AI-augmented offensive security testing, validated by experienced testers — for web applications, APIs, networks, cloud and AI systems.
Your attack surface changes every time you ship. An annual penetration test captures one moment and leaves you exposed for the rest of the year — and a long PDF of unprioritised findings doesn't help your engineers fix what matters.
We combine AI-driven attack-surface discovery and continuous scanning with manual testing by senior security engineers. Automation covers breadth; people cover depth — chaining vulnerabilities, testing business logic and ruling out false positives before anything reaches your team.
Findings arrive in a live dashboard as they are validated, with clear reproduction steps, business impact and remediation guidance. Once you've fixed an issue, we re-test it — as many times as it takes.
Because we build AI systems ourselves, we test them too: LLM applications, agents and retrieval pipelines, against the OWASP Top 10 for LLM Applications — including prompt injection and data leakage.
Manual and AI-augmented testing of web applications and REST, GraphQL and other APIs — authentication, authorisation, business logic, injection and data exposure.
External and internal testing of networks, servers and services to find exposed services, misconfigurations and the paths an attacker could chain together.
Assessment of cloud accounts and workloads on the major platforms for misconfiguration, excessive permissions and exposed data.
Security testing for LLM applications, agents and RAG pipelines, aligned to the OWASP Top 10 for LLM Applications.
AI-driven discovery of your internet-facing assets and continuous scanning between manual tests, so new exposures are found as they appear.
Objective-based adversary simulation mapped to MITRE ATT&CK — testing detection and response, not just prevention.
Web application security risks
Prompt injection & AI application security
Penetration Testing Execution Standard
Technical guide to security testing
Adversary tactics for red team exercises
Indian Computer Emergency Response Team guidelines
Information security management controls
Payment card industry data security
We agree targets, rules of engagement, testing windows and success criteria, and confirm written authorisation before any testing begins.
AI-driven reconnaissance maps your attack surface, and continuous scanning establishes a baseline.
Senior testers carry out manual and AI-augmented testing following PTES and NIST SP 800-115, validating every finding.
Findings go live on the dashboard as they are confirmed. Fix, then request a re-test — as often as you need.
We agree testing windows, rate limits and out-of-scope actions in advance, avoid destructive techniques unless you explicitly approve them, and can test against staging where it mirrors production.
Scanners find candidates. Our testers confirm, chain and prioritise them, and test the business logic scanners can't understand — so you only see validated findings.
Within your engagement, once you've fixed a finding we verify the fix — however many rounds it takes. Re-tests are part of the service, not an extra.
Reports map findings to OWASP, ISO 27001 and PCI-DSS controls and include the scope, methodology and evidence auditors typically ask for. If you need a specific format, tell us during scoping.
Yes. We test LLM applications, agents and retrieval pipelines against the OWASP Top 10 for LLM Applications, including prompt injection, data leakage and excessive agency.
Agentic AI, machine learning, NLP & LLMs and deep learning — designed, built and operated by senior practitioners, guided by a principal AI architect from the first framing conversation to production.
View serviceAlready have AI in production? We audit, tune and stabilise — improving quality, cost and latency, and building the evaluation discipline your team needs to keep it that way.
View serviceAI-assisted golden image creation, fleet deployment and OS hardening — build once, lock it down, and keep every endpoint drift-free against a hardened baseline.
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