Nearly 83% of developers in GitLab’s 2020 DevSecOps survey say they’re releasing code faster today than ever before thanks to DevOps. About 65% also say security is shifting left in their organizations. How far left is that shift? Not that far: Over 60% of developers don’t actually run static application security testing (SAST) scans, and 73% don’t conduct dynamic application security testing (DAST) scans.
This needs to change.
Security is often a bottleneck to faster releases but it is much too risky to minimize or ignore. DevSecOps promises to bring security forward in the software development lifecycle (SDLC). This can be done a number of ways but automated security testing streamlines adoption and scalability. A respondent to this year’s DevSecOps Survey summarized it nicely:
Automated testing and continuous integration have made our deployments safer and more optimized. Now everyone in the team has the permission to deploy the code.
The need for security automation and good security practices
There is an attempted cyber-attack every 44 seconds on average.
Every. 44. Seconds.
This also equates to approximately 2,200 daily attacks resulting in about 800,000 people being hacked each year. Unfortunately, no one has the time, patience, or bandwidth to keep their eyes and hands ready to stop or address cyber attacks on the horizon. That’s why security automation tools exist.
And consider this: cyber attackers aren’t doing everything by hand – they employ automation too. This means security processes also need automation to keep up.
A security automation solution can include real-time monitoring tools that constantly manage security vulnerabilities and take automatic action where needed. It’s like adding a second pair of invisible hands to the team to help prevent and resolve security issues. Increased security measures can save any organization time and money and avoid the loss of sensitive files.
4 Ways to automate security in software development
Automation comes in all shapes and sizes. Scans and policies can be programmed manually or come as set operations out of the box; scans can be triggered automatically at code commit or manually initiated; and these scans can result in automated remediation and reports or they can require human intervention. Here are four ways automated security testing can be integrated into your software development practices:
Automate security scans for every code change by running SAST scans. For ease of assessment, results should be sorted by the priority level of the vulnerability.
Scan results should automatically initiate a work ticket or issue, or may stop a build depending on the policy in place. These results should be presented to the developer – in the workspace or IDE in use to avoid context switching – for instant remediation.
Policies are automatically applied upon code commit with the option to capture and approve exceptions as needed.
Analyze running web applications for known vulnerabilities using DAST scans. In GitLab, DAST scans can be automated by including the CI job in your existing .gitlab-ci.yml file, or by using Auto DAST.
5 Benefits of automated security
In addition to making jobs easier across development, security, and operations, automated security testing will help your team produce a safer and better-quality result.
Reduced human error. Across all functions, automation reduces human error by taking the manual work out of tedious processes that rely on excessive attention to detail.
Early security intervention. By placing security earlier in the SDLC, threats and vulnerabilities can be detected and addressed faster – hopefully before there’s even a chance that they’re exposed.
Streamlined vulnerability triage. Automated scan reports can present the threat level of any vulnerability so that developers and security engineers alike can decide which must be addressed immediately and who is responsible for resolving the problem.
Repeatable security checks. Any automated task should be repeatable, which means that all code can be reviewed and assessed the same way every time. This creates a trusted and secure environment and code base, and also helps reviewers identify patterns when results are presented in a consistent manner.
Responsibility clarification. Automation takes uncertainty out of DevSecOps. Shifting security can cause confusion about who is responsible for what. But automated scans can present remediation options for the party responsible at that stage of development.
But it is also important to find a productive balance between automated security testing and manual work. For example, trying to automate overly rigorous policies may prove detrimental to business objectives and may not be realistically achieved – it’s important to find a balance between policy compliance and efficiency. It’s also key that automation doesn’t obstruct visibility. Make sure there is still a trail of operations to review if necessary – automated processes should still generate reports of what was done, when, and why the action was triggered. Last, but certainly not least: Automation is not meant to replace human beings. It is a tool meant to make their work more efficient and help them produce better results for the team, the business, and the customer.
Security automation vs. security orchestration
Though they are different concepts, security automation and security orchestration perform similar functions. One serves the other to make security processes more efficient.
Security automation focuses on automating individual tasks (possibly with AI technology) to simplify essential processes for security analysts. On the flip side, security orchestration connects tools in use alongside automation and streamlines the whole security procedure. Orchestration drives efficient automation.
Types of security automation tools
To keep track of security incidents (and prevent them in the future), teams use security automation tools and different types of security scanning. A few common types of security automation tools include:
- Security Information and Event Management (SIEM): SIEMs help to automatically collect data across multiple sources and use it to give contextual background about security incidents.
- Security Orchestration, Automation, and Response (SOAR): SOAR takes SIEM a step further than just contextual data collection and adds automated response options to the mix. SOAR alerts security analysts to problems and shuts down cyber threats automatically.
- Extended Detection and Response (XDR): This proactive, automated solution combines SIEM, SOAR, and other security options into one managed source.
How security automation works with security analysts
A human can’t do all of the necessary security work, nor can a security automation tool. It’s a symbiotic relationship to ensure that an organization feels the least amount of negative impact from a cyber attack possible.
A security analyst, responsible for vulnerability management by identifying and resolving security flaws and conducting audits, gets a lot of help from automation. An automated security system can make someone aware of a problem and even help to resolve it while removing manual time constraints.
Read more about DevSecOps:
- Efficient DevSecOps: 9 tips for shifting left
- Want better DevSecOps? Try cross-functional collaboration
- Compliance made easy with GitLab
- How application security engineers can use GitLab to secure their projects