See what telecom AI can reach
Map supported relationships between applications, models, data sources, knowledge, and tools.
Telecommunications AI security
Secure telecom AI as it moves into production
Map the applications, data, and tools behind your AI initiatives. Test security boundaries in connected workflows, then apply guardrails and review policy outcomes during supported live use.
The challenge
Telecom AI connects sensitive data to operational tools
AI can serve customers and support internal teams while reaching subscriber information, knowledge sources, and service systems. Those connections need testing and controls so untrusted inputs cannot become unauthorized disclosures or actions.
The Repello approach
Inventory maps supported AI applications and their data and tool connections. ARTEMIS challenges connected browser and API workflows. ARGUS applies configured policies to supported interactions; subscriber authentication, account changes, and network change approvals stay in the operator's systems.
How Repello helps
Challenge data and action boundaries
Test connected experiences for prompt injection, sensitive-data exposure, and unintended tool requests.
Guard supported live interactions
Configure ARGUS policies at connected AI enforcement points while operator systems retain access and change controls.
Investigate and retest
Review attack findings and policy outcomes, then repeat relevant tests after the workflow changes.
What Repello gives your team
Make telecom AI security visible and testable
Give service, operations, and security owners evidence about access, application behavior, and policy decisions.
Validate security before rollout
- Understand the data and tools behind a supported AI workflow.
- Test whether untrusted content crosses a data or action boundary.
- Give owners the observed attack path and mitigation guidance.
Review controls in production
- Apply configured policies to supported live interactions.
- Preserve authentication and operational approvals in operator systems.
- Distinguish an alert from a confirmed block, then retest after changes.
Frequently asked questions
Questions about telecom AI security.
Which telecom AI applications can Repello assess?
Inventory maps supported data and tool relationships. ARTEMIS tests connected customer-facing and internal applications through a browser interface or API. Exact coverage depends on the workflow and integrations configured.
What security risks can we test?
ARTEMIS can challenge supported applications for prompt injection, sensitive-data exposure, and unsafe tool use. Test identities and synthetic records can help assess subscriber or role boundaries without relying on live customer data.
Can knowledge and operational content carry prompt injection?
Yes. A retrieved ticket, runbook, or knowledge article can contain instructions an AI agent should treat as data. ARTEMIS can test whether that content redirects a supported workflow or prompts an unintended tool request.
How do runtime guardrails help?
ARGUS applies configured policies to supported connected AI interactions and records outcomes for review. An alert shows detection; only a blocked outcome at a supported enforcement point confirms prevention of the covered interaction.
Does Repello authorize subscriber or network changes?
No. Repello can test whether a connected AI workflow attempts an unsafe action and can apply configured AI policies where supported. Subscriber authentication, account changes, network approvals, and execution permissions remain in operator systems.
Must testing touch live subscriber or network systems?
No. Use a staging workflow, synthetic records, and controlled tool permissions where possible. Agree on the environment and allowed actions with the application and operations owners before testing.
See Repello in action
Get a personalized Repello demo.
Bring a telecom AI application your team is evaluating or operating. See its connections, test a relevant security boundary, and review the runtime evidence available for ongoing oversight.