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Source AlienVault.webp AlienVault Blog
Identifiant 922303
Date de publication 2018-11-27 14:00:00 (vue: 2018-11-27 16:02:42)
Titre Security Orchestration, Automation and Response (SOAR) - The Pinnacle For Cognitive Cybersecurity
Texte The cognitive tools/technologies of machine learning (ML) and artificial intelligence (AI) are impacting the cybersecurity ecosystem in a variety of ways. Applied AI machine learning and natural language processing are being used in cybersecurity by both the private and public sectors to bolster situational awareness and enhance protection from cyber threats. The algorithmic enablers that make ML and AI pinnacles of cybersecurity are automation and orchestration.  Last year, the research and analyst firm Gartner created a term called SOAR. It stands for Security Orchestration, Automation and Response. A key element of SOAR has been the automation and orchestration elements. An excellent analysis of the impact of automation was provided by Stan Engelbrecht in his column in Security Week called The Evolution of SOAR Platforms.  Stan noted “as SOAR platforms evolve, they are requiring less experience from users. Vendors embed security expertise into the products, in the form of pre-built playbooks, guided investigation workflows, and automated alert prioritization.  Automation and orchestration features have also reached a level of sophistication where they can be integrated into an existing security framework without relying on users to know exactly what should be automated.” Indeed, SOAR and corollary cybersecurity automation technologies combined with ML and AI tools can be viewed as a strong framework for mitigating evolving threats. AI and ML have emerged into new paradigms for automation in cybersecurity. They enable predictive analytics to draw statistical inferences to mitigate threats with fewer resources. In a cybersecurity context, AI and ML can provide a faster means to identify new attacks, draw statistical inferences and push that information to endpoint security platforms. Three significant factors are heightening their risk:   1) Skilled Worker Shortage: It is widely noted that the cybersecurity industry is facing major skilled worker shortages. According to data published on Cyberseek, U.S. employers in the private and public sectors posted an estimated 313,735 job openings for cybersecurity workers between September 2017 and August 2018. That's in addition to the 715,000-plus cybersecurity workers already employed. It is not just a U.S. problem, but a global problem and the demand for skilled workers to address the growing prevalence and sophistication of cyber-threats is growing exponentially. 2) Expanding Digital Connectivity: The expanding connectivity of the Internet of Things (IoT) has greatly increased cyber vulnerabilities. IoT refers to the general idea of devices and equipment that are readable, recognizable, locatable, addressable, and/or controllable via the internet. This includes everything from home appliances, wearable technology and cars. Gartner predicts that there may be nearly 26 billion networked devices on the IoT by 2020.  The numbers of devices provide a larger attack surface with more targets for cyber criminals and makes defending networks and endpoints even more difficult. 3) Sophistication of Adversaries: Cybersecurity criminals are using machine learning techniques to discover vulnerabilities on their targets and to automate their own attacks (with increasing success). They often share tools available on the Dark Web and hacker attacks are now faster, more calculating, and more lethal. The threat actors are many and varied including nation states, criminal enterprises, and hacktivists.    
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