Browse the full catalog of hands-on environments.
Run a live compromise of a pipeline and cluster end to end: detect it, contain it, evict the attacker, and produce the timeline and control changes that come out of it.
Reduce thousands of raw scanner findings to the handful that matter, using exploitability, reachability and real exposure rather than CVSS score alone.
Find the over-permissioned roles in a cloud account, use access data to derive the permissions actually in use, and tighten the policies without breaking the workloads.
Define alert rules and dashboards as version-controlled code, test them against replayed attack telemetry, and ship them through a pipeline like any other artifact.
Attack a running workload, watch the default Falco rules miss part of it, then write and tune custom rules that catch the behaviour without burying you in noise.
Exploit broken object-level and function-level authorization in a running API, fix the checks, and add the automated tests that keep the fixes honest.
Stand up a per-merge-request environment, run an authenticated dynamic scan against the running application, and turn the results into a pipeline gate that does not flake.
Give each service a cryptographic identity, enforce mTLS between them, and confirm that an unidentified workload on the same network is refused rather than trusted.
Move hardcoded application secrets into a managed secret store issuing short-lived dynamic credentials, and confirm that a stolen credential expires before it is useful.
Express your security standards as admission policies, test them against manifests that should pass and manifests that should not, and roll them out in audit mode before they start blocking deployments.
Escalate from a limited service account to cluster-admin through over-granted RBAC verbs, then rewrite the roles and prove the same path is closed.
Scan Terraform for the misconfigurations that become public buckets and open security groups, fix them, and wire the scan into the plan stage where it blocks a merge.
Sign container images and provenance attestations in the pipeline, then enforce verification at deploy time so an unsigned or tampered artifact cannot run.
Steal pipeline credentials through a malicious build step and a poisoned dependency, then lock the pipeline down with scoped tokens, isolated runners and protected environments.
Break out of a deliberately misconfigured container to reach the host, then apply the runtime and admission controls that make the same escape fail.
Take a bloated application image that runs as root and rebuild it as a minimal, non-root, reproducible image, measuring the vulnerability count at every step.
Generate SBOMs for a set of build artifacts and use them to answer, in minutes rather than days, which deployed services contain a newly disclosed vulnerable component.
Add a dependency scan that fails a build on exploitable CVEs, then work through the upgrades, exceptions and expiry dates that keep the gate from being quietly switched off.
Write, test and tune your own static analysis rules against a vulnerable codebase, then judge them on false positives as well as on what they catch.
An AWS credential is sitting in your Git history. Detect it with gitleaks, rotate it, purge it from every commit with git filter-repo, and add the local and pipeline controls that stop it coming back.
Find hardcoded credentials, vulnerable dependencies and insecure infrastructure code in a real repository before any of it reaches production.
