AI & DevSecOps

An initial SAMM/DSOMM maturity audit and an assessment of your development cycle will identify your strengths and weaknesses. Based on this, we will make recommendations on the tools to implement (SAST, DAST, secure CI/CD) and Security by Design practices to improve security without slowing down development. 

Integrating security into AI and MLOps projects requires a "shift left" approach tailored to the specific characteristics of the data and models. We begin with an AI-specific maturity audit, assessing the quality of training data using advanced statistical techniques (such as Kolmogorov-Smirnov tests) to detect any data poisoning. Next, we deploy model protection methods, such as Differential Privacy, which anonymize sensitive data, as well as Model Hardening strategies to strengthen robustness against malicious data injection attacks. At the same time, we secure the entire MLOps chain by integrating specialized CI/CD tools (such as MLflow or Kubeflow) with container vulnerability scanners (e.g., Clair or Trivy), and by applying granular access policies based on the Zero-Trust principle and Role-Based Access Control (RBAC). 

In a context where teams are working under tight deadlines, we ensure that deployments remain secure without slowing down delivery. To do this, we integrate automated analysis tools such as SAST and DAST scanners into your CI/CD pipelines, which run in parallel as soon as the code is committed. This orchestration reduces feedback cycles while ensuring proactive vulnerability detection. We also optimize the use of Infrastructure as Code (IaC) by combining Terraform or Ansible with configuration verification solutions such as Checkov or tfsec, ensuring that deployment environments comply with security best practices. The presence of a Security Champion in the team allows us to oversee all of these processes, orchestrating these controls in the background without impacting the pace of development. 

To ensure operational robustness and compliance in a DevOps and SRE approach, we implement automated security controls at every stage of the CI/CD pipeline. These controls are coupled with real-time monitoring solutions, such as Prometheus and Grafana, and alerting systems based on the ELK Stack, which enable immediate detection and response to anomalies or incidents. The SRE approach also involves rigorously defining Service Level Objectives (SLOs) and implementing advanced deployment strategies such as canary or blue/green deployments, ensuring maximum fault tolerance. In addition, automated remediation workflows, orchestrated via platforms such as PagerDuty or Splunk Phantom, guarantee an almost instantaneous response to incidents, while complying with compliance standards (ISO 27001, NIST, PCI-DSS). 

"A security culture cannot be imposed. It must be rooted in practice."
The Security Champion acts as an expert liaison within development teams, training and educating your employees on security best practices, thereby contributing to the continuous improvement of your security posture. By mastering advanced standards such as OWASP Top 10 and CWE/SANS Top 25, and deploying threat modeling techniques, they continuously train and educate your teams on integrating security testing (SAST, DAST) and securing the software supply chain using SCA tools. They implement runtime protection (RASP) mechanisms and automated detection and response (EDR, XDR) solutions to ensure that DevSecOps practices are constantly evolving. Through this integrated approach, the Security Champion contributes to the continuous improvement of security posture, aligning development and security practices with the most rigorous industry standards. 

Integrating security by design through S2DLC minimizes risks from the outset by reducing attack surfaces through design review strategies , security requirements engineering, and proactive compliance analysis. Practices such as threat modeling, attack vector identification, and risk analysis based on frameworks such as STRIDE or DREAD enable the design of an inherently resilient architecture that is ready to face advanced threats from the outset. 

Preventing vulnerabilities in the software supply chain requires continuous analysis of third-party dependencies (SCA - Software Composition Analysis), validation of components through automated security testing incorporating techniques such as fuzzing and static/dynamic analysis, and strict restriction of authorized libraries (whitelisting). Software Bill of Materials (SBOM) management and regular supplier security assessments, coupled with rigorous verification of compliance with frameworks such as NIST SP 800-161 and the implementation of CI/CD Security Gates, significantly reduce the risks associated with external dependencies. 

Ensuring compliance and security in a CI/CD pipeline is a real challenge that requires automated controls throughout the integration and deployment cycle, with the implementation of Quality Gates (QGs) in the delivery process. Each code commit is subject to SAST (Static Application Security Testing) and DAST (Dynamic Application Security Testing) analyses, security policy compliance tests (policies as code), and continuous evaluation of environment configurations via Infrastructure as Code (IaC) tools. Securing artifacts is also crucial in CI/CD and involves major challenges such as integrity, traceability, access management, and protection against unauthorized modifications. To address these challenges, it is imperative to implement digital signature mechanisms (Code Signing) for each artifact, strictly control access to registries through RBAC (Role-Based Access Control) policies, verify digital fingerprints (SHA-256 hashing) before each deployment, and ensure compliance with security policies through automated controls. These measures guarantee the authenticity, non-repudiation, and traceability of artifacts and prevent any malicious tampering. The integration of zero-trust mechanisms into the CI/CD cycle, combined with the validation of artifacts via cryptographic integrity checks, strengthens protection against advanced persistent threats (APTs). 

Not only that. Tools are essential, but without a shared culture, they remain underutilized. 

We firmly believe that safety and reliability must be integrated into the DNA of teams, just like quality and performance.
That's why we help you build an approach where ownership, collaboration, and continuous improvement are at the heart of practices: 

• Continuous improvement rituals: blameless postmortems, security reviews integrated into the DevOps cycle. 

• A framework for secure autonomy: policy-as-code, golden path, AI quality gates, and automated controls... 

• Shared responsibilities: dissemination of best practices via Security Champions and communities of practice.