Cyber Security
Engineering trust into systems before adversaries find the gaps
Our Cyber Security Center of Excellence is built around offensive security researchers, application-security engineers, cloud security architects, identity specialists, and SOC engineers. We help product companies build security into the heart of what they ship — and we help enterprises modernize their security posture across cloud, identity, application, and data layers. As AI reshapes both attack surfaces and defenses, our practice is investing heavily in LLM application security, AI-driven detection, and the new generation of agentic-AI threat models.
Our 10-year commitment
Security is no longer a control layer bolted on at the end — it is an engineering discipline that has to be designed in. We are building a long-term security CoE that combines deep offensive expertise, secure-by-design engineering, and AI-era threat intelligence.
Services we provide
The full breadth of Cyber Security capability we deliver — from strategy and architecture through engineering and operations.
Application Security & Secure SDLC
Threat modelling, secure code review, SAST/DAST/SCA tooling, and end-to-end secure-SDLC programs embedded into engineering teams.
Cloud & Kubernetes Security
CSPM/CWPP design, IaC scanning, runtime defense for containers, and zero-trust network architectures on AWS, Azure, and GCP.
Offensive Security & Red Teaming
Penetration testing, red-team exercises, purple-team engagements, web/mobile/API security testing, and adversary-emulation programs.
Identity & Access Engineering
IAM architecture, SSO/OIDC/SAML, customer IAM (CIAM), privileged access management, and just-in-time access controls.
SOC Modernization & Detection Engineering
SIEM/XDR engineering, detection-as-code, MITRE ATT&CK-aligned detection libraries, threat hunting, and SOC automation.
Data Protection & Privacy
DLP architecture, data classification, encryption and key management, privacy-by-design, and regulatory compliance (GDPR, HIPAA, PCI, SOC 2, ISO 27001).
AI / LLM Application Security
Threat modelling for AI products, prompt-injection and data-exfiltration red teaming, model and supply-chain security, and AI-era SOC playbooks.
Embedded Security Engineering Teams
Dedicated AppSec, CloudSec, and detection-engineering pods outsourced into client product and security organizations.
Clients we have served
Our Cyber Security practice serves both product-led companies building the next generation of software and service-led firms reselling our capability to their end clients.
Client names anonymized to protect engagement confidentiality.
Product Companies
A NASDAQ-listed cybersecurity product company
Cybersecurity ProductsCo-build their detection-engineering platform — content engineers and ML specialists embedded in their R&D organization.
A US identity-product unicorn
Identity / IAMDesigned and built parts of their authorization engine and secure SDK distribution pipeline.
An EU privacy-tech product firm
Privacy / Compliance TechBuilt the privacy-engineering automation that powers their flagship data-mapping and DSAR product.
A North American DevSecOps platform company
DevSecOps ProductsEngineering pod contributing to their cloud-security posture-management product across AWS, Azure, and GCP.
Service Companies & SIs
A top global IT services firm
IT ServicesProvide a security engineering bench staffing into their banking, insurance, and federal cybersecurity programs.
A Big-4 risk advisory practice
Risk & Cyber AdvisoryGreenPot is the implementation arm for several of their offensive-security and SOC-transformation programs.
A boutique MSSP (US East Coast)
Managed Security ServicesDetection-engineering and threat-hunting pods that ship under the MSSP's brand to their mid-market clients.
A global SI in financial services
Financial Services ITCapacity partner for their large-bank IAM and cloud-security transformation engagements.
Security engineers operating inside your perimeter
Security work is high-trust by nature. Our model is to embed senior security engineers directly inside client teams under proper background checks, NDAs, and access controls — so they can operate as insiders, with full context, over multi-year horizons. For product companies this means co-building security features. For MSSPs, SIs, and consulting firms it means our engineers ship as part of their team into their end clients.
A NASDAQ-listed cybersecurity product company
Embedded detection-engineering and ML pod inside their threat-research org.
A US managed security services provider
Ship detections and run threat hunts under the MSSP's brand for their enterprise clients.
A global financial-services SI
IAM and cloud-security engineers embedded into large-bank transformation programs.
Selected Case Studies
Anonymized engagement stories. The full library lives in our case studies hub.
Detection-engineering platform for a cybersecurity ISV
Problem
A listed cybersecurity product company was shipping detections by hand, leading to slow coverage growth and brittle releases.
Approach
Built a detection-as-code platform with automated testing, MITRE ATT&CK coverage tracking, and CI/CD for content — embedded a dedicated content-engineering pod inside their threat-research org.
Outcome
Detection coverage grew rapidly with measured quality; mean time to ship a new detection collapsed; the platform became a customer-visible competitive differentiator.
Impact
Cloud security transformation for a global bank
Problem
A global bank's move to AWS and Azure had outpaced its security tooling, leaving gaps in posture management, runtime defense, and IAM hygiene.
Approach
Designed a multi-cloud CSPM/CWPP architecture, automated IaC scanning in every pipeline, rolled out runtime defense for Kubernetes, and re-architected privileged access.
Outcome
Posture scoring improved across all accounts within two quarters; critical findings dropped sharply; the program passed regulator review.
Impact
LLM application security for an AI scale-up
Problem
An AI scale-up shipping LLM-powered products to regulated enterprises needed credible security assurance for prompt-injection, data exfiltration, and supply-chain risk.
Approach
Threat-modelled the AI product, built an LLM red-team harness, hardened RAG pipelines and tool-use surfaces, and produced a security narrative their enterprise buyers could trust.
Outcome
Closed multiple enterprise deals that had been blocked on security review; security became a sales asset rather than a friction point.
Impact
Technologies & Tools
The stack our Cyber Security engineers go deep on.
Partner with our Cyber Security CoE
Whether you need a dedicated pod, embedded engineers, or a full program — let's map your goals to our practice.
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