The gap between digital vision and reality has plagued many enterprises, but an important factor causing this gap has been ignored by many managers, that is, enterprises have failed to establish proper digital security and compliance systems. The acceleration of application iteration, the rapid expansion of data, and the various difficulties encountered by enterprises on the cloud-native road, combined with the limited manpower and resource constraints of the digital security department, make today's enterprises face unprecedented information security challenges.
As the world's leading cloud service provider, Amazon Cloud Technology has always attached great importance to security and compliance, and is committed to providing enterprises with security and compliance as a key business fulcrum through a series of products and services. At the just-concluded re:Inforce 2023 Global Conference, Amazon Cloud Technology released a number of innovative achievements, built and improved security compliance solutions for global enterprises, and showed the world how Amazon Cloud Security Culture can help enterprises achieve Digital transformation goals.
Use "infrastructure security compliance" + "cloud security culture" to build a moat for enterprises
Against the backdrop of exponential growth in data volume, today's enterprises increasingly rely on the cloud to store, analyze and process massive data resources. Because of this, cloud security is becoming more and more important to enterprise business. Once cloud data encounters risks such as leakage, malicious use, and fraud, it will pose a major threat to the business and even survival of the enterprise, and may also cause serious negative social impacts. For this reason, China, the United States, and the European Union have all introduced strict cloud data regulatory laws, requiring cloud service providers and enterprises to attach great importance to cloud security and take effective measures to deal with growing security challenges.
At this re:Inforce 2023 global conference, Amazon Cloud Technology once again emphasized its own cloud security culture, and showed many related technical details and implementations. Amazon Cloud Technology has proved to everyone that as a cloud service provider, it also has top-level Excellent security compliance capabilities can build a broad moat for enterprise business.
The security of Amazon cloud technology starts with a secure global cloud infrastructure, and enterprises regardless of size can get a consistent cloud security experience. Broadly speaking, Amazon's cloud technology infrastructure is not only built and managed according to security best practices and the highest standards, but also considers the unique needs of the cloud, employs redundancy and layered controls, continuous validation and testing, and makes extensive use of automation , to ensure that the underlying infrastructure is monitored and protected 24/7 to meet the security needs of highly sensitive organizations such as multinational banks.
In addition, Amazon cloud technology needs to process a large number of API requests and log records around the world every day, with billions of tracking events, that is, the IAM service can help the access security of 1 billion API calls per second in the cloud. This means that Amazon cloud technology can detect more security threats, and generate experience in the process of quickly responding to abnormal situations in a single enterprise, deploy these experiences to automated services used by enterprises, and protect other users from the same threat or attack.
It is worth mentioning that at the re:Inforce 2023 Global Conference, Amazon Cloud Technology released three services, one of which is the easy-to-use Amazon EC2 Instance Connect Endpoint, which provides users with strict identity and resource authorization verification; The second is Amazon Inspector Code Scans For Lambda, which can expand the scanning scope of Inspector and improve the ability of the cloud to detect and handle security vulnerabilities; the third is Amazon Inspector SBOM Export, which can help enterprises automatically and centrally manage the list of constituent elements of software to facilitate Address security issues, license compliance, and increase supply chain transparency. From a third-party perspective, these services further enhance the security compliance level of Amazon's cloud infrastructure, and enable enterprises to better use cloud capabilities to improve security compliance at the application and terminal levels, and implement security compliance for internal processes culture.
"Automation and intelligence" is the general trend of enterprise IT security technology application
Now is the era of AI. Generative AI and large language model (LLM) technologies are experiencing explosive growth and have shown great application potential in various fields, and the cloud security industry is no exception. As CJ Moses, chief security officer of Amazon Cloud Technology, mentioned in his speech at this conference, "generative AI and LLM can enhance and complement existing security tools and processes, and have a significant impact on security teams."
In the past, many security tasks required intensive human input, and unknown security threats, vulnerabilities, and emergencies often relied on the experience and skills of security engineers to properly handle them. However, such a workflow is difficult to expand on a large scale, and sooner or later it will be unable to cope with the threat of exponential growth. In contrast, AI/ML technology can free the attention of security personnel from simple repetitive work, allowing security engineers to focus on solving the threat itself instead of wasting a lot of time looking for and identifying security issues.
Amazon Security Lake, launched last month, for example, automatically collects, combines and analyzes security data from more than 80 sources, making it easier for security teams to spot threats and respond to security incidents more quickly. The newly released Amazon CodeGuru Security at the Amazon Cloud Technology re:Inforce 2023 Global Conference can automatically detect behaviors and vulnerabilities that violate security policies, provide solution suggestions, and generate health status indicators. With the help of this tool, enterprise software development teams can build more secure code with less cost. In addition, the security team of the enterprise can use the newly released Findings Groups for Amazon Detective tool to correlate thousands of discrete security events through machine learning and graph technology, analyze the correlation between events, and quickly locate the root cause of the problem.
When enterprise development teams use Amazon SageMaker to develop artificial intelligence and machine learning applications, the native security functions and deviation detection functions provided by Amazon SageMaker are very valuable partners. For example, developers can use Amazon SageMaker model cards to review governance and compliance information in the machine learning lifecycle, combined with other native tools to ensure that AI products meet regulatory requirements.
In addition, Amazon cloud technology needs to process a large number of API requests and log records around the world every day, with billions of tracking events. This means that Amazon cloud technology can detect more security threats, and generate experience in the process of quickly responding to abnormal situations in a single enterprise, deploy these experiences to automated services used by enterprises, and protect other users from the same threat or attack.
The larger the amount of data and the wider the scope of business that enterprises deal with, the higher the probability of potential security vulnerabilities and compliance defects. The essence of automated cloud security services is to use intelligent technology to fill every potential attack surface, improve every compliance work, and complement the security compliance capabilities of enterprises through the huge cloud resources of cloud service providers. Amazon cloud technology is making steady progress on this path, and highly artificial intelligence innovations have created new opportunities for the industry. In the future, it is expected that more Amazon cloud technology services will use AI technologies such as LLM to help security personnel deal with more complex security compliance challenges with less effort.