AI Threat Detection (XDR)
Cross-domain correlation over endpoint, network, identity and cloud telemetry with LLM-assisted triage on every alert.
0.31% false-positive rate
DeGooL runs a 24/7 SOC over your existing telemetry, explains every alert in plain language, and contains real threats in a median of 4.2 minutes — with the evidence trail to prove it.
Figures below are illustrative placeholders modelled on regional incident data — swap in your own before publishing.
Attackers hold access for two and a half days before anyone notices — long enough to stage exfiltration.
Phishing, stolen credentials and misuse remain the dominant initial access route across the region.
Under-staffed teams silently drop a third of their queue. Volume, not skill, is the binding constraint.
Direct response, regulatory penalty and lost business, before reputational effects.
TRAILING 12 MONTHS
SINCE AUTO-CONTAINMENT WENT LIVE
Industry median sits near 62 hours. DeGooL clients averaged 4.2 minutes in Q4.
Cross-domain correlation over endpoint, network, identity and cloud telemetry with LLM-assisted triage on every alert.
0.31% false-positive rate
Three shifts of tier-1 to tier-3 analysts operating from our Kuwait City floor, with named escalation contacts.
MTTA 47 seconds
Retained DFIR capability: containment, forensic imaging, root-cause analysis and regulator-ready reporting.
15-min retainer triage SLA
Manual, scoped testing of external perimeter, internal networks, web and mobile applications and APIs.
CREST-aligned methodology
Objective-based adversary emulation against your live estate, measured against your own detection stack.
12 detection gaps found / engagement
Continuous misconfiguration and drift detection across AWS, Azure, GCP and Kubernetes estates.
1,240+ policy checks
Zero-trust access brokerage, privilege analytics and continuous session risk scoring for workforce and third parties.
98.6% MFA coverage achieved
Readiness and evidence automation for ISO 27001, SOC 2, GDPR and Kuwait CITRA data-protection requirements.
Avg 11 weeks to certification
Role-based training with continuous phishing simulation and per-department risk scoring.
Click rate 22% → 3.1% in 6 months
Discovery, exploitability-weighted prioritisation and remediation tracking across the full asset inventory.
EPSS + KEV weighted scoring
Credential, brand and data-leak collection across criminal forums, paste sites and initial-access broker listings.
3.4 M leaked credentials matched
Passive monitoring for industrial and energy environments with Purdue-model segmentation review.
Zero-impact passive taps
TOP SOURCE REGIONS
Sentinel’s reasoning layer runs on Anthropic’s Claude models in a private, no-training-retention deployment. Every alert is enriched, correlated and explained before an analyst opens it — and every automated action carries an auditable chain of reasoning.

Detection engineering, SOC operations and regional threat intelligence, delivered from Kuwait City.

Alert triage, natural-language investigation and report drafting, with citations back to raw events.
MEASURED IMPACT
Logo slot is a placeholder — supply the official Anthropic brand asset and confirm co-marketing permissions before publishing.
Adjust the inputs to model annualised loss expectancy against our measured reduction in breach likelihood and dwell time.
MODEL: ALE = ARO × SLE, SLE scaled by record volume and sector multiplier. Illustrative only.
The reasoning layer changed the economics of our SOC. My tier-1 queue went from unmanageable to boring, which is exactly what I wanted.
Group CISORegional banking group · 14,000 staffRansomware staged on a Thursday night. It was contained before our on-call engineer had finished reading the page.
Head of IT SecurityLogistics operator · 38 sitesEvidence automation did in three months what our previous consultants scoped at a year.
Director of GovernanceHealthcare network · 6 hospitalsTwo-week assessment: we ingest your existing logs, run the Sentinel detection pack, and hand back a prioritised findings report. No agents, no commitment.