AWS Lambda Features and Security

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As technology advances, so does cybercrime. Hackers find increasingly sophisticated ways to compromise IT systems and applications. Organizations are in a position to take more proactive approaches to cybersecurity. Chief Information Security Officer (CISOs) and security experts are seeking ways to improve data security methods, to attain scalability and cost efficiency. In 2014, Amazon Web Services (AWS) released a feature called AWS Lambda, which allows hundreds of thousands of AWS customers to scale their applications. With this new approach comes reductions in time and costs, and enhanced responsiveness to scalability.

Nowadays, AWS Lambda is one of the many valuable services offered by AWS. This serverless service can run codes for such activities as HTTP requests, process data in Amazon S3 buckets and make changes to AWS Step Functions. Security architects can upload and configure their codes, while Lambda is responsible to run the codes with high accessibility to incorporate other AWS services that allow users to create automated serverless applications.

Why is AWS Lambda So Important for Security?

With Lambda, CISOs and security groups can release the haste of their applications while achieving a controllable and scalable infrastructure. Lambda runs codes on extremely accessible infrastructure scattered across various convenience areas in a district, effortlessly implementing code, and offering all the management of the infrastructure.

Lambda also monitors its functions and can report through Amazon Cloudwatch. AWS Lambda oversees scaling of many tasks by running event generated code and managing each event separately. It enables users to apply machine learning functions with pre-qualified prototypes, which provides artificial intelligence functionality.

Lambda supports security developers through AWS Serverless Application Repository to determine, organize and issue serverless applications. AWS Lambda can integrate with other AWS services to offer you an ample environment for building serverless applications.

Security and Shared Responsibility in AWS Lambda

AWS customers take advantage of one of the world’s biggest data centers and network designs created to meet the needs of big corporations while protecting sensitive data on the cloud. Having said this, it becomes clear that security in the cloud at AWS is their main concern.

Security is a shared responsibility between AWS and users. This shared responsibility prototype explains this in two parts: security of the cloud and security in the cloud. ThreatModeler can help with the security.

With security of the cloud, AWS is accountable for safeguarding the AWS services in the AWS Cloud ecosystems. AWS also gives users services they can deploy steadily. With Security in the cloud, on the other hand, the responsibility of security experts is determined by the AWS service they utilize. Users are also accountable for other aspects involving the protection of sensitive data, business obligations, and relevant laws and rules.

AWS is liable for defending the overall infrastructure running all AWS services. AWS keeps control over data on this infrastructure, comprising the security design controls for managing user’s sensitive data. AWS customers are fully accountable for any private data they store in the AWS Cloud. To protect sensitive data, it is recommended to protect AWS account login information and set up personal user accounts with AWS Identity and Access Management (IAM), so that each customer is provided only the authorizations needed to meet their task duties.

Securing AWS Lambda Infrastructure

AWS Lambda is sheltered by the AWS international network security practices in Amazon Web Services. Lambda offers a powerful toolkit for building secure and scalable applications. Many of the best practices for security and compliance in AWS Lambda are the same as in all AWS services, but some are particular to Lambda.

Besides all the benefits Lambda offers to AWS customers, its managed environment and allows for improved performance and scalability. When securing applications in the AWS cloud, Lambda is responsible for monitoring and assessing, and protection and submission best procedures. Security architects and groups contemplating their next deployment need to consider the potential AWS Lambda has on enhance their next workload solution.

ThreatModeler to Ensure Sensitive Data Protection

Threat modeling allows organizations to prevent irregularities and variations in data that may make them susceptible to threats. Threat modeling can prevent liabilities that may occur. Threat modeling helps organizations to better understand their attack surface – including the vulnerabilities involved – to make informed decisions and manage risk.

ThreatModeler has taken the reasoning out of the equation with its innovative, automated platform. ThreatModeler enables security teams to build threat models out of the box with content libraries that pull updated content from reliable sources including OWASP, CAPEC, AWS and Azure. To learn how ThreatModeler can help your organization to achieve data with security and integrity, schedule a live demo. You can also contact us to speak with a threat modeling expert.

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