Our 14 security testing disciplines run through one authorized, non-interactive pipeline — consistent methodology, consistent reporting, no gaps between tools. Around that core sit the adjacent services teams ask us for next: quality engineering, cloud and infrastructure work, observability, and AI & data services — held to the same standards of evidence and delivery.
Security testing
The core practice: every layer an attacker can reach, tested to the OWASP Testing Guide and verified by hand before it reaches your report.
Automated and manual injection testing against every JMX-defined endpoint, GET and POST, with configurable risk/level depth and DB enumeration.
sqlmap-drivenReflected, stored, and DOM-based XSS across forms and parameters, plus a second opinion on SQLi, SSRF, command execution, and CRLF injection.
Wapiti-drivenTemplate-driven scanning against thousands of known CVEs, exposed panels, default logins, and common misconfigurations.
nuclei-drivenOut-of-band detection via interactsh for server-side request forgery and blind command-injection paths that never return output directly.
interactsh OOBalg=none downgrade, signature stripping, key confusion, and other JWT forgery techniques tested against real auth flows.
jwt_toolCross-tenant access checks run against two live accounts on separate tenants — the only way to prove authorization boundaries actually hold.
Dual-account testingLogin rate limiting, session fixation, logout invalidation, token expiry, and concurrent-session handling — with an optional real-password lockout check.
Auth flow analysisHTTP security header coverage, cookie flags, and CORS policy review against origin-reflection and overly permissive configurations.
HTTP layer auditProtocol, cipher suite, and certificate review — expired/weak certs, deprecated protocol versions, and insecure cipher negotiation.
testssl.sh-drivenDirectory and file brute-forcing for exposed .git, .env, backups, API docs, and forgotten hidden endpoints.
ffuf-drivenSource-level scanning for injection sinks, unsafe patterns, and logic flaws before they ever reach a running deployment.
semgrep-drivenFull git-history scanning for committed API keys, tokens, and credentials that git rm alone never actually removes.
gitleaks-drivenKnown-vulnerable and deprecated package detection across the dependency tree via npm/pnpm audit, with CVE lookups on the full tree, not just top-level packages.
Supply-chain scanPort scanning, WAF/fingerprint detection, subdomain and URL discovery, JS-link extraction, and HTTP request-smuggling checks, chained into one pass.
sn1per-orchestratedQuality engineering
Functional, exploratory, and performance testing — delivered with the same evidence trail and reporting discipline as the security work.
Functional coverage of user journeys, forms, and state transitions across browsers and viewports, with regression suites you keep.
Functional QACharter-based sessions that find the edge cases automation never asserts on — broken flows, confusing states, content and usability issues.
Session-basedUI and API automation (Playwright, Cypress, REST-assured) with stable selectors, CI integration, and reporting your team can read.
CI-wiredk6, JMeter, or Gatling scenarios for throughput and latency percentiles, plus soak and spike tests — with bottleneck analysis, not just a graph.
Load · soak · spikeContract, schema, negative-path, and multi-step workflow testing against your OpenAPI spec or Postman collections.
Contract & workflowWCAG 2.2 AA audits with keyboard and screen-reader passes, prioritised findings, and concrete remediation guidance.
WCAG 2.2 AACloud & infrastructure
Designed, built, migrated, and audited to the same security bar we test to. Two of these have dedicated engagement pages — follow the arrows.
Bare metal into any cloud, or one cloud platform to another — workload discovery, target architecture as IaC, wave-by-wave cutover with rollback, and an independent post-migration audit.
Bare metal → cloud · cloud → cloudData model and engine chosen from real access patterns, near-zero-downtime migration between cloud architectures, restore-tested backup and DR, and monitoring left in place.
Design · migrate · back up · monitorVPC/VNet layout, subnetting and segmentation, private connectivity and VPN, firewalls, DNS, and load balancing — delivered as reviewable infrastructure-as-code, not console clicks.
Network as codeReference architectures for scale and resilience, a Well-Architected-style review of an existing estate, then load- and failure-testing to prove it behaves under stress.
Design · review · testCI/CD pipeline design, Terraform / OpenTofu, and release automation, built with the same security discipline we test for.
IaC · CI/CDIndependent audit of infrastructure, cloud configuration, and architecture against CIS benchmarks and the compliance regime that applies to you.
Infra & config auditObservability & operations
Metrics, logs, traces, and alerting set up so problems surface as signals on a dashboard, not as support tickets.
Golden-signal dashboards, centralised log aggregation, distributed tracing, and alert rules with thresholds tuned to be actionable rather than noisy.
Metrics · logs · tracesDatadog, Grafana / Prometheus, New Relic, ELK / OpenSearch, CloudWatch, or Azure Monitor — instrumented into your stack and wired through to on-call.
Datadog · Grafana · ELKDefine SLOs and error budgets, set up alert routing and escalation, and write the runbooks for the failure modes that actually page you.
SLO · on-callCode-level tracing, slow-transaction and error-rate tracking, and per-release health so a regression is caught in staging, not by a customer.
APMOngoing threshold tuning, alert triage, and a monthly reliability report on a retainer — so the setup doesn't rot the moment the project ends.
RetainerAI & data services
Sourcing, labeling, and moving data — and stress-testing the AI systems built on top of it, with the same adversarial mindset as the security work.
Scoped web and API collection with a sampling strategy, licensing and provenance tracking, deduplication, and PII handling built in from the start.
Sourcing · provenanceImage, text, audio, and document labeling against written guidelines, with multi-pass review, gold sets, and inter-annotator agreement tracked as a metric.
Guidelines · QA · gold setsBatch and streaming ETL/ELT, orchestration with Airflow or Dagster, data-quality checks as a gate, and feature stores for downstream training and serving.
ETL/ELT · streamingBenchmark and task-based eval harnesses, bias and robustness checks, and adversarial prompt, jailbreak, and data-poisoning testing.
Eval · adversarialRetrieval pipelines, prompt and guardrail design, an evaluation loop, and a deployment hardened against prompt injection and data exfiltration.
Retrieval · guardrailsPrompt injection, tool and function-call abuse, training-data and model supply-chain risk, and output-handling flaws in AI-backed features.
AI red-teamSee how we bundle these into solutions for common engagement types.