The transition to a digital-first society in the aftermath of the continuing epidemic has presented its own set of problems. And the top of the list is cybersecurity risk. Organized cybercrime in the form of malware and ransomware assaults is on the increase nowadays. Even the overall number of daily security warnings that organizations must deal with is increasing. Over 6.07 lakh cyber security events were reported in the first 6 months of 2021, according to CERT-In.
According to Cisco research, 70 percent of Indian companies observed a surge in assaults of more than 25 percent during the epidemic. As a result, as the danger surface expands, organizations must develop security policies around what we know is coming in the future. When all stakeholders—whether workers, consumers or any other entity involved in the supply chain—are totally spread, it is humanly impossible to protect all endpoints.
As a result, intelligent cybersecurity automation is essential for creating an effective security architecture that protects the company from emerging threats. According to Cisco research, 77% of businesses intend to enhance automation in their security ecosystems during the next several years.
The importance of automation in keeping up with the ever-changing danger landscape
With today’s continual barrage of cyber-attacks and complicated corporate architecture, a successful security program necessitates the proper combination of components. To allow security teams to take control of their surroundings and schedules through more proactive defenses, analytics, intelligence, and automation are required.
Not only is reviewing all alarms time-consuming but correcting the anomaly risks slowing down the system. As a result, the possibility of operational disturbance cannot be ruled out. Intelligent cybersecurity automation can aid in the detection of undiscovered threats and policy breaches, as well as the reduction of alert fatigue in security teams. Furthermore, it can give organizations the best solution at the lowest possible cost.
Security automation and orchestration (SOAR) solutions, robotic process automation (RPA), and custom-developed software and code that automate operations and do the analysis are all examples of cybersecurity automation tools. Whatever cybersecurity automation a company implements, it must be a comprehensive strategy that filters data from each endpoint. To be really intelligent, the automation system should be powered by artificial intelligence (AI), machine learning (ML), and data analytics.
While AI delivers superior decision-making insights, ML identifies risks by continually monitoring network behavior for abnormalities. It also allows users to identify ‘bad neighborhoods’ online, preventing them from accessing dangerous websites. As a result, companies should embrace automation solutions that combine analytics, intelligence, and automation under one umbrella, as there is no longer space for human mistakes.
Automation in cybersecurity cannot be a last-minute consideration; it must be a top priority.
Enterprises must be proactive in detecting risks as hostile groups undertake cyberattacks on organizations for financial gain or to generate reputational harm. Cybersecurity Automation can help a lot in attaining this goal. Intelligent automation is required to implement a Zero Trust Security architecture with protected endpoints.
Automation also offers clear benefits such as reduced costs and increased operational efficiencies. An automated incident management response enables speedier data gathering, making the process more dynamic, consistent, and efficient.
Furthermore, any solution is driven by AI, ML, big data, as well as other digital technologies deliver superior insights from data sets and identify patterns that are often invisible to the human eye. As a result, automation leads to improved analytical capacities in terms of danger perception. Bots, on average, make fewer mistakes than humans. The decision-making process is also organized, with no human components, and it identifies flaws that may be addressed with concrete measures for improved security.
While adopting automation leads to increased process efficiency, execution is the key to reaping all of the benefits. As a result, before beginning on an automation journey, the enterprise’s maturity level, the resilience of its IT infrastructure, and the difficulties required in integration should be assessed. Furthermore, rigorous testing prior to full-scale adoption is required to minimize interruption.
Actors change, but dangers do not.
Cybercrime costs companies $6 trillion in global losses, according to research by Cybersecurity Ventures. More cloud-based apps will enter our lives as the epidemic increases the pace of digital change. Cyber dangers will only increase in a connected world. As a result, organizations should take a comprehensive and intelligent security automation strategy as they traverse the changing threat landscape.
