What we help with
What we help with
{01}
Enterprise Sales
When security slows down or blocks enterprise deals.
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Clear audit and readiness roadmap
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Faster security reviews and due diligence
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Security that helps close deals
[Assessment] [Retainer]
{02}
Fraud Prevention
When money is already leaking through ATO, cards, promo abuse, or affiliates.
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Identify the top revenue leaks fast
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Stop the biggest losses first
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Build fraud controls that scale with the product
[Assessment] [Retainer]
{03}
Incident Response & Monitoring
When incidents create chaos and no one is clearly in charge.
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Clear severity model and ownership
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Playbooks that work in real crises
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Monitoring focused on real business risk
[Assessment] [Project] [Retainer]
{04}
Pentesting & Vulnerability Management
When you need a pentest or your vulnerability backlog is out of control.
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Independent pentesting through trusted partners
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Clear, actionable reports engineering can use
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Prioritized fixes based on real business risk
[Assessment] [Project]
How We Work
01
30-MIN CALL (FREE)
Understand your situation and what really matters.
02
ASSESS
Get a clear plan with priorities and next steps.
03
FIX
Implement what matters - as a project or ongoing engagement.
04
STAY INVOLVED
We remain available as your security partner when needed.
Real Work
SOC 2 Readiness Without Slowing Product (MedTech)
Context: MedTech company (~200 employees). Enterprise deal pressure.
Problem: Needed SOC 2 fast, without distracting engineering from product delivery.
Delivered: Rapid assessment, gap analysis, and 90-day roadmap aligned to SOC 2 and future ISO.
Outcome: SOC 2 achieved. Controls designed to scale without major rework.
[Case 01]
Post-Incident SOC Reset (Enterprise)
Context: Large enterprise (5,000+ employees). Missed two real incidents.
Problem: High alert volume, low detection quality, no clear ownership.
Delivered: Detection strategy redesign, contextual data integration, updated playbooks.
Outcome: Alert noise reduced ~4x. Business-critical coverage improved from ~40% to 60%+.
[Case 02]
Fraud Prevention Program (Global SaaS)
Context: Global SaaS (~2,000 employees). Brand abuse and affiliate fraud impacting revenue.
Problem: Public abuse affecting trust and margins.
Delivered: Fraud risk map, detection strategy, scoring model, scalable workflow.
Outcome: Measurable impact within ~3 months. Reduced recurring abuse across vectors.
[Case 03]
Real Work
SOC 2 Readiness Without Slowing Product (MedTech)
Context: MedTech company (~200 employees). Enterprise deal pressure.
Problem: Needed SOC 2 fast, without distracting engineering from product delivery.
Delivered: Rapid assessment, gap analysis, and 90-day roadmap aligned to SOC 2 and future ISO.
Outcome: SOC 2 achieved. Controls designed to scale without major rework.
[Case 01]
Post-Incident SOC Reset (Enterprise)
Context: Large enterprise (5,000+ employees). Missed two real incidents.
Problem: High alert volume, low detection quality, no clear ownership.
Delivered: Detection strategy redesign, contextual data integration, updated playbooks.
Outcome: Alert noise reduced ~4x. Business-critical coverage improved from ~40% to 60%+.
[Case 02]
Fraud Prevention Program (Global SaaS)
Context: Global SaaS (~2,000 employees). Brand abuse and affiliate fraud impacting revenue.
Problem: Public abuse affecting trust and margins.
Delivered: Fraud risk map, detection strategy, scoring model, scalable workflow.
Outcome: Measurable impact within ~3 months. Reduced recurring abuse across vectors.
[Case 03]
Real Work
01
SOC 2 Without Slowing Product (MedTech)
Context: MedTech company (~200 employees). Enterprise deal pressure.
Problem: Needed SOC 2 fast, without distracting engineering from product delivery.
Delivered: Rapid assessment, gap analysis, and 90-day roadmap aligned to SOC 2 and future ISO.
Outcome: SOC 2 achieved. Controls designed to scale without major rework.
02
Post-Incident SOC Reset (Enterprise)
Context: Large enterprise (5,000+ employees). Missed two real incidents.
Problem: High alert volume, low detection quality, no clear ownership.
Delivered: Detection strategy redesign, contextual data integration, updated playbooks.
Outcome: Alert noise reduced ~4x. Business-critical coverage improved from ~40% to 60%+.
03
Fraud Prevention Program (Global SaaS)
Context: Global SaaS (~2,000 employees). Brand abuse and affiliate fraud impacting revenue.
Problem: Public abuse affecting trust and margins.
Delivered: Fraud risk map, detection strategy, scoring model, scalable workflow.
Outcome: Measurable impact within ~3 months. Reduced recurring abuse across vectors.
About us
Senior team, founder-led
Cyberable is a senior security and fraud advisory practice for scaling product companies.
Founded by Gleb Sukhodolskiy.
Built and scaled Security Operations, Fraud Prevention, and enterprise readiness programs in public SaaS and large enterprises, including banks and payment providers.
Most recently led Security Operations at Semrush, building lean detection and fraud capabilities aligned with business growth.
We work as a senior, founder-led advisory practice and can operate in a fractional capacity when needed. No junior layers. No checkbox compliance. Just systems that actually work.
About us
Cyberable is a senior security and fraud advisory practice for scaling product companies.
Founded by Gleb Sukhodolskiy
Built and scaled Security Operations, Fraud Prevention, and Enterprise Readiness programs in public SaaS and large enterprises, including banks and payment providers.
Most recently led Security Operations at Semrush, building lean detection and fraud capabilities aligned with business growth.
We work as a senior, founder-led advisory practice and can operate in a fractional capacity when needed.
No junior layers. No checkbox compliance. Just systems that actually work.
Lean Security by Design
Strong security does not require oversized teams. It requires clarity, focus, and systems built intentionally.
Automation and selective AI are tools we use to reduce noise, accelerate decisions, and keep security lean.
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Alert enrichment that improves signal quality and reduces triage load.
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Vulnerability validation that filters non-exploitable findings before they reach engineering.
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Fraud prioritization aligned with real revenue impact.
Fewer people. Better signals. Faster outcomes.
