From a high-converting website to a verified attack path, DataKnits helps teams design, build, test, and harden the systems their business depends on.
Our multidisciplinary team combines product thinking, engineering discipline, and security expertise. Engagements can be focused or connected end to end: create the experience, integrate the data, find the weaknesses, and improve the controls.
Clear deliverables, practical recommendations, and a path from first assessment to lasting improvement.
Modern, responsive websites that make complex products easy to understand and simple to act on.
Think like an adversary. Defend with confidence. We validate what attackers can reach, chain, and impact.
Manual and automated testing across authentication, authorization, business logic, integrations, and modern API surfaces.
Architectural and adversarial reviews for AWS, Azure, Google Cloud, Kubernetes, containers, CI/CD, and infrastructure as code.
Find realistic routes from exposed services and credentials to privileged compromise across networks, endpoints, servers, and identity systems.
Android, iOS, thick-client, thin-client, RDP, Citrix, and VDI testing with static, dynamic, runtime, and reverse-engineering techniques.
Assess prompt injection, jailbreaks, RAG, vector databases, agents, plugins, excessive agency, data leakage, and model abuse.
Turn external exposure, adversary research, indicators, campaigns, and public signals into actionable security decisions.
Improve detection engineering, alert quality, threat hunting, SOC maturity, vulnerability prioritization, and remediation verification.
Design dependable data platforms, ETL pipelines, cloud migrations, integrations, and governed lakehouse foundations with DataKnits.
Every engagement starts with context, ends with decisions, and leaves your team with artifacts they can use. For security work, that means controlled validation and business-focused reporting—not a spreadsheet of unexplained findings.
Discuss your requirementsAlign goals, systems, users, constraints, and success measures.
Design, engineer, assess, and test with a transparent delivery rhythm.
Hand over findings, source assets, recommendations, and next actions.