Bridging AI Skills Gap In The Evolving Cyber Security Landscape

19.04.21 04:46 PM By Aishwarya

Why AI Is The Future Of Cyber Security

New Delhi, India

As technology becomes more advanced, cyber crime has never been a more prominent threat to businesses and other professional organisations. The cyber-security skills gap may be a widely discussed topic, and permanent reason. The global deficiency in experienced security professionals is stunting advancement within the cyber security industry and leaving individuals and businesses vulnerable to potentially catastrophic attacks.

Keeping the right pace with the ever-advancing threat landscape is supreme and, in the midst of a snowballing skills scarcity, the cyber security industry is embracing Artificial Intelligence as one of the weapons in its arsenal moving towards growth.

Globally, the AI cyber security job market will witness 3.5 million unfilled cyber security jobs by 2021 according to The New York Times. ... A recent Synack Report claims that combining cyber security talent and AI-enabled technology leads to 20x simpler attack surface coverage than traditional methods

Artificial intelligence (AI) talent is difficult to find today, and few industrial companies have enough in-house AI talent who has deep learning in the AI domain. AI will transform many roles , and corporations should give every employee the knowledge they're going to got to adapt to new AI-enhanced roles by training them. AI resources help implement new business models and better services, but user acceptance is required when it is concerned with virtual security and information. During the last decade, AI design, development and implementation has expanded in many sectors. Organizations are battling AI business potential understanding and with finding AI talent.

Artificial intelligence can provide security, which enhances the built-in security in niche products of the organization. It will also help the organisation to keep a real-time check on its employees accessing business data by data analysis.

The AI skills gap: not just a recruitment challenge

Relying on one or two individuals to oversee the strategic implementation of both the technical and business aspects of AI technologies is unquestionably unsustainable in futuristic terms. Operationalizing AI involves much bigger questions across the organization. There is not just a broad shortage of technically-oriented machine learning skills. The AI skills gap extends much further, to a general shortage of AI literacy and strategy among vital business functions and personnel within organizations.

Whether you’re in the driving seat of a Fortune 500 corporation, or you’re the CIO of a business with international reach, recruiting the right AI talent is going to be difficult, but not impossible. Assume, now, that you’re able to recruit those one or two AI experts, and you’re confident about moving forward with integrating AI technology as a neighborhood of your business operations and strategic considerations. The real challenge has really barely begun—recruitment alone isn't getting to get your organization to the extent it must be so as to profit from the huge gains promised by AI.

AI Helps Streamline Threat Identification, Investigation and Remediation

An effective way to improve SOC analyst productivity and effectiveness and reduce dwell time is to leverage artificial intelligence (AI) to identify, analyze, investigate and prioritize security alerts.

AI in cybersecurity are often used as a force multiplier for security analysts by applying it on to the investigation process. Through the appliance of analytics techniques, like supervised learning, graph analytics, reasoning processes and automatic data processing systems, security teams can reduce manual, error-prone research, make investigation outcome predictions (high or low priority, real or false), and identify threat actors, campaigns, related alerts and more.

Using AI to Build a Virtual Security Analyst

Fortunately, AI (AI) and machine learning (ML) are poised to assist resolve these issues. ML already supports things like behavioral analytics, the detection of zero day threats, and therefore the detection of threats hidden inside correlated data. The advent of deep neural networks has improved the detection of threats comprised of billions of nodes with its mature AI capabilities. Fortinet’s FortiGuard Labs threat research team has been leveraging mature AI for years to not only detect threats within the wild, but also provide deep insights into its origins and threat vectors.

As organizations are forced to operate exclusively in reactive mode, they position broad-brush security tools to close the most common avenues of known attacks on big data. Sometimes having to attend until an attack was actively targeting their devices and systems so as to repel them, or far too often, pack up the mess after a stealthy attack was able to break into their system and get out with the data it was looking for can be very dangerous for the company.

Address Your Skills Gap Challenges Now While Preparing for the longer term 

The skills gap remains a growing challenge for organizations. One way organizations are tackling this is by having all employees, not just IT professionals, take cyber security and data science training. It’s important for everyone to have cyber security awareness and understand the threat landscape to minimize risks at a great extent.

In addition to having a trained and knowledgeable workforce, AI-based security stands to play an increasingly crucial role in supporting the skills needed by digital innovation efforts. The smart businesses, cities, and infrastructures of tomorrow will all require AI-based security analysis and response to debar the speed and class of the threats of tomorrow.

AI and automation won't replace employees, but they're going to empower organizations. Modern technology aid you in a way by which you can secure your big data from malwares you can also use software like Bitdefender, Kaspersky, Quick Heal, Norton and many such Anti-virus software which is also is a result of AI technology. With AI and automation delivering intelligent self-service and automating repetitive tasks, employees can focus far more on the problems that need significant attention and focus. Below are just a couple of ways companies can implement AI and automation to make sure there are not any gaps in cybersecurity within the midst of this talent shortage.

Retraining and re-skilling of employees

Another way of bridging the cyber security skills gap can be by retraining and re-skilling employees. The necessary cyber security training should include cyber security professionals as well as employees belonging to various departments with heavy mathematics requirements such as IT, finance, and business operations, thus helping enterprises to retrain the best math and data people to battle sophisticated cyber attacks. This helps save costs incurred in hiring, in case acquiring the talent from outside is enviable. Job satisfaction and competitive incentives will work as miracles for the employees hard work.

Organizations should also establish a culture that promote, encourages, and supports robust cyber security measures. The commitment should first begin from the top management and increase awareness among its employees at every level that a single cyber attack can have repercussions on all the aspects of business.

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