Guide

Web application security, the practical guide.

What web app security actually means in 2026, the threats that matter, the controls that work, and a workflow your team can ship this week. No theory-only sections, no enterprise-vendor sales pitch.

What it is

Web application security, in one paragraph.

Web application security is the practice of protecting the web-facing parts of your software, the browser app, the APIs behind it, the infrastructure those APIs run on, from attackers who want to read data they shouldn't, take actions they shouldn't, or knock the service offline. It covers everything observable from the outside (TLS, headers, cookies, CORS, DNS, email auth, network surface) and the code shipping into that surface (injection, secrets, broken access control, deserialization). It overlaps with infrastructure security but is distinct from it: a perfectly hardened cluster running an application with a missing CSP and a broken auth check is still wide open.

The work itself splits into three time horizons. Point-in-time checks: someone runs a scan or a pentest and produces a snapshot. Continuous monitoring: scheduled scans that catch drift on the next run. PR-level checks: SAST and dependency scans that catch issues before they merge. A working program uses all three, with most of the day-to-day weight on continuous monitoring because that's where misconfiguration drift actually shows up.

Why it matters

The web is the attack surface, and it's drifting.

Across recent Barrion scans, almost every tested site is missing a strict Content Security Policy. A clear majority are missing modern Permissions-Policy directives, and a meaningful share still serve deprecated TLS versions or expose server-version banners that hand attackers a free reconnaissance step. None of this is exotic, and most of it is quick to fix. The reason it stays broken is that nobody runs the check until something forces them to, an enterprise customer's security questionnaire, an annual audit, or a public incident.

The cost of staying out of date isn't theoretical. Verizon's Data Breach Investigations Report has listed web application attacks among its main breach patterns for years. Real-world breach reports show the same handful of categories repeating: misconfigured access control, leaked secrets, outdated components, and broken authentication. The pattern's stable enough that you can build a useful program around catching exactly those categories early, which is what continuous monitoring is for.

Key threats

The OWASP Top 10:2025, and what to do about it.

A01

Broken access control

Users reaching data or actions they shouldn't. IDOR, forced browsing, missing authorization checks on internal APIs, and (new in 2025) server-side request forgery. Catching this needs an authenticated probe, not just a header scan.
A02

Security misconfiguration

The biggest category in practice. Missing CSP, permissive CORS, default credentials, stack traces in production, debug routes shipped to prod.
A03

Software supply chain failures

Outdated dependencies with known CVEs, compromised npm or pip packages, and unprotected build pipelines. SCA catches the obvious cases; the hard part is knowing which ones are actually reachable in your code path.
A04

Cryptographic failures

Weak TLS, missing HSTS, secrets in URLs, JWTs signed with HS256 and a guessable secret. Protocol and header issues are observable from the outside and easy to detect.
A05

Injection

SQL, NoSQL, command, and template injection. Modern frameworks reduce the surface, but custom query builders and dynamic eval keep this category alive.
A06

Insecure design

Logic flaws no scanner catches by reading bytes. Rate-limit bypass, race conditions in checkout, password reset flows that leak account existence.
A07

Authentication failures

Credential stuffing without rate limits, predictable session tokens, MFA that can be skipped via a forgotten endpoint. Often paired with A01.
A08

Software or data integrity failures

Unverified updates, deserialization of untrusted input, and code or data trusted without an integrity check.
A09

Security logging and alerting failures

If you can't see an attack happening, you can't respond. Missing audit logs, no alerting on auth anomalies, logs that don't survive a pod restart.
A10

Mishandling of exceptional conditions

Errors that fail open, leak stack traces or leave the app in a bad state. Unchecked edge cases in input, timeouts and resource limits.
The Barrion approach

Two surfaces, one workflow.

We split coverage into two products because they answer different questions. A passive scan tells you what's exposed right now. An AI pentest tells you what an attacker could actually do with what's already there. Most teams start with the free scan, then run AI pentests continuously on a schedule or on demand, with passive monitoring watching for drift in between. Read what continuous pentesting is or how Barrion's AI pentesting works.

How to get started

A workflow you can run this week.

You don't need a kickoff meeting. Pick a production URL, run a scan, work the top five findings, and turn on monitoring. The whole sequence below takes most teams a week of part-time effort, and most of that week is spent on the actual remediation. The Barrion side of it is closer to an afternoon.

  • ✓Run a free passive scan against your live production URL. The first report takes 60 seconds and surfaces TLS, headers, cookies, CORS, and DNS findings.
  • ✓Triage the top five critical findings. Each one ships with a plain-language description and a remediation step for your stack.
  • ✓Run an AI pentest to find out what's actually exploitable, beyond what a passive scan can see. It's self-serve and paid in credits, and you can set it to rerun on a schedule.
  • ✓Turn on passive monitoring so a configuration regression on Tuesday lands in your dashboard before Friday's standup.
  • ✓Pull the audit-ready PDF the next time a customer or auditor asks for evidence.
FAQ

Web app security, answered.

What does Barrion actually cover?
Two surfaces. AI pentesting is the active part: AI agents test your web app and APIs the way an attacker would, continuously on a schedule or on demand, and findings are checked against your live app before they're reported. The passive scan watches your live app between pentests, with 35+ checks on paid plans across HTTP and TLS, security headers, cookies, CORS, DNS, email auth and network exposure.
How does this compare to OWASP ZAP or Burp Suite?
ZAP and Burp Suite are powerful manual tools for security engineers. Barrion's passive monitoring is built on ZAP and we credit it openly. The difference is the operations layer around the engine: scheduled scans, deduped history, severity scoring against real-world impact, framework-specific remediation, audit exports and alerting. If you have the team to operate ZAP yourself, you don't need us. If you don't, that's the trade.
Is it safe to scan production?
Yes. Passive scans are read-only. They don't submit forms, don't brute-force endpoints, and don't touch state-changing routes. The scan engine observes what your application already exposes and never logs in. If you need testing behind a login, an AI pentest can use test credentials you provide.
How often should I scan?
Match your release cadence. Daily if you ship daily, weekly if you ship weekly. The Essential plan covers weekly cadences, and Business opens up daily. Between scheduled runs, manual scans are available on demand, useful right after a deploy to see whether the change introduced any drift.
Does Barrion produce compliance evidence?
Yes. Audit-ready PDF and CSV exports carry timestamped scan and pentest history, with CWE, WSTG and CVSS references on findings. They provide evidence that supports SOC 2, ISO 27001, PCI DSS, HIPAA, GDPR Article 32 and NIS2 work. They aren't mapped to framework controls, and your auditor decides what's accepted.
Who is Barrion built for?
SaaS teams and agencies that ship frequently, with or without a security team of their own. Engineering teams from a few developers to platform teams at larger orgs. The free tier runs real production-safe checks, and paid plans start at €199/month with no annual minimum.

Run your first passive scan.

Free, in your browser, no credit card. See the score, the findings and the fixes in under a minute.

A scan shows the surface. A pentest tests what gets in.

Passive scan

  • Reads what your app already exposes
  • Never logs in or submits a form
  • Cannot confirm what is exploitable

Active AI pentest

  • Tests your app the way an attacker would
  • Chains requests to confirm real exploits
  • Replays findings against your live app
  • Runs on a schedule or on demand, retests free

Probes for

  • SQL injection
  • Broken access control
  • IDOR
  • SSRF
  • Business-logic abuse

How AI pentesting works

Paid in credits. Free retests of found issues, and expert review from Standard up.