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đŁ Introducing AI Threat Modeling: Preventing Risks Before Code Exists
Unified risk and vulnerability management across application, infrastructure, and code quality scanners, with code-to-runtime actionable context
Automated security controls validation and assurance based on your organization’s SDLC policies, with actionable context from your CMDB
Risk Graph policy engine and developerâs guardrails at every phase: design, development (pull request), and delivery (build/deploy)
How security and compliance are integrated into the development lifecycle needs a fundamental re-examination. Organizations are stuck with a âcheck the boxâ and vulnerability-driven mentality tied to maintaining security and compliance at the expense of actual risk reduction. CISOs and CIOs often have conflicting interests, with security looked at as a roadblock to accelerating delivery through Digital Transformation. Whatâs needed is a new approach that analyzes data from throughout the entire development and DevOps processes to identify, prioritize, and remediate the risks that matter. We call these Material Changes.
In many ways, the lack of risk-based decision making is understandable because existing application and cloud security tools donât provide CISOs, Security Architects, and Developers with an accurate picture of their risk.
Current approaches to DevSecOps fail to fully automate existing application and cloud security processes, which are periodic, resource intensive, and do not scale. To release changes to production, you still need to go through threat models, security and compliance reviews, pen-tests and risk assessments, which are manual and inaccurate because theyâre based on self-attestation. Many platforms claim to simplify the addition of security into the DevOps process by aggregating data from different tools but in reality, they bolt themselves onto the existing process, remain siloed, and generate more alerts (many of them false-positives!) than ever before.
âIntegrating security into DevOps to deliver DevSecOps demands changed mindsets, processes and technologies.â* – Neil MacDonald, Gartner
Today, there is too much of a focus on vulnerabilities detected by scanning tools. Organizations often have policies that all vulnerabilities with a certain score – or vulnerabilities of a certain type – need to be fixed before code is deployed to production. It doesnât matter if a vulnerability is in an unimportant section of the code and completely unexploitable or if it can expose sensitive information to the Internet.
A better approach is to understand the entire context of a new code commit, from design to production, and handle it in a way that reflects its true risk instead of running all code through the same CI/CD pipeline. Imagine a developer working on a feature that adds PII to an existing API – now this API becomes sensitive. Understanding the authentication, authorization, encryption, and input validation controls of that API is critical to making risk-based decisions!
Fixing the current approach to the SDLC is hard to do. People naturally focus on the risk in front of them and donât consider the personal consequences of missing a vulnerability. We need to have an organization-wide framework for deciding when and where to accept risk and then automate the decision-making. The way to enable this is with the proper information and context. Security, development, and legal teams need to better understand their code, from the history of the code base to the context provided by Jira tickets to conversations about the new feature on Slack. The developers themselves are also incredibly important to understand, from their experience with certain technologies to their security knowledge. When you have a more complete understanding of your risk, you can intelligently differentiate between changes and handle each in a way thatâs appropriate.
Differentiating between changes – before CI/CD!
When you fully understand the history and context, youâll come to understand this piece of advice from Gartner:
âStop trying to remove all unknown vulnerabilities in custom code, which increases false positives. Instead, focus developers on those with the highest severity and confidence.â*
Doing this will change your entire approach to security in software development. Itâs a mindset shift that enables you to stop thinking about security as a checkbox function and more of a context-aware process that is better aligned with your business strategy and tolerance for risk.
Youâll be able to improve security, make the most of your resources, and deliver faster. As Charles Blauner, the former CISO of Citigroup has said: âYou can finally go talk to your CIO and say: âI have a way to make your life better.ââ
* Gartner. â12 Things to Get Right for Successful DevSecOpsâ By Analysts Neil MacDonald, Dale Gardner. 19 December 2019
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