# How Many Security Engineers Should You Hire? **TL;DR** There’s no universal answer to “how many security engineers should you hire.” Use the calculation framework in this guide to set a baseline from your developer headcount, then adjust for compliance, risk level, infrastructure complexity, and incident coverage needs. Map those numbers into the right mix of roles, review them regularly, and hire earlier if key triggers occur. > "If you think technology can solve your security problems, then you don’t understand the problems and you don’t understand the technology." - Bruce Schneier ## **A Quick Story Before the Numbers** I have been working in security for the last 5 years, understanding companies of all sizes from 5-person startups to Fortune 500 giants & have synced with multiple people to figure out how to balance security risk with team size. And I’ve seen a pattern: many organizations don’t think seriously about hiring security engineers until *after* something goes wrong…. *It was 2:13 AM when Mark, the CTO of a growing SaaS startup, got a call from the on-call developer. “Uh… I think we’ve been breached.”* *The logs showed suspicious API calls from an IP in another country, accessing sensitive customer data. Mark’s stomach sank. They had developers, they had infrastructure folks, but they didn’t have a dedicated security engineer.* *By sunrise, the team had patched the vulnerability but not before three major customers emailed asking for an “urgent security meeting.” Deals stalled. Trust wavered.* *A week later, in the board meeting, the CEO asked: “How did this happen? We thought AWS was secure.”* *Mark learned the hard way: Security isn’t automatic, and cloud doesn’t secure itself. The next question from the board was one you might be asking right now: ****“So… how many security engineers do we need?”*** This guide will break down **how to calculate your ideal security team size**, using a blend of real-world benchmarks, cost–risk analysis, and practical hiring frameworks that work for **founders, CISOs, and recruiters alike**. ## **Why This Question is Hard to Answer** Most “how many security engineers” articles fail because they start with opinions instead of variables. The truth: your number will change based on **business stage, compliance, risk, and infrastructure complexity**. Three reasons this is tricky: 1. **Security work is invisible until it’s missing,** you often only see the gaps *after* an incident. 2. **Security engineer is a broad role,** AppSec, CloudSec, Automation, SOC, GRC… each needs different coverage. 3. **No universal industry ratio exists,** the 1:80 dev baseline is a planning anchor, but risk, compliance, and complexity shift it up or down fast. 💡 **That’s why this blog gives you a formula + role breakdown + benchmarks** instead of a vague “it depends.” ## **Security Team Size Calculation Framework** Security engineering workload scales heavily with the size of your development and operations teams. **Multiple industry studies**, including the **ISC² Cybersecurity Workforce Study** and **BSIMM benchmarks**, suggest that one well-equipped security engineer can typically support security integration for **70–90 developers** before quality and coverage begin to drop with **80 often used as a practical planning baseline**. ### **Step 1 – Start with the Developer Ratio** Security engineering workload scales heavily with the size of your development and operations teams. * **Baseline formula:** * `Security Engineers = (Number of Developers / 80)` * **📌 When to Adjust This Baseline:** * **Go lower (1:40–60)** if: * You’re in a high-risk or regulated industry (fintech, defense, healthcare) * Your development teams ship code multiple times a day without mature DevSecOps automation * You’re preparing for a compliance audit that requires heavy manual work * **Go higher (1:100–120)** if: * Your risk exposure is low and you handle mostly internal tooling * You have mature CI/CD pipelines with integrated security scanning * A portion of security work is outsourced (MSSP, MDR, vCISO) ### **Step 2 – Adjust for Compliance & Regulatory Load** Each major compliance framework adds **extra security headcount** because of audit preparation, control implementation, and evidence gathering. * **Adjustment:** * SOC 2 Type II → +0.5 engineer * ISO 27001 → +0.5 engineer * PCI-DSS → +1 engineer * HIPAA/HITRUST → +1 engineer * Multiple frameworks → add cumulatively, but cap at +2 for efficiency. **Example:** A fintech with 50 developers, SOC 2 + PCI-DSS: * Base = `50 / 80 = 0.625` (~1 engineer) * Compliance = `+0.5 + 1` = 1.5 → ~**3 engineers total** (round up for real-world coverage). ### **Step 3 – Add Based on Risk Profile & Industry** Some industries face more frequent and targeted attacks: * **High-risk** (fintech, defense, crypto) → **x1.5 multiplier** on total * **Medium-risk** (SaaS, healthcare, e-commerce) → **x1.2 multiplier** * **Low-risk** (internal tools, non-sensitive data) → **no multiplier** **Example:** That same fintech above: `(3 engineers × 1.5 multiplier) = 4.5 → ~5 engineers`. ### **Step 4 – Factor in Infrastructure Complexity** More complexity = more surface area to secure. * Single cloud provider, monolith app → no adjustment * Multi-cloud OR microservices → +1 engineer * Multi-cloud AND multi-region + multiple products → +2 engineers ### **Step 5 – Plan for Incident Response Coverage** If you handle incident detection and response in-house (not fully outsourced to an MSSP/MDR), you need **Security Analysts** or engineers with SOC responsibilities. * Baseline: 1 analyst per ~500 monthly security alerts * Small orgs often outsource, mid-large orgs usually in-house. ### **Step 6 – Apply Hiring Triggers** Even if the math says you can delay, these events mean **hire now**: * First enterprise customer with strict security requirements * Security questionnaires taking >20% of engineering/security time * Major architecture changes (e.g., moving from single-region AWS to multi-region GCP/AWS) * 2+ security incidents in the last 12 months * Customer churn citing security concerns Some Staffing examples: | Company Size | Industry | Risk Level | Dev Count | Compliance | Infra Complexity | Recommended Security Engineers | Role Split | | --- | --- | --- | --- | --- | --- | --- | --- | | 20-person startup | SaaS | Medium | 8 | None | Simple | 1 | 1 Generalist SecEng | | 120-person scale-up | Fintech | High | 40 | SOC 2 + PCI | Multi-cloud | 5 | 2 AppSec, 1 CloudSec, 1 Automation, 1 Analyst | | 500-person enterprise | Healthcare SaaS | Medium | 150 | HIPAA + ISO 27001 | Multi-cloud, multi-region | 10 | 3 AppSec, 2 CloudSec, 2 IR/SOC, 2 GRC Eng, 1 Automation | | 1,000+ global bank | Banking | High | 400 | PCI + SOX | Complex, multi-region | 20+ | Full coverage across domains + dedicated threat hunting | 💡 **Pro Tip:** If your **calculated number is below 2**, always start with **at least 1 dedicated senior security engineer**. Anything less, and you’re just “hoping” security gets done. > *"If you think hiring professionals is expensive, try hiring amateurs."* - Red Adair ## **From Number to Roles: Staffing Models** By now, you’ve calculated your target headcount using the formula and flowchart. But **“5 security engineers” doesn’t mean hiring 5 people with the same skill set**. Security is a multi-domain discipline, and role allocation determines whether that headcount actually gives you coverage | Calculated Headcount | Suggested Role Mix | Key Responsibilities | | --- | --- | --- | | **1–2 engineers** | **1 Senior Generalist Security Engineer**, optional **Analyst** | Cover core AppSec + CloudSec, set up baseline tooling, handle incidents directly | | **3–6 engineers** | **1 AppSec Engineer**, **1 CloudSec Engineer**, **1 Automation Engineer**, optional **Security Analyst** | Shift from reactive → proactive; integrate security into SDLC; build automation | | **7–15 engineers** | **2–3 AppSec**, **2 CloudSec**, **2 SOC/Analysts**, **1 GRC Engineer**, **1 Automation Engineer** | Domain specialization; compliance automation; 24/7 detection and response | | **15+ engineers** | Dedicated domain teams (AppSec, CloudSec, SOC, GRC, Threat Hunting, Automation) | Full coverage, red/purple team integration, advanced threat simulations | 💡 **Tip:** If you calculated a fractional number (e.g., 2.6 engineers), **round up** and bias towards **generalists early, specialists later**. ## **Why That Number Makes Financial Sense** Security engineers aren’t just a cost they’re part of your **risk-reduction strategy**. While no hire can guarantee you’ll avoid incidents, the right team size greatly reduces the **likelihood** and **impact** of security breaches. Industry research shows the **average cost of a data breach** is in the millions, varying by sector: | Industry | Avg. Breach Cost (2023)¹ | Impact Drivers² | | --- | --- | --- | | Healthcare | **$10.93M** | HIPAA fines, patient safety risks, operational disruption | | Financial Services | **$5.90M** | Customer trust erosion, fraud losses, compliance penalties | | SaaS / Technology | **$4.45M** | Customer churn, SLA breaches, lost deals | | Retail | **$2.96M** | Payment fraud, seasonal revenue loss, brand damage | **Why this matters:** * Even a **single avoided or mitigated incident** can offset the cost of building or expanding your security team. * Breach costs go far beyond fines they include **downtime, customer churn, reputational damage**, and disrupted product roadmaps. For regulated sectors, a failed audit can cause **project delays, blocked contracts, and costly rework**. 💡 **Key takeaway:** Hiring to your calculated number is about **minimizing exposure** to an event that could set your business back months or years. **References:** ¹ IBM Security – *Cost of a Data Breach Report 2023*, IBM Report ² Verizon – *Data Breach Investigations Report 2023*, Verizon DBIR ## **Sanity Check: Industry Benchmarks** Still unsure if your number is realistic? Let’s compare it to **what similar companies actually do**. | Industry | Security Engineer: Developer Ratio | Notes | | --- | --- | --- | | SaaS (low-risk) | 1:80–1:120 | Leverages automation; low regulatory load | | Fintech / Banking | 1:40–1:80 | High compliance and fraud risk | | Healthcare | 1:50–1:90 | HIPAA/HITRUST compliance adds staffing load | | E-commerce | 1:80–1:100 | Seasonal risk spikes; payment security focus | **Formula Check:** * If you calculated 1:70 in fintech, you’re on the **tighter coverage** side (good for risk) * If you calculated 1:110 in healthcare, you’re likely **understaffed** compared to peers ## **Beyond Engineers: When to Add Analysts & Pentesters** Your calculation in Section 3 gives you the **number of security engineers** you need. But security coverage isn’t complete without **eyes-on-glass** and **adversary simulation**. That’s where **security analysts** and **pentesters** come in. --- ### **Security Analysts (SOC / IR Coverage)** * **Role:** Monitor alerts, investigate suspicious activity, and escalate incidents to engineers. * **When to Add In-House:** * You’re processing **500+ security alerts/month** internally. * Your customers or compliance framework require 24/7 monitoring. * You’ve already hired at least **2–3 engineers** and need to offload incident triage. * **Ratio:** ~1 analyst per 500–700 monthly alerts (or per 24/7 shift if running your own SOC). * **Outsourcing Tip:** Early-stage companies can use **MSSP/MDR providers** until incident volume justifies a full-time hire. --- ### **Pentesters (Offensive Security Testers)** * **Role:** Simulate real-world attacks to uncover vulnerabilities before threat actors do. * **When to Engage:** * Before major product launches. * At least **once per year** for compliance (e.g., PCI-DSS requires annual testing). * After significant infrastructure changes (e.g., multi-region expansion, new authentication systems). * **In-House vs. External:** * Early-stage → Hire external pentesters per engagement (quarterly or annually). * Mature org → Consider 1–2 full-time red team members to work with blue team engineers continuously. * **Integration Tip:** Feed pentest findings into your engineering backlog with **clear remediation owners and deadlines**. ## **Outsourcing vs. In-House: Choosing the Right Mix** Your formula in Section 3 gives you a **target headcount**, but that doesn’t mean every role needs to be in-house from day one. Early and mid-stage companies often get better coverage per dollar by **outsourcing certain functions** until scale and incident volume justify full-time hires. ### **When to Outsource** Outsourcing works best for functions that are: * **24/7 by nature** (SOC monitoring, threat intelligence) * **Specialized & periodic** (pentesting, compliance audits) * **Tool-heavy** with high platform costs (SIEM, threat hunting platforms) **Common outsourced services:** * **MSSP/MDR** → 24/7 monitoring & alert triage * **vCISO** → Strategic guidance without a full-time CISO hire * **External Pentesters** → Annual or quarterly security testing * **GRC Consultants** → Compliance readiness for frameworks like SOC 2, ISO 27001 ### **When to Keep In-House** You want in-house engineers for roles that require: * **Deep integration into product/dev workflows** (AppSec, CloudSec) * **Continuous automation & tooling improvements** (Security Automation Engineers) * **Immediate incident handling** where time-to-response is critical 💡 **General Rule:** * If it involves **building security into the product or infrastructure**, keep it in-house. * If it involves **watching for threats or periodic testing**, it can often start outsourced. ### **Scaling Path** * **Stage 1 (0–2 Engineers)** → Outsource SOC, pentesting, and compliance; keep one generalist in-house. * **Stage 2 (3–6 Engineers)** → Bring AppSec, CloudSec, automation in-house; keep SOC outsourced. * **Stage 3 (7+ Engineers)** → Bring SOC/analysts in-house for faster response and tighter integration. ## **Common Security Hiring Mistakes to Avoid** **1\. Hiring only juniors to “save budget”** * Security is high-leverage work. Without senior guidance, juniors may miss high-impact risks or misconfigure tools. * Fix: Always have at least one senior generalist in the team before adding juniors. **2\. Skipping foundational security roles** * Example: Hiring a SOC analyst first when no one is there to fix the vulnerabilities they find. * Fix: Build engineering coverage first, then detection. **3\. Treating headcount as static** * Companies often set a number once and never re-evaluate. * Fix: Recalculate every time your **developer headcount changes by 30–40%** or you add new compliance obligations. **4\. Over-relying on tools instead of people** * SIEMs and scanners don’t replace engineers they need tuning, integration, and follow-up. * Fix: Hire engineers who can get value out of the tools, not just buy more software. **5\. Waiting for an incident to start hiring** * This leads to rushed, reactionary hiring and poor onboarding. * Fix: Use the formula in Section 3 to plan ahead, not after a breach. ## **The “Secure Enough” Threshold** In reality, every company has a point where it’s *secure enough* for its size, risk, and business model and adding more people past that point delivers diminishing returns. **How to know you’re secure enough:** 1. **Coverage:** All critical assets (code, cloud, endpoints, identity) are continuously monitored and regularly tested. 2. **Process maturity:** Security reviews and testing are integrated into normal development workflows, not treated as special projects. 3. **Incident readiness:** You can detect, investigate, and respond to incidents within your defined SLA for high-severity events. 4. **Compliance health:** You can pass required audits without pulling engineers off product work for weeks at a time. 5. **Team sustainability:** Security engineers aren’t overloaded they have bandwidth for improvement projects, not just firefighting. 💡 **The point:** If you’ve met these conditions, your hiring goal shifts from **closing urgent gaps** to **optimizing, automating, and retaining talent**. That’s when you focus on deepening expertise (e.g., adding a threat hunter or security architect) instead of just adding more people. ## **📌 Quick Reference: Security Hiring Formula Recap** 1. **Baseline** → Dev count ÷ 80 = starting engineers 2. **Compliance Adjustment** → +0.5 to +1 per framework (max +2) 3. **Risk Multiplier** → High-risk ×1.5, Medium ×1.2, Low ×1.0 4. **Infra Complexity** → +1 (multi-cloud or microservices) / +2 (multi-cloud & multi-region) 5. **Incident Coverage** → +1 analyst per ~500 alerts/mo 6. **Hiring Triggers** → First enterprise deal, compliance deadline, major infra change, >2 incidents/year ## Conclusion Working with different teams, I’ve seen how easy it is to either delay security hiring until there’s a problem, or add people without a clear plan. Both can cost more than they save. The framework in this guide might help you strike the right balance, hiring the right roles, at the right time, to keep your business secure without slowing momentum. Revisit your numbers every quarter, or whenever your developer headcount grows, your compliance scope changes, or your threat environment shifts. Security hiring isn’t a one-off decision it should evolve with your business. > "Security is about people, process, and technology - in that order." - Bruce Schneier **Let’s Talk Security Hiring** I’m always open to meaningful conversations — especially about security strategy, hiring, and scaling security teams. If you’ve got a challenge, a question, or just want a different perspective, let’s connect. 📅 **Book a 30-min slot:** [cal.com/rahulj/30min](https://cal.com/rahulj/30min) Happy to share what I know, swap ideas, or just listen.