Case Study

Catalyst Trusted agentic AI for access management

CognitiveAutomation
Catalyst Trusted agentic AI for access management

Turning compliance into an automated property of the network

This Catalyst empowers secure enterprise connectivity with AI-driven compliance for faster, risk-free operations. It turns regulation from a downstream audit burden into an automated network property, running the full compliance loop on TM Forum Open APIs, cutting policy rollout from weeks to hours.

The Challenge

As AI adoption accelerates, enterprises must deliver faster, secure access while complying with increasingly complex regulatory, security, and data-sovereignty requirements. Fragmented identity and access management creates inconsistent policy enforcement, manual compliance processes, and audit gaps that slow operations and increase risk, making it difficult to turn evolving regulations into trusted, traceable access decisions at scale.

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The Solution

Celfocus continues to drive innovation across four core dimensions:

  • Secure & Observable Agentic AI Platform: Agents run on Celfocus's open, interoperable platform, with security, governance, and observability embedded across the lifecycle. Policy-based controls govern user, agent, and tool interactions, while trusted-source grounding and least--privilege access contain AI hallucinations.
  • AI-Driven Compliance: A specialised AI Compliance Agent translates regulatory and contractual requirements (GDPR, BDSG, sabotage-protection, data-sovereignty) into traceable candidate IAM policy changes—each linked to its source and approved before enforcement, keeping accountability with authorised humans.
  • Unified Identity and Policy Enforcement: A TM Forum-aligned Digital Identity Management layer gives a common policy decision and enforcement point across systems, reducing duplicated access logic and creating a near-real-time evidence trail of who accessed what, when, and under which authority.
  • Zero-Trust Safeguards for Controlled Autonomy: Four production safeguards turn recommendations into governed change - policy dry-run, human approval, scope-limited rollout, and adversarial testing. Autonomy grows as trust is proven, while every consequential action stays traceable and auditable.
Benefits
Project in a nutshell

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