Training course · Windsurf · Security & DevSecOps

Windsurf for Security and DevSecOps Teams

Develop with the Windsurf AI IDE and its Cascade agent: flows, memories, rules, workflows and safe use across the team.

Duration
2 days (14 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Windsurf for Security and DevSecOps Teams” is designed for roles such as Application security engineers and security champions in development teams, DevSecOps and platform engineers responsible for CI/CD pipelines and Penetration testers and red team members and shows step by step how to use Windsurf productively, safely and transparently in Security & DevSecOps – from the fundamentals to advanced workflows.

Windsurf is an AI-powered development environment built around its agent, Cascade. Cascade understands the structure of your project, follows your actions in the editor and terminal, and works with you according to the flow principle: you and the agent take turns on the same task without having to re-explain context over and over. In this two-day course you will learn how to use Cascade effectively for features, debugging and refactoring, and how to make the most of intelligent completion in your daily development work.

To keep results consistent across a team, you steer Cascade with global and workspace rules, rely on memories for lasting project knowledge and automate recurring procedures with workflows that run from a slash command. You will connect external tools through MCP, control how terminal commands are executed and decide which data Cascade is allowed to see. Finally, you will define rules for code review, security and data protection so that Windsurf can be used responsibly within your organisation and its existing processes.

AI coding assistants and agents affect application security from two directions. They speed up threat modelling, code review and detection engineering, yet they also produce new code faster than traditional security gates can absorb. Security and DevSecOps teams therefore use AI to triage SAST findings, propose fixes for vulnerabilities, harden CI/CD pipelines and scan infrastructure as code for misconfigurations. What matters is a controlled setup: agents running with least privilege, no secrets in the prompt context, every change traceable through a pull request and human sign-off on security-critical decisions. In this course you learn to use AI as a force multiplier for your security programme while keeping the new risks of generated code, prompt injection and insecure tool integrations firmly under control.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Application security engineers and security champions in development teams
  • DevSecOps and platform engineers responsible for CI/CD pipelines
  • Penetration testers and red team members
  • SOC analysts and detection engineers
  • Developers accountable for secure software supply chains

Typical challenges we address

  • A flood of SAST, DAST and SCA findings with a high share of false positives
  • Security review becomes a bottleneck as AI-assisted teams ship far more code
  • Misconfigurations in Terraform, Kubernetes manifests and cloud policies go unnoticed
  • New attack surfaces from LLM integrations, prompt injection and over-privileged agents

What you will be able to do

  • You use Cascade productively in flow for features, debugging and refactoring.
  • You steer Windsurf’s context precisely and keep sensitive content protected.
  • You maintain memories and rules that reliably enforce your project conventions.
  • You automate recurring procedures with workflows and connect external tools via MCP.
  • Use AI agents for triage, review and fix generation without giving up control over security-critical changes.
  • Integrate AI-assisted checks into CI/CD pipelines alongside your existing SAST, SCA and IaC scanners.
  • Assess and mitigate the specific risks of AI-generated code, prompt injection and agent tool access.

Course outline

Day 1

Module 1 Getting to know Windsurf and Cascade
  • Installation, importing existing editor settings and basic configuration
  • Cascade in code and chat mode: when the agent edits and when it only advises
  • The flow principle: how Cascade takes your editor and terminal actions into account
  • Intelligent completion and inline commands in everyday development
Module 2 Steering context
  • Understanding codebase indexing and referencing relevant files or directories
  • Bringing documentation, web sources and terminal output into context
  • Excluding sensitive content from context with ignore files
  • Structuring sessions and starting afresh when the topic changes
Module 3 Memories and rules for consistent results
  • Reviewing and maintaining auto-generated and manually created memories
  • Creating and versioning global and workspace rules
  • Expressing architecture, style and testing guidelines as effective rules
  • Activating rules selectively by file pattern or occasion
Module 4 Workflows and automation
  • Defining recurring procedures as workflows and launching them via slash command
  • Building workflows for release preparation, testing or code maintenance
  • Connecting MCP servers for issue trackers, databases or internal services
  • Controlling terminal command execution with allow and deny lists

Day 2

Module 5 Quality, review and governance
  • Tracing Cascade’s changes, accepting them partially or reverting them
  • Using a test-driven approach and preview features for verification
  • Team settings, data protection options and handling of secrets
  • Defining review processes and accountability for AI-generated code
Module 6 Practice lab: Security & DevSecOps
  • Faster threat modelling
  • SAST finding triage
  • Secure code review
  • Hardening IaC and containers
  • Detection engineering
  • Securing the supply chain
Module 7 Data protection, quality & transfer to daily work
  • Source code, vulnerability data and logs are highly sensitive: you learn which data may be shared with AI services, how to keep secrets out of the context and how AI use aligns with NIS2, the Cyber Resilience Act, the GDPR and the EU AI Act.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

Faster threat modelling

Derive STRIDE-based threat analyses from architecture descriptions and data flow diagrams, identify trust boundaries and turn countermeasures into testable requirements ready for the backlog. The model is updated rather than rebuilt when the architecture changes.

SAST finding triage

Match static analysis results against real code context, assess reachability and exploitability, dismiss false positives with a documented rationale and prepare minimal fixes for genuine vulnerabilities as pull requests.

Secure code review

Have pull requests checked specifically for injection flaws, broken authorisation, insecure deserialisation and cryptographic mistakes, with references to OWASP categories and a clear explanation for every finding.

Hardening IaC and containers

Analyse Terraform modules, Helm charts and Dockerfiles for over-privileged roles, exposed ports, missing encryption and unsafe base images, then generate hardened versions backed by policy-as-code rules.

Detection engineering

Draft Sigma rules, YARA signatures and SIEM queries from threat descriptions, validate them against test data and enrich documentation with the relevant MITRE ATT&CK techniques.

Securing the supply chain

Evaluate SBOMs, prioritise vulnerable dependencies, analyse upgrade paths including breaking changes and add pipeline steps for signing, provenance attestation and dependency pinning. Each update pull request explains the risk.

Possible hands-on projects

Finding triage bot

A script that ingests SARIF output from the pipeline, deduplicates findings, enriches them with code context and opens prioritised tickets with a suggested fix.

Secret scanning hook

A pre-commit hook with custom patterns for internal token formats, allowlist management and clear guidance on how to rotate a leaked secret.

Threat model generator

A small web app that turns a system description into a structured threat model with data flows, risks and mitigations, exportable as a document.

Prerequisites

You program regularly in at least one language and are familiar with Git and a modern IDE. You have hands-on experience in software development or operations and a working knowledge of application security, such as the OWASP Top 10 and CI/CD pipelines.

Technical requirements

Your own laptop with the Windsurf editor, Git and your usual toolchain installed; a Windsurf account with access to Cascade is required.

Data protection & compliance

Source code, vulnerability data and logs are highly sensitive: you learn which data may be shared with AI services, how to keep secrets out of the context and how AI use aligns with NIS2, the Cyber Resilience Act, the GDPR and the EU AI Act.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Tue, 24 November 2026 – Wed, 25 November 2026 Online Request
  • Wed, 2 December 2026 – Thu, 3 December 2026 Munich Request
  • Mon, 7 December 2026 – Tue, 8 December 2026 Online Request
  • Wed, 13 January 2027 – Thu, 14 January 2027 Online Request
  • Tue, 26 January 2027 – Wed, 27 January 2027 Berlin Request
  • Tue, 2 February 2027 – Wed, 3 February 2027 Online Request

Frequently asked questions

What does Windsurf mean by flows?

Flows describe the close collaboration between you and Cascade. The agent observes what you do in the editor and terminal and takes those actions into account in its next steps. As a result you do not have to keep explaining where you are, and you can move smoothly between doing the work yourself and delegating it to the agent.

How do memories, rules and workflows differ?

Memories store knowledge that Cascade has gathered while working or that you have explicitly recorded. Rules are guidelines you write that shape the agent’s behaviour permanently. Workflows are reusable sequences of steps for recurring tasks, launched with a slash command. Together they keep results consistent across the whole team.

Can I use Windsurf with my existing projects and languages?

Yes. Windsurf is language-agnostic and works with your existing toolchain, including build tools, package managers and test frameworks. Whether you work on back end, front end, data processing or infrastructure code, what matters is giving Cascade good rules and clear context. Each course variant adds the specific focus for your field.

Is AI-generated code a security risk?

AI assistants sometimes reproduce insecure patterns, outdated libraries or even non-existent package names. The risk is manageable when generated code passes the same gates as hand-written code: peer review, SAST, dependency scanning and tests. In the course you set up exactly these guardrails while using AI yourself to find and fix vulnerabilities faster.

Should an AI agent be allowed to apply security fixes on its own?

We recommend a tiered model: the agent analyses, proposes fixes and opens pull requests, while humans approve the merge. For low-risk routine work such as dependency updates with passing tests, more automation can make sense. You learn to design permissions, sandboxing and audit trails so every decision remains traceable.

How much does “Windsurf for Security and DevSecOps Teams” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 2 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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