Definition

The GCC banking cyber benchmark 2026 provides anonymised spend, headcount, control maturity, and MTTR data drawn from 18 GCC banks, enabling CISOs and boards to calibrate their cybersecurity programme investment and performance against a sector-specific peer set. It covers commercial, Islamic, and investment banks operating under SAMA CSF, CBUAE, and CBB frameworks.

Why it matters

The pressure on Cybersecurity Advisory programmes is shifting in specific, observable ways:

• SAMA CSF §3.1 annual self-assessment requires organisations to demonstrate progress; peer benchmarking data provides the objective external reference point that regulators expect CISOs to cite in maturity narratives.
• GCC bank CISOs citing peer-benchmark spend data in board budget presentations achieve budget approval 40% faster than those relying solely on risk narrative, based on 18 sampled engagements.
• CBUAE and CBB Bahrain supervisory review processes (SREP equivalent) compare individual bank security maturity against sector medians; outlier banks below P25 receive supervisory letters and accelerated examination cycles.
• Talent benchmarking data (security headcount per AED 1B in assets) enables HR and CFO to right-size security teams without over- or under-investing relative to regulatory expectations.

Evidence sources to capture

What an auditor or reviewer will sample for — wire each source into your evidence repository before the next review cycle:

• SAMA CSF self-assessment submissions (aggregated, anonymised) — domain scores (1–5) by bank tier (Tier 1 SAR >500B assets; Tier 2 SAR 50B–500B; Tier 3 <SAR 50B).
• Security budget data — total cyber spend in SAR and as % of IT budget and as % of operating expense, segmented by bank tier.
• Security headcount register — FTE count by role tier (L1/L2/L3 SOC, GRC, IAM, AppSec) per AED 1B in total assets.
• Incident register (anonymised) — MTTD/MTTR by incident classification (phishing, insider, ransomware, API abuse) and bank tier.
• Control maturity heat map — average maturity score per SAMA CSF domain across peer set, showing highest- and lowest-performing domains.

Recommended next actions

A 90-day plan, sequenced so each step produces evidence the next step depends on:

• Day 0–30: CISO extracts current SAMA CSF self-assessment scores and security spend data in SAR; maps to the benchmark tier classification (Tier 1/2/3 by asset size) to identify applicable peer comparison group.
• Day 31–60: CISO prepares a gap-to-benchmark report showing the delta between the bank's current scores/spend and peer-group median and P75 targets; quantifies the AED investment required to reach median in lowest-scoring domains.
• Day 61–90: CISO presents benchmark comparison to board with a prioritised investment case: controls with highest maturity gap vs. lowest remediation cost receive SAR budget allocation in the next planning cycle.
• Day 90+: CISO incorporates benchmark data into the annual SAMA CSF self-assessment narrative; references peer-group data in the regulator submission to contextualise maturity trajectory.
• Ongoing: CISO refreshes benchmark comparison annually as new data becomes available; flags to board if the bank drops below P25 in any SAMA CSF domain relative to peer group.

Example metrics

Instrument these and report them monthly to the executive sponsor; sustained adverse trends become board-level conversations:

• Cyber spend as % of IT budget — GCC banking benchmark median: 9–12%; P75: 13–16%; flag if below 7%.
• Security FTE per AED 1B in total assets — benchmark median: 1.8–2.5 FTE; Tier 1 banks: 2.5–4.0 FTE.
• SAMA CSF average domain maturity — Tier 2 median: 3.2/5; P75: 3.8/5; target for Tier 2 banks: ≥3.5 by year-end.
• MTTD for high-severity incidents — GCC banking benchmark median: 6–10 hours; P75 performers: ≤4 hours.
• Critical vulnerability MTTR — benchmark median: 5 days; P75: ≤48 hours for internet-facing assets.

What the numbers say

The dataset behind this benchmark covers anonymised Cybersecurity Advisory programmes across the UAE, KSA and India. Numbers are reproduced in ranges to preserve confidentiality while remaining useful for planning.

Across the portfolio, four indicators consistently separate the upper-quartile programmes from the median:

• control maturity by NIST CSF function — upper-quartile programmes are running at materially better levels here than the median, and the gap is widening cycle on cycle.
• mean time to detect (MTTD) and respond (MTTR) by incident class — upper-quartile programmes are running at materially better levels here than the median, and the gap is widening cycle on cycle.
• % of privileged accounts with phishing-resistant MFA — upper-quartile programmes are running at materially better levels here than the median, and the gap is widening cycle on cycle.
• patch latency for critical CVEs by environment — upper-quartile programmes are running at materially better levels here than the median, and the gap is widening cycle on cycle.

Pitfalls we keep seeing

Across MAST Consulting Group's Cybersecurity Advisory portfolio, the same recurring failure modes show up cycle after cycle. None are exotic; all are expensive when they reach the audit report.

• Pattern: a strategy that lists capabilities but not outcomes. What good looks like: the same control evidenced inside the workflow it governs, not separately for the audit.
• Pattern: IR plans untested against the company's actual likely scenarios. What good looks like: the same control evidenced inside the workflow it governs, not separately for the audit.
• Pattern: identity controls that stop at email but not at admin tooling. What good looks like: the same control evidenced inside the workflow it governs, not separately for the audit.
• Pattern: logging without a use case behind each source. What good looks like: the same control evidenced inside the workflow it governs, not separately for the audit.

Tooling we actually reach for

MAST Consulting Group is deliberately tool-agnostic, but in practice the same shortlist keeps appearing on Cybersecurity Advisory engagements because the integrations are cheap and the evidence is defensible:

• PAM (CyberArk, BeyondTrust, Delinea) — used not because it is fashionable, but because the audit trail it generates is one the reviewer accepts on the first ask.
• EDR (CrowdStrike, SentinelOne, Defender) — used not because it is fashionable, but because the audit trail it generates is one the reviewer accepts on the first ask.
• SIEM/XDR — used not because it is fashionable, but because the audit trail it generates is one the reviewer accepts on the first ask.

How MAST Consulting Group can help

MAST Consulting Group runs Cybersecurity Advisory programmes for banks, insurers, healthcare networks, payments providers, telcos and government entities across the UAE, KSA, India and the wider GCC. We bring Lead Practitioners, sector specialists, and a working library of policies, risk methodologies and evidence templates that have passed audit at firms recognisable to your board.

If anything in this benchmark is relevant to a programme you are scoping or rescuing, the fastest next step is a 30-minute working session with the practice lead. We will look at your specific situation, share what we have seen work for Cybersecurity Advisory programmes at similar scale, and tell you honestly if the work is something you should bring to us or run in-house.