With more and more enterprises using AI and cybersecurity for their needs, it’s time to look the possible ways of implementation of AI in the cyber security field.
Every emerging technologies have their own cybersecurity issues and in the due process of never-ending cycle of security challenges, the complexity and volume of cyberattacks have increased. With more and more enterprises using Artificial Intelligence (AI) and cybersecurity for their needs, it’s time to look the possible ways of implementation of AI in the cyber security field. Security professionals and experts can take the strength of Artificial Intelligence with cybersecurity and additional resources to defend vulnerable networks and data from cyber attackers.
One of the biggest reasons why employing AI will be so critical this year is that doing so will likely be unavoidable. AI is being built into security tools and services of all kinds, so it’s time to change our thinking around AI’s role in enterprise security.
The Accenture Security Index found that more than 70% of organizations worldwide struggle to identify what their high-value assets are. AI can be a powerful tool for identifying these assets for protection. The quantity of data that has to be sifted through to identify security threats is vast and growing. Fortunately, Artificial Intelligence is well-suited to processing huge data sets and eliminating false positives. Additionally, rapid in-house software development may be creating many new vulnerabilities, but Artificial Intelligence can track errors in code far more quickly than humans. To adopt Rapid Application Development (RAD) requires the use of AI for bug fixing.
Complex hacking techniques, such as obfuscation, polymorphism, and others, make it a real challenge for the security experts to identify malicious programs. Besides, paucity of security experts with domain-specific workforce is another issue. With AI stepping into cybersecurity, security experts and researchers are trying to use its potential to identify and counteract sophisticated cyber-attacks with minimal human intervention. Artificial Intelligence networks and machine learning, a subset of Artificial Intelligence, has enabled security professionals to learn about new attack vectors.
Like any other cybersecurity solution, AI is not 100% foolproof. It is a double-edged sword with the ability to limit cyber-attacks and automate mundane routine tasks, and yet, it’s a blessing. The automation wave will take over everyday tasks while the same technology will increase the chances of fewer human errors and negligence.
The Road Ahead
In near future, AI-powered systems will be an integral part of cybersecurity solutions. It will also be used by cybercriminals to harm organizations. This will leave AI using automated programs susceptible to advanced threats.
In spite of being a security risk to the businesses, Artificial Intelligence will continue to minimize the routine security responsibilities with high-quality results. AI automation will be able to identify recurring incidents and even remediate them. Artificial Intelligence will also be able to manage insider security threats and device management.
Now that cybersecurity and Artificial Intelligence is mainstream in the enterprise sector, it’s time to stop treating AI in isolation that solves every problem and start understanding its everyday necessity in the new cybersecurity landscape. 2020 is the year large organizations will come to rely on Artificial Intelligence for cybersecurity.