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Operational Security (SecOps)

Unify IT and security teams with our expertise in Security Operations

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SecOps: improve your organization's resilience

Between business continuity requirements, cyber pressure, and digital acceleration, security can no longer be thought of in silos. Operational security (SecOps) establishes a cross-functional, continuous, and collaborative approach that aligns IT and cybersecurity teams around common goals: preventing vulnerabilities, detecting threats more quickly, and strengthening the resilience of digital environments.

Our offering is based on proven expertise and an integrated methodology that promotes project security at every stage, from development to operation.

Our three key strengths:

  • IT/security alignment: convergence driven by business challenges for greater efficiency and resilience
  • An agile and collaborative intervention model that integrates security from the design phase onwards
  • Field expertise: specialists in various aspects of SecOps working closely with operations, adapted to your environments and constraints
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Our key figures

15,4 Mds Global market for SecOps tools (Gartner)
89% Of companies use AI to better identify threats
+15% Increase in cyberattacks in France between 2023-2024 (ANSSI)

Our operational security (SecOps) services

Securing hybrid infrastructures and environments

We design security architectures tailored to cloud, on-premise, or hybrid environments. This includes securing IT infrastructures, protecting networks, implementing application firewalls, strict access policies (IAM), and orchestrating detection and response solutions (EDR/NDR).

Our approach aims to reduce the attack surface while ensuring compliance with current standards. In this context, AI increases threats to MLOps/LLMOps platforms, but also provides new defense capabilities (Zero Trust MLOps).

Application security & DevSecOps integration

We integrate security into the heart of the DevOps cycle through a structured DevSecOps approach. This includes application protection, vulnerability analysis during development (SAST, DAST), the implementation of automated security testing in CI/CD pipelines, and support for teams in adopting secure coding best practices.

At the application level, risks specific to AI (LLM apps) are addressed by integrating specific solutions (tests, scans, filters) into CI/CD. This approach accelerates delivery while maintaining a high level of security.

Code audit and continuous improvement of application resilience

Our experts perform code security audits to identify critical flaws and areas of risk, including code generated by AI and LLM/ML surfaces. We conduct in-depth analysis of source code structure, dependencies, and recurring vulnerability patterns.

Beyond the findings, we offer concrete remediation plans, tool-based recommendations, and support your teams in implementation. This approach improves your application resilience in the long term.

Contact our expert!
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Cosmin-Branzan
Cosmin BRANZAN
Chief Executive Officer