Adaptive Security is a real-time security model or approach that continuously investigates behaviors and events to protect against the threat and adapt to the threats accordingly before they happen.The primary goal of adaptive security is to create a feedback loop of threat visibility, threat detection, and prevention that consistently becomes more effective. It consists of four major categories of competence: prevention, detection, Responsiveness, and Prediction.
The primary targets of listed cyber attackers or threats are enterprises, government, military, or other infrastructural assets of a nation or its citizens. Click to explore about, Artificial Intelligence in Cyber Security
Prevention is the first necessary step that allows enterprises to create products, processes, and policies to prevent attacks. It takes care of judging whether an object is safe or malicious and take step accordingly. It can be done through firewalls, signature-based engines, and proactive technologies using machine learning. This step blocks almost 99% of threats, but what about the remaining 1% threats? This 1 % is doing the most massive damage to businesses.
In this step, security solutions are configured not to block threats themselves. Still, they serve to detect and report suspicious activity, and later they can be managed by skilled infosec professionals. It includes behavioral dynamic code analyzers and analytic systems. Here the aim is to diminish the time taken for threats to be detected and stopping potential risks from becoming actual risks.
Respond is the most logical step in Adaptive Security Architecture. In this step, we will define what measure to take and how to respond to the specific type of threats that are not being stopped by the high layer. By investigating incidents and proper analysis, an ASA can respond accordingly to a threat, whether through a design or policy change. More specifically, this step does investigate incidents, design policy changes, conduct retrospective analysis.
The prediction layer feeds IT teams with alerts about external events. By monitoring attackers' activities, this layer also anticipates new types of attacks and provides information that further enhances the prevention and detection layers.
The process of protecting the networks, computer systems, and programs from any cyber or digital attacks. Click to explore about, The Ultimate Cyber Security Checklist
A hybrid cloud service platform. It supports a wide variety of operating systems, computing languages, architectures, resources, applications, and computers. Click to explore about, Azure Security Services and Security Checklist
Designing an adaptive security architecture has always been challenging since its inception due to the below-mentioned reasons:
Adaptive Security allows for early detection of the security breach and an automatic, autonomous response whenever a malicious event occurs. As cyber threats and other security and hacking attack methods are becoming advanced day-to-day in their attack method and their automation, businesses also need to adapt their handling methods and prevent such attacks as useful as possible. Apart from its fundamentals benefits, adaptive security has more to give:
It's a continuous process and evolves according to the threats.
Reduce the attack surface area, making someone's service and product less prone to vulnerabilities.
Shortened the recovery time
Due to the rapid adoption of IoT, Big Data, and Analytics, the risk of security increases, resulting in some new approach other than the traditional security approach to prevent such threats.
Integrating ML and AI with ASA can result in advanced analytics. This can detect security breaches that would not be obvious by monitoring the system alone.
Adaptive security has lots of advantages over the traditional security approach. According to their network's design, it all depends on the organization's size and adaptive security implementation. Let's see some of the benefits of adaptive security:
Reduces the surface area for the attackers
Responsive to attacks that result in the reduction of remediation time
Decrease the rate of attacks
Recognize ongoing security breaches
Continuous monitoring and response in real-time
Limit the data theft and damage
The unified monitoring solution in Azure that provides full-stack observability across applications and infrastructure in the cloud and on-premises. Click to explore about, Continuous monitoring with Azure Monitor
Nowadays, organizations and security professionals face a combination of challenges, including undefined perimeters and continuously evolving security aspects. New problems may consist of the evolution of the Internet of Things and IoE, the transition from IPv4 to IPv6. Due to the emerging of such new trends and most of the previous attacks the market has seen in the past few years, there is one common thread, i.e., the attacker has penetrated the traditional perimeter defenses show traditional log event management tools.
Monitoring practices are becoming increasingly insufficient. The firewall or IPS monitors the communication between devices and tries to spot an attack in the traffic based on having seen such an attack before, which is not a much intelligent defense where attacks are becoming automated and smarter. Organizations must shift their security mindset from 'incident response' to 'continuous response' by adapting the Adaptive Security Architecture (ASA).
Cybersecurity threats are becoming unfortunate in every day of life. Organizations today are looking for solutions that empower them to predict, prepare, and react proactively to the shifting landscape of cyber threats. Implementing adaptive cybersecurity policies is becoming inevitable to achieve the goal. So what necessitates cybersecurity to be adaptive?
As technology develops and develops over time, the cyber threats we face will also evolve and become more advanced. Earlier, the risks and attacks were much rarer, so cybersecurity systems were beneficial. But now, those systems are completely outdated. Therefore, to keep up with evolving threats, cybersecurity systems need to adapt to different scenarios and environments quickly. Business and cybersecurity teams may not predict the future, but they can prepare for it.
As far as our data is shifted to the cloud, the chances of attacks increase day by day, i.e., the more and more of our work is being moved online, the number of access points for those looking to gain unauthorized access is increasing day by day. One of the main issues is securing the IoT devices, as IoT devices' growth surrounds today's environment. Therefore, to solve these problems, adaptive security will need to implement to protect business network assets, and it also helps to secure personal devices.
The primary targets of listed cyber attackers or threats are enterprises, government, military, or other infrastructural assets of a nation or its citizens. Click to explore about, Artificial Intelligence in Cyber Security
IT systems must be capable of sophisticated pattern matching techniques to identify normal and abnormal behavior in code, command, communication protocols, etc.
A sacrificial IT system – a system or virtual machine instance that can be eliminated if necessary – represents the concept of disposability in an IT infrastructure. Disposability enables flexibility that contributes to the overall robustness of the infrastructure.
An IT system must support the capability to recognize and respond automatically to abnormal behavior or known threats. The intention of using an adaptive approach to security design is to anticipate threats before they manifest themselves.
DevOps Security Operations entirely focuses on securing applications and integrating the security in the DevOps process. Click to explore about, What is DevSecOps and its Benefits?
We see adaptive security and its importance in today's IT areas where everything is becoming automated. We should look at this new security approach, which is more beneficial and effective than the traditional security approach. But it's not as easy as it looks, as an effective ASA requires robust solutions that include several features and security measures for predicting threats and preventing threats. The adaptive security solution should offer 24/7 visibility and threat alerts. We can integrate AI and ML for better predictions and robustness and then adopt it in the DevOps cycle.
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