Often, I find that only a handful of organizations have a complete understanding of where they stand in today’s threat landscape. That’s a problem. If your organization does not have the ability to identify its assets, threats, and vulnerabilities accurately, you’re going to have a bad time.
A lack of visibility prevents both IT and security administrators from accurately determining their actual exposure and limits their ability to address their most significant risk on premise. However, moving computing workloads to a publicly hosted cloud service exposes organizations to new risk by losing direct physical control over their workloads and relinquishing many aspects of security through the shared responsibility model.
Cloud-y With a Chance of Risk
Don’t get me wrong; cloud environments make it very easy for companies to quickly scale by allowing them to spin up new resources for their user base instantly. While this helps organizations decrease their overall time to market and streamline business process, it also makes it very difficult to track user permission and manage resources.
As many companies have discovered over the years, migrating workloads to a cloud-native solution present new challenges when it comes to risk and threats in a native cloud environment.
Traditionally, computing workloads resided within the organization’s data centers, where they were protected against insider threats. Application protection was focused primarily on perimeter protections via mechanisms such as firewalls, intrusion prevention/detection systems (IPS/IDS), web application firewall (WAF) and distributed denial-of-service (DDoS) protection, secure web gateways (SWGs), etc.
However, moving workloads to the cloud has presented new risks for organizations. Typically, public clouds provide only basic protections and are mainly focused on securing their overall computing environments, leaving individual and organizations workloads vulnerable. Because of this, deployed cloud environment are at risk of not only account compromises and data breaches, but also resource exploitation due to misconfigurations, lack of visibility or user error.
The typical attack profile includes:
- Spear phishing employees
- Compromised credentials
- Misconfigurations and excessive permissions
- Privilege escalation
- Data exfiltration
The complexity and growing risk of cloud environments are placing more responsibility for writing and testing secure apps on developers as well. While most are not cloud-oriented security experts, there are many things we can do to help them and contribute to a better security posture.
Recent examples of attacks include:
- A Tesla developer uploaded code to GitHub which contained plain-text AWS API keys. As a result, hackers were able to compromise Tesla’s AWS account and use Tesla’s resource for crypto-mining.
- js published an npm code package in their code release containing access keys to their S3 storage buckets.
The good news is that most of these attacks can be prevented by addressing software vulnerabilities, finding misconfigurations and deploying identity access management through a workload protection service.
With this in mind, your cloud workload protection solution should:
- Detect publicly exposed assets
- Identify excessive and unused permissions
- Have harder security configurations
- Secure APIs
- Uncover data theft attempts
- Automate cloud security functions
There are many blind spots involved in today’s large-scale cloud environments. The right cloud workload protection reduces the attack surface, detects data theft activity and provides comprehensive protection in a cloud-native solution.
As the trend around cybercriminals targeting operational technologies continues, it’s critical to reduce organizational risk by rigorously enforcing protection policies, detecting malicious activity and improving response capabilities while providing insurance to the developers.
Read “The Trust Factor: Cybersecurity’s Role in Sustaining Business Momentum” to learn more.
Daniel Smith is an information security researcher for Radware’s Emergency Response Team. He focuses on security research and risk analysis for network and application based vulnerabilities. Daniel’s research focuses in on Denial-of-Service attacks and includes analysis of malware and botnets. As a white-hat hacker, his expertise in tools and techniques helps Radware develop signatures and mitigation attacks proactively for its customers.