Is Your Telecom Network Security Programme Built for Telecom-Specific Threats — Or Repurposed IT Security?
An 18-question, five-section assessment benchmarks maturity across threat awareness, network architecture, detection and response, AI and automation, and governance — treating signalling protocol attacks, inter-roaming exploits and 5G-specific vulnerabilities as their own attack class rather than variants of generic IT threats
Operators who treat network security as generic IT security are, by definition, systematically underprotected against the threats most likely to cause them operational harm — because signalling protocol attacks, inter-roaming exploits, and AI-enhanced social engineering targeting telecom infrastructure are not variants of enterprise cyber threats, they’re a categorically different attack class requiring their own threat models and controls. TeckNexus has launched a Telco Network Security Maturity Assessment, an 18-question diagnostic across five sections that benchmarks security posture specifically against the threats telecom networks actually face, rather than a generic cybersecurity maturity framework applied to a telecom context.
Section 1 — Do you know what’s specifically targeting your network?
The assessment opens by distinguishing organisational intent from tooling: whether telecom network security is treated as a single discipline with IT security — same team, same tools, same policies — or whether it’s recognised as distinct but not fully separated in practice, or whether a genuinely dedicated telecom security practice exists with domain-specific expertise, tooling and threat models tailored to network infrastructure. This matters because a dedicated telecom security practice is identified as the foundation that makes every other investment in the programme effective — without domain-specific expertise in signalling protocol attacks, network function architecture and 5G-specific threat vectors, the rest of the security programme has nothing to calibrate against.
Whether SS7/Diameter/GTP attacks, inter-roaming exploits, ransomware targeting network functions, and AI-enhanced social engineering are all actively modelled and monitored — versus only some categories being in scope, or none at all — determines whether the threat model actually covers what’s targeting the network or just what generic enterprise frameworks anticipate. And whether telecom-specific threat intelligence is ingested on a defined schedule and actively used to update detection rules and playbooks, versus relying on general cybersecurity news and vendor advisories, is the difference between a threat model that stays current and one that’s static from the day it was written.
Section 2 — Is your network architecture creating structural vulnerabilities?
Architecture is treated as the first determinant of security posture, and the assessment is direct about why: SS7 was designed in 1975 when networks were state-owned and physically access-restricted, and it has no authentication for incoming messages at all — a structural vulnerability that application-layer controls cannot fully compensate for regardless of how sophisticated they are. Signalling infrastructure status — primarily legacy SS7, mixed SS7/Diameter retained for roaming compatibility, primarily modern 4G/5G SBA with SS7 backward compatibility maintained, or 5G-native SBA with an active programme to eliminate SS7 dependencies entirely — sets the architectural ceiling on what the rest of the security programme can achieve.
Signalling firewall coverage across SS7, Diameter and GTP roaming interfaces is named as the baseline control for roaming interface protection specifically — and the assessment distinguishes no signalling-specific controls at all from basic but incomplete coverage from comprehensive coverage with regular rule updates, anomaly detection and periodic penetration testing. Whether IT infrastructure — OSS/BSS, billing, network management — is genuinely architecturally separated from core network functions, with independent authentication and monitored cross-domain access, versus sharing common systems and credentials, determines whether a compromise on one side of the IT/network boundary can reach the other. And vendor and third-party ecosystem governance matters specifically because 5G networks are software-defined and multi-vendor — every vendor with access to network function code, configuration or management interfaces is a potential attack surface, and formal risk classification, periodic assessment, and software bill of materials requirements are what separate an active supply chain security programme from basic contractual language that goes unmonitored.
Section 3 — Can you find threats before they find you?
Reactive, signature-based detection is named directly as necessary but insufficient against adversaries who blend malicious traffic with legitimate network behaviour — and the assessment notes that average dwell time in organisations without proactive detection is measured in weeks to months, giving sophisticated adversaries exactly the time they need to establish persistent access. SOC detection approach — primarily reactive, signature-based IDS/IPS, or proactive continuous monitoring with AI/ML-driven anomaly detection and established behavioural baselines across RAN, core, transport and signalling — sets the ceiling on how early threats are actually caught rather than merely responded to.
Unified visibility across IT and network function telemetry in a single correlated platform is flagged as one of the most cited gaps in telecom SOC operations, and the reason correlated cross-domain attacks go undetected specifically — siloed visibility means an attack that touches both IT and network function systems never gets connected as a single incident. Privileged access management for core network configuration, RAN management and roaming infrastructure administration is named as protecting the highest-value target for adversaries seeking persistent access, since admin-level credentials provide the ability to export configurations, intercept traffic, and insert backdoors through entirely legitimate management channels. And tested ransomware resilience specifically for network infrastructure — offline configuration backups, segmentation controls to contain spread, rehearsed recovery procedures — is distinguished from generic IT backup and recovery, which the assessment notes isn’t designed for the failure modes of network function ransomware; two-thirds of surveyed operators cited ransomware as an area needing substantial improvement.
Section 4 — Are you ready for a threat landscape where AI is both weapon and shield?
Over 65% of surveyed telecom operators are already using or piloting generative AI in security operations, while adversaries weaponise the same technology simultaneously — AI-generated social engineering, deepfakes, LLM-assisted malicious code and automated reconnaissance are operational against telecom targets today, not a future concern. The assessment frames this as a compounding advantage problem: operators who adopt AI defensively earliest gain a capability advantage that compounds over time, while those who wait face an adversarial AI gap that becomes progressively harder to close reactively.
Whether AI/ML is operationally deployed in production for threat detection, triage or intelligence analysis with human oversight maintained at escalation points — versus still piloting specific use cases, versus not deployed at all — measures actual operational maturity rather than vendor roadmap awareness. Whether the organisation has specific detection and response capability for AI-enhanced attacks — deepfake-based social engineering, AI-generated phishing, LLM-assisted reconnaissance — versus only general awareness of the threat landscape, determines whether the threat model has actually caught up to how attacks are currently being conducted. And the extent to which SOAR or equivalent automation handles initial triage and playbook execution, freeing analysts to focus on high-severity and novel events, measures whether automation has actually changed operational capacity or remains mostly aspirational.
Section 5 — Is your governance framework keeping pace with regulation and the evolving threat?
NIS2 in Europe, the UK Telecommunications Security Act, 3GPP security standards, and the MITRE FiGHT 5G threat framework are actively shaping compliance and operational security requirements — and operators that governed adequately for 4G infrastructure may carry material gaps as they deploy 5G and embed AI into operations, since the governance frameworks that applied to 4G don’t automatically extend to cover 5G-specific and AI-specific risk.
Formal alignment against applicable regulatory and standards frameworks — mapped, reviewed on a defined schedule, with material gaps remediated or carrying documented risk acceptance — is distinguished from having merely completed a gap assessment with remediation still pending, or not having assessed alignment at all. MITRE FiGHT, described as the telecom-specific equivalent of MITRE ATT&CK for enterprise IT, mapping adversary tactics directly to 5G network functions and interfaces, is assessed for whether it’s actively integrated into threat modelling, detection rule development and red team exercises, or merely known about without formal incorporation. Industry threat intelligence sharing — active bilateral participation contributing to and receiving from sector ISACs and regulatory bodies, versus passive receipt only, versus no participation at all — is framed as increasingly the difference between detecting an attack campaign early and discovering it months after it began. And formal board-level accountability for cybersecurity — named executive ownership, regular board reporting on material threats and compliance status, defined escalation paths — matters because both NIS2 and the UK Telecommunications Security Act explicitly reference board-level accountability, and security governance that never reaches the board cannot drive the investment decisions required to close material gaps.
From maturity score to a defensible security roadmap
The assessment’s five-section structure mirrors the actual dependency chain in telecom network security: architecture sets the ceiling on what detection and response can achieve, AI readiness determines whether the organisation is keeping pace with a threat landscape that’s evolving on both offence and defence simultaneously, and governance determines whether any of the above actually gets the investment and board attention required to close identified gaps.
Telecom security leaders, network architects and CISOs can take the free assessment directly and receive a maturity benchmark across all five dimensions.
Related Tool: Telco Network Security Maturity Assessment Results
Your assessment results include section-by-section insight and threat-specific guidance calibrated to each answer — helping translate maturity gaps into a prioritised security investment roadmap.
