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A Reactive Approach to Security can Catch Insurers Off-guard.

On July 2018, SingHealth, the largest network of healthcare institutions in Singapore, had been under a severe cyber-attack and the personal data of around 1.5 million patients, including those of Prime Minister of Singapore, Lee Hsien Loong, was stolen. – Straits Times reports

The insurance industry is one of the richest data-driven business, and the consequences of a data breach extend far beyond the reputational damage that results from negative news headlines.

Insurance companies: An appealing target to hackers

Data is both, asset and liability, and the business of insurance is based on dealing with various uncertainties. In the past couple of years, the insurance industry performed badly in the cyber-battle. Despite having collected all the sensitive information, technology innovations and new business models caught insurers off-guard.

In September 2017, AXA suffered a cybersecurity breach in Singapore, in which the data of 5,400 of its customers were compromised. Such recent attacks highlight the fact that the companies which collect individual personal data are attractive prey for the cybercriminals.

A single security breach could cost more than a company earns in a year, however many organizations still don’t recognise the vitality of investments to combat the potential data security incidents.

Prevention of Data Breach:

Eugene Lee, director of business development at Connectivity Global, while sharing his insights to Insurance Business; on measures to be taken to mitigate cyber risks said:
“Companies which collect individuals’ personal data are an attractive target for cybercriminals and these companies should ensure that necessary steps are taken to mitigate these cyber risks.”

The insurance industry cannot afford to take a reactive approach. The insurance industry is entrusted by the customers with a vast array of non-public, personally identifiable information. By securing the customer and their financial data will not only protect the brand reputation but also add to the profitability.

To combat with the incidents of a security breach, the insurance firms must ensure that the policy and procedures relating to cybersecurity are clearly communicated to the workforce. They must formulate a sound response plan to recover their assets in case of an event of a breach.

According to the World Insurance Report 2018, Apple is partnering with CISCO, Aon and Allianz on cyber risk management solutions to protect the middle market and other enterprises from malware and ransomware.

The insurance company should prioritise its investment in efficient, professional, and specialized IT teams and consultants, to deal with new emerging threats.

A digital committee is the need of the hour for every Insurance organization.The Insurance Regulatory and Development Authority of India is requiring all insurance companies to appoint a full-time CISO. The CISO helps to understand the IT infrastructure and operations and build effective security in IT across the organization in support of business requirements and objectives.

Effective E-mail security solutions should be adopted, as over 90% of the malware are transmitted over this most common channel for business communication.
An AI approach for security in insurance is the new wave of innovation. AI adds to the power and speed required to tackle huge volumes of attacks of countless variety. One such application is Connectivity Global’s Receive Guard product, which is an AI-enabled email security solution.

No one has a crystal ball this accurate, to make future predictions as to how many data breaches we will see in the not so distant future, and how big are they going to be.
However, Insurance firms must rapidly increase their agility to adopt these new business models; to cater to the security breaches in insurance, evolving customer preferences and to deliver definitive business value.

https://www.insurancebusinessmag.com/asia/features/interviews/protecting-the-insurance-sector-from-cyber-threats-109124.aspx

https://www.businessinsurance.com/article/20180205/NEWSO6/912318975

World Insurance Report 2018

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Platform Engineering: Accelerating Development and Deployment

The software development landscape is evolving rapidly, demanding unprecedented levels of speed, quality, and efficiency. To keep pace, organizations are turning to platform engineering. This innovative approach empowers development teams by providing a self-service platform that automates and streamlines infrastructure provisioning, deployment pipelines, and security. By bridging the gap between development and operations, platform engineering fosters standardization, and collaboration, accelerates time-to-market, and ensures the delivery of secure and high-quality software products. Let’s dive into how platform engineering can revolutionize your software delivery lifecycle.

The Rise of Platform Engineering

The rise of DevOps marked a significant shift in software development, bringing together development and operations teams for faster and more reliable deployments. As the complexity of applications and infrastructure grew, DevOps teams often found themselves overwhelmed with managing both code and infrastructure.

Platform engineering offers a solution by creating a dedicated team focused on building and maintaining a self-service platform for application development. By standardizing tools and processes, it reduces cognitive overload, improves efficiency, and accelerates time-to-market.  

Platform engineers are the architects of the developer experience. They curate a set of tools and best practices, such as Kubernetes, Jenkins, Terraform, and cloud platforms, to create a self-service environment. This empowers developers to innovate while ensuring adherence to security and compliance standards.

Role of DevOps and Cloud Engineers

Platform engineering reshapes the traditional development landscape. While platform teams focus on building and managing self-service infrastructure, application teams handle the development of software. To bridge this gap and optimize workflows, DevOps engineers become essential on both sides.

Platform and cloud engineering are distinct but complementary disciplines. Cloud engineers are the architects of cloud infrastructure, managing services, migrations, and cost optimization. On the other hand, platform engineers build upon this foundation, crafting internal developer platforms that abstract away cloud complexity.

Key Features of Platform Engineering:

Let’s dissect the core features that make platform engineering a game-changer for software development:

Abstraction and User-Friendly Platforms: 

An internal developer platform (IDP) is a one-stop shop for developers. This platform provides a user-friendly interface that abstracts away the complexities of the underlying infrastructure. Developers can focus on their core strength – building great applications – instead of wrestling with arcane tools. 

But it gets better. Platform engineering empowers teams through self-service capabilities.This not only reduces dependency on other teams but also accelerates workflows and boosts overall developer productivity.

Collaboration and Standardization

Close collaboration with application teams helps identify bottlenecks and smooth integration and fosters a trust-based environment where communication flows freely.

Standardization takes center stage here. Equipping teams with a consistent set of tools for automation, deployment, and secret management ensures consistency and security. 

Identifying the Current State

Before building a platform, it’s crucial to understand the existing technology landscape used by product teams. This involves performing a thorough audit of the tools currently in use, analyzing how teams leverage them, and identifying gaps where new solutions are needed. This ensures the platform we build addresses real-world needs effectively.

Security

Platform engineering prioritizes security by implementing mechanisms for managing secrets such as encrypted storage solutions. The platform adheres to industry best practices, including regular security audits, continuous vulnerability monitoring, and enforcing strict access controls. This relentless vigilance ensures all tools and processes are secure and compliant.

The Platform Engineer’s Toolkit For Building Better Software Delivery Pipelines

Platform engineering is all about streamlining and automating critical processes to empower your development teams. But how exactly does it achieve this? Let’s explore the essential tools that platform engineers rely on:

Building Automation Powerhouses:

Infrastructure as Code (IaC):

CI/CD Pipelines:

Tools like Jenkins and GitLab CI/CD are essential for automating testing and deployment processes, ensuring applications are built, tested, and delivered with speed and reliability.

Maintaining Observability:

Monitoring and Alerting:

Prometheus and Grafana is a powerful duo that provides comprehensive monitoring capabilities. Prometheus scrapes applications for valuable metrics, while Grafana transforms this data into easy-to-understand visualizations for troubleshooting and performance analysis.

All-in-one Monitoring Solutions:

Tools like New Relic and Datadog offer a broader feature set, including application performance monitoring (APM), log management, and real-time analytics. These platforms help teams to identify and resolve issues before they impact users proactively.

Site Reliability Tools To Ensure High Availability and Scalability:

Container Orchestration:

Kubernetes orchestrates and manages container deployments, guaranteeing high availability and seamless scaling for your applications.

Log Management and Analysis:

The ELK Stack (Elasticsearch, Logstash, Kibana) is the go-to tool for log aggregation and analysis. It provides valuable insights into system behavior and performance, allowing teams to maintain consistent and reliable operations.

Managing Infrastructure

Secret Management:

HashiCorp Vault protects secretes, centralizes, and manages sensitive data like passwords and API keys, ensuring security and compliance within your infrastructure.

Cloud Resource Management:

Tools like AWS CloudFormation and Azure Resource Manager streamline cloud deployments. They automate the creation and management of cloud resources, keeping your infrastructure scalable, secure, and easy to manage. These tools collectively ensure that platform engineering can handle automation scripts, monitor applications, maintain site reliability, and manage infrastructure smoothly.

The Future is AI-Powered:

The platform engineering landscape is constantly evolving, and AI is rapidly transforming how we build and manage software delivery pipelines. The tools like Terraform, Kubecost, Jenkins X, and New Relic AI facilitate AI capabilities like:

  • Enhance security
  • Predict infrastructure requirements
  • Optimize resource security 
  • Predictive maintenance
  • Optimize monitoring process and cost

Conclusion

Platform engineering is becoming the cornerstone of modern software development. Gartner estimates that by 2026, 80% of development companies will have internal platform services and teams to improve development efficiency. This surge underscores the critical role platform engineering plays in accelerating software delivery and gaining a competitive edge.

With a strong foundation in platform engineering, organizations can achieve greater agility, scalability, and efficiency in the ever-changing software landscape. Are you ready to embark on your platform engineering journey?

Building a robust platform requires careful planning, collaboration, and a deep understanding of your team’s needs. At Mantra Labs, we can help you accelerate your software delivery. Connect with us to know more. 

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