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Today, corporate intranets have evolved beyond simple document repositories to become collaborative ecosystems that integrate internal social networks, content moderation, and artificial intelligence functionalities. However, this increased complexity brings significant risks in terms of security and architecture. A specialized audit becomes essential to ensure that the system not only meets cybersecurity standards but is also scalable, efficient, and prepared to integrate emerging technologies such as AI agents or automated workflows.
Q2BSTUDIO, a leading company in the development of custom software, offers a comprehensive audit service that ranges from reviewing the SQL schema and query performance to exposing sensitive data and governing artificial intelligence models. This in-depth analysis includes the evaluation of specific AI risks, such as prompt leakage, traceability in RAG systems, and token cost control, critical aspects when deploying AI solutions for companies that interact with corporate data.
The audit also covers the deployment architecture, including secret management in CI/CD environments, configuration of private networks via VPN tunnels, and the correct implementation of cloud services aws and azure. Q2BSTUDIO combines its experience in cybersecurity with a practical approach that prioritizes business usability, offering a detailed report with severity levels, quick actions, and a remediation roadmap. For companies looking to modernize their intranet with an internal social network, this audit not only identifies vulnerabilities but also lays the foundation for a secure digital transformation aligned with regulations such as GDPR.
Furthermore, Q2BSTUDIO integrates business intelligence service tools such as Power BI into its recommendations, allowing business leaders to visualize key performance metrics, operational costs, and platform usage. In this way, the security and architecture audit becomes the first step towards a corporate intranet that not only connects employees through an internal social network with moderation but also drives operational efficiency, reduces risks, and prepares the organization to adopt custom applications based on artificial intelligence in a controlled and productive manner.
