Salary Intelligence

Revealed Salary Guide

Know your number and understand the market. A calculator that gives you a specific minimum salary target, plus a full reference guide covering pay ranges, compensation drivers, and regional benchmarks across six fields.

Data from Glassdoor · Levels.fyi · LinkedIn Salary · Revealed  ·  6 fields  ·  7 regions  ·  Updated June 2026


The tool
What should your minimum target salary be?

Five questions. A specific floor — calibrated to your field, level, company type, expertise, and location.

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What field are you in?
What's your level?
What type of company?
How would you describe your expertise?
Where are you based, or where will the role be based?
Your minimum target
$0
/ yr

This is a floor, not a ceiling. If you have deep specialization, rare domain experience, or are in a high-cost market, push toward the upper end of your range. Use this number as the point below which you decline without a serious conversation.

Market range for your profile
Your target
Market floor
Range top
Share your result or send the guide to a colleague

Why we built this
Six specialized fields. Almost no shared salary data.

Trust & Safety, Policy, Risk & Compliance, Cybersecurity, Privacy & Data, and Enforcement Operations sit at the intersection of tech, law, and operations — with no equivalent of a Radford survey, a Levels.fyi, or a Stack Overflow salary report to anchor against.

The problem
Titling is inconsistent
A “Specialist” at one company is a senior investigator with program ownership. At another it’s entry-level support. Titles don’t travel, which makes self-assessment genuinely hard.
No industry-wide survey exists
Engineering has Levels.fyi and Radford. Finance has Hays. T&S, policy, risk, cybersecurity, privacy, and enforcement operations have almost nothing comparable — most professionals are navigating blind.
Compensation ranges are extremely wide
The same role can pay 2–3× more depending on company size and funding stage. Without an anchor, it’s impossible to know if you’re being paid fairly.
What this guide covers
Base salary across 6 fields, 4 levels
Trust & Safety, Policy & Legal, Risk & Compliance, Cybersecurity, Privacy & Data, and Enforcement & Ops — from Analyst to Director. Base salary is the most comparable data point across organizations and company types.
7 regions in local currency
US Bay Area, other US, UK, EU, Canada, APAC, and Australia — with live currency conversion at prevailing rates.
Transparency that works both ways
Professionals negotiate from a stronger position. Hiring managers build better offers and close faster. Both sides benefit when the market is legible.
Base salary only, for now. Bonus and equity data is coming — particularly relevant at large tech where total comp can be 2–3× base. These figures are preliminary and will become more precise as more professionals contribute compensation data through Revealed.

What moves the number
Why compensation varies so much across these fields
Company type drives the largest gap
A manager in any of these fields at a large tech company can earn two to three times the same role at a startup, even before equity. Company size and funding stage are the single biggest variable across T&S, policy, risk, and security.
Equity is where the real gap opens
At large tech, equity often doubles or triples the base salary. A trust, policy, or security analyst earning $130k base may have $200k+ in total annual compensation. Comparing base salaries across company sizes understates the gap significantly.
Deep specialism earns a premium
Scaled enforcement, ML safety, AppSec, AML, cross-border regulatory expertise — professionals with rare, high-demand specializations consistently earn 10–15% above generalists at equivalent seniority.
Titling is inconsistent across the industry
A "Specialist" at one company is a senior investigator with program ownership. At another it's entry-level support. Titles don't travel well across organizations, which makes self-assessment harder than in engineering or finance.
The management premium is smaller than expected
Senior individual contributors with deep domain expertise often earn comparably to managers. The move into management is a smaller salary leap across all six fields than it is in engineering or product.
Demand is outpacing supply
AI safety regulation, new platform liability frameworks, expanding financial crime requirements, and stricter data privacy enforcement are generating demand across all six fields covered here. Benchmarks from two years ago are often already outdated.

Regional context
How pay compares across regions
Region Senior IC / Specialist Manager Director / Head Currency
US — Bay Area / NYC $138k – $195k $175k – $275k $260k – $420k+ USD
US — Other / Remote $110k – $165k $140k – $230k $210k – $360k USD
United Kingdom £70k – £105k £90k – £150k £130k – £240k GBP
European Union €75k – €110k €100k – €155k €140k – €250k EUR
Canada C$120k – C$175k C$155k – C$245k C$230k – C$380k CAD
Asia-Pacific (SG / HK) S$110k – S$165k S$145k – S$220k S$205k – S$340k SGD
Australia / New Zealand A$130k – A$190k A$165k – A$255k A$235k – A$390k AUD

Figures shown in local currency. Ranges are approximate market medians for Trust & Safety, Policy & Legal, Risk & Compliance, Cybersecurity, Privacy & Data, and Enforcement & Operations roles at mid-size to large tech companies, verified June 2026. Startup roles typically run 15–20% below these figures. The calculator above converts to local currency at prevailing exchange rates; figures are directional benchmarks, not precise market data.


Help us keep this guide current
Contribute your salary data, safely and privately.

The best salary data comes from people actually doing the work. Every Revealed profile that includes a minimum target compensation figure becomes part of the anonymized dataset that powers this guide.

You don't have to share your current salary or employer. Set a minimum target and your role — that's enough to improve the data for everyone in these fields.

We update this guide regularly. The more professionals who contribute, the more precise these ranges become across fields, levels, and regions.

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Build a free profile on Revealed. Takes about five minutes. Your current employer can't find you unless you allow it.
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Set your minimum target compensation. This is the floor you'd accept. You're not applying for anything.
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Your data feeds back into this guide. Anonymized and aggregated with others at your level, company type, and location.
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The right employers find you. If they pay to reveal your contact details, you hear from them. If not, you've still made the data better for everyone.

For employers

Building a team in these fields?

Revealed gives you access to a curated directory of professionals across T&S, policy, risk, compliance, and security. Minimum target compensation is visible before you reveal. No placement fees. Search by role, seniority, specialism, and salary range — pay only when you find someone worth contacting.


Found this useful?
Share it with your network — it's free, and the more people who use it, the better the data gets.
Methodology

How this data is built

Four sources, cross-referenced and validated. The goal is a directional benchmark grounded in real market data — not a single survey or a vendor estimate.

Revealed platform
Minimum target compensation set directly by candidates — verified, current, and specific to these fields. The only first-party source in this guide.
Glassdoor
Self-reported total pay including base and additional compensation. Strong coverage across seniority levels.
Levels.fyi
Verified compensation data including base, equity, and bonus. Particularly strong for senior and staff-level tech roles.
LinkedIn Salary
Aggregated salary data by title and location, drawn from member-reported figures across industries.

Ranges represent approximate 25th to 75th percentile unless otherwise stated. Non-US figures combine prevailing exchange rates with purchasing-power adjustment against US benchmarks — they are directional ranges, not precise local benchmarks, and should be verified against local sources. The minimum target calculator uses a weighted model across field, level, company type, specialism, and region; it produces a calibration floor, not a precise offer prediction. Coverage spans Trust & Safety, Policy & Legal, Risk & Compliance, Cybersecurity, Privacy & Data Protection, and Enforcement & Operations. Last updated June 2026.

This guide is a living document
As more professionals join the Revealed platform and set their minimum target compensation, the underlying data gets sharper. Benchmarks are refreshed as the candidate database grows — particularly for fields and regions where third-party survey coverage is thin. If you're a professional in these fields, the most useful thing you can do is set your number on Revealed — it improves the data for everyone.