We designed APIsec with the ideology that understanding the business logic should not be the basis of securing it, rather application security comes from understanding the risks in the API through use. We recognized that AppSec teams need to be tightly connected with development teams and security teams, hence had to fit into both worlds and communities.
DevOps, SecOps, OpSec, DevSecOps, NoOps
They all actually mean for improving the security of your development and deployment of products
How Security, Dev, and Operations Teams can Work Better Together
DevOps, a branch of Agile movement, has the single goal to combine Dev and Ops process through automation, so that organizations can build, test, and release software faster and more reliably.
In their excitement over DevOps’ ability to swiftly and efficiently move products through the various stages of development and production, organizations appear to have woken up in the past few years or so with the realization that they forgot to include security in this process, leaving many of their products insecure.
The push to incorporate security into the DevOps workflow has led to the DevSecOps generation. DevSecOps is a concept that is starting to take off as companies begin to understand that by implementing automated security tools, retraining developers on how to think about secure practices when building their products, and including security pros throughout the development lifecycle, they can cover most of the necessary ground to attain meaningful security.
Fundamental challenges with security today include
Many organizations rely heavily on periodic application audits to comply with common standards like OWASP, PCI, CVE, CVL, and industry-specific compliance, etc.
Conventional application security testing approaches are inefficient and ineffective, requiring a huge investment in security experts performing manual tasks. These approaches can become so expensive that only the highest priority apps are ever tested for security flaws.
Some organizations also use outdated static code analysis tools, which only look for code flaws and common injection attack scenarios. However, they completely miss stored injection attacks and business logic vulnerabilities, which require interacting with the live application and then performing these analyses.
On the other hand, Ops have grown accustomed to speed. Having finally come together with the developers to push software through the CI/CD pipeline faster, they have no intention of slowing down now. Add to this the fact that the scale of their workload has increased considerably.
Understandably, even if your developers and operations do put a value on security, they are not security people by training, and it has not been on their own internal checklist.
The least painful way to stay secure without getting stuck is to throw in security at the earliest stages. Shift-left as much of your security activities as possible so that your team won’t get hobbled by vulnerabilities or other issues later before a release when they are going to be significantly harder to handle.
Embrace automation for as many of the security functions as possible.
- Automates vulnerability assessment and management in APIs.
- Seamlessly integrated with all major CI/CD toolchains including Jenkins, Teamcity, Bamboo, GitLab, and Hudson, etc.
- Built for super-fast scanning capability. It can perform over 5,000 validations under 5 minutes, so your pipelines are never going to slow down when security is added.
- Can detect over 50 vulnerability types in APIs, including business logic, access-control, role-based access-controls, injection, stored injection, DoS, Sensitive Data Exposure, and many more.
- Fully customizable, allowing security experts to automate, manage, own, and add custom/business-specific validations if required.
- Fully transparent. All validations are consistent and repeatable as Playbooks. This allows security experts to review, customize, and improve coverage.
- Bridges the gap with Developers by doing automatic vulnerability management, i.e., automatic filling and closing of vulnerabilities across issue-tracking software like Jira, Bugzilla, GitHub Issues, and many more. Issues are filed with enough context for developers to understand, learn, and remediate threats.