal role in becoming a game-changer in revolutionizing industries beyond measure.

Generative AI models combine AI algorithms to represent and process content. In order to generate effective text, Natural language processing techniques transform raw characters into sentences, parts of speech, entities, and actions as vectors using multiple encoding techniques.

Understanding Large Language Models:

Although, generative AI and large language models are a novel addition to the tech-relay. Global organizations are still grappling with ways to use them responsibly. Topping it, cybersecurity specialists are working to their bones to recognize the inherent potential of Generative AI.

Large language models are trained deep learning models that comprehend and generate text in a human-like manner. These AI algorithms utilize deep learning and large data sets to infer, summarize, and predict new content. There have been multiple revelations of large language models, the list includes GPT-3, GPT-4 from OpenAI, LLaMA from Meta, and PaLM2 from Google. These incredibly equipped large language models assist robots to interact with humans, understand, and interpret their environment; in order to execute complex tasks.

Is Generative AI a Looming Threat?

Attackers have mastered the tricks of the trade. With every next evolution, AI technology is faced with an ever-smart cyberthief community. Cybercriminals are using AI to carry out a variety of sophisticated attacks, from data poisoning to deepfakes. Cybersecurity organizations are increasingly relying on Artificial Intelligence to help flag suspicious data and detect or thwart attacks.

Antivirus protection, data loss prevention, fraud detection, identity and access management, intrusion detection, risk management, and other core security areas are covered under Cyberdefense. Unfortunately, cybercriminals are relentless and resourceful. They are using AI for their benefit by:

  • Social Engineering schemes
  • Password hacking
  • Deepfakes
  • Zero-day vulnerabilities
  • Data Poisoning

Forward Securing Cyberspaces Amidst AI Advances:

Cybersecurity experts are trained to defend against any malicious cyberattacks. Quality cybersecurity certifications are loaded with efficient tools and strategies to counter cyber thefts with foolproof results. It is time to cautiously move forward to counter digital attacks. Artificial Intelligence can lend itself beneficial when properly incorporated into a robust cybersecurity plan; given its innate capabilities to analyze humungous datasets. AI can be trained to identify malware, suspicious network traffic, and vulnerable systems.

Forbes reflects upon Cybersecurity Ventures quoting the cost of cybercrime to hit USD 8 trillion by this year and is expected to grow to the mark of USD 10.5 trillion by 2025. Another reveal from Accenture’s cybercrime study showcases that nearly 43% of cyberattacks on small businesses. On average, small, and medium businesses spend between USD 826 and USD 653,587 on cybersecurity incidents (as per Astra Security). This clearly shows the eagerness at both ends. As the cyberattacks grow in number, the spending from the corporates grows in the same proportion.

If these numbers move you in any way, and you are keen on making a difference in the way the world counter cyberattacks, the time is ripe to invest in top cybersecurity certifications; brimming with capabilities and skillsets to counter and defend cyberattacks like a pro. Also, it is worth noting that the remuneration in the field of cybersecurity specializations is boundless. Glassdoor shows the average salary for a cybersecurity specialist sits at USD 1,05,501 annually in the USA. Take the right decision and begin a thriving career in cybersecurity today!

 

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