App Security

Add Strix pentest scans to CI so each pull request is checked before merge

Find exploitable flaws in source code with Strix, each backed by a working exploit

Patch root causes of Strix pentest findings and re-test to confirm each fix works

Triage Dependabot and container image CVEs and plan dependency and base image fixes

Run focused security reviews and full codebase audits with verified findings

Trace source-to-sink taint flows in code to surface injection and data-flow risks

Scan a repo or pull request diff for vulnerabilities and suggest patches

Assess authorized REST, GraphQL and SOAP APIs for auth and rate-limit weaknesses

Review source code for security flaws with Semgrep, CodeQL patterns and fix checks

Find JWT validation and claim confusion bugs in CTF auth challenges

Trace OAuth and OIDC redirects, PKCE, state and token exchange flaws in CTFs

Find HTTP parser differentials and request smuggling routes in CTF setups

Trace dependency drift, registry pulls and build provenance in supply chain CTFs

Trace SSR template rendering and hydration payloads for enforcement gaps

Assess SAML, OIDC and OAuth2 single sign-on setups for misconfigurations

Test LLM apps and agents for prompt injection, tool abuse and RAG exposure

Assess software supply chain risk with SBOMs, dependency scans and build provenance

Build attack trees to map threat paths, defense gaps and stakeholder risks

Set up SAST scanners in CI to catch code vulnerabilities before release

Manage CI/CD secrets with Vault, AWS Secrets Manager and rotation

Turn threat models and business context into security requirements and test cases

Find system threats systematically with the STRIDE threat modeling method

Map identified threats to security controls and prioritize remediation plans

Check an AI agent codebase against the OWASP Agentic Security Top 10 risks

Generate and verify SHA-256 manifests to catch tampered agent plugins and tools

Verify security audit findings with code locations and taint traces before reporting

Set up CodeQL code scanning workflows and CLI analysis with SARIF output

Harden GitHub Actions workflows against script injection and risky triggers

Review MCP server source code for auth, injection and RCE risks with file evidence

Audit .mcp.json configs for hardcoded secrets, shell injection and unpinned packages

Configure GitHub secret scanning, push protection and custom patterns with remediation

Scan a codebase for security flaws by tracing data flows like a security researcher

Build STRIDE-A threat models with data flow diagrams and prioritized findings

Create Microsoft Threat Modeling Tool .tm7 files from a STRIDE threat model

Watch Content Security Policy violations for blocked-URL clusters and suspicious domains

Scan Solidity contracts with Slither and Mythril for reentrancy and access control bugs

Test iOS apps at runtime with Objection and Frida during authorized assessments

Check SBOM components against NVD CVEs to find vulnerable transitive dependencies

Test RAG vector stores for embedding inversion, cross-tenant leaks and data poisoning

Build a GitLab CI pipeline with SAST, DAST, container and secret scanning templates

Triage and deploy Patch Tuesday updates through WSUS or SCCM within remediation SLAs

Track vulnerability age against severity SLAs with automated escalation and metrics

Deploy DefectDojo to dedupe scanner findings and track remediation through its API

Track risk acceptances with approvals, compensating controls and automatic expiry

Run recurring vulnerability scans in Nessus, Qualys or OpenVAS and track fixes

Test REST, GraphQL and gRPC APIs for auth, rate limit and business logic flaws

Run a NIST 800-30 cyber risk assessment with likelihood, impact and risk scoring

Build a two-tier PKI with an offline root CA, issuing CA, CRLs and OCSP using OpenSSL

Store and use cryptographic keys on HSMs through PKCS#11 with SoftHSM2 for testing