AWS, GCP, and Azure baselines.
BeitSystems delivers cloud security baselines for financial-services workloads across AWS, GCP, and Azure. Native control surfaces including GuardDuty, Security Hub, CloudTrail, Config, GCP SCC, and Azure equivalents are wired into continuous misconfiguration assessment, vulnerability management, and encryption enforcement. DevSecOps pipelines integrate SAST, DAST, and dependency scanning. Policy-as-code is wired through CI/CD. Detection engineering runs in SIEM with rules tuned for financial workloads.
For customer-facing financial AI.
Financial AI deployments face an adversary with economic incentive. Prompt injection, model manipulation, and exfiltration are not theoretical here. BeitSystems delivers the safety layer: input sanitization, instruction guards, output validation against typed schemas, autonomy tiers, kill switches, and audit-grade logging. The deliverable is the defenses in production code, not the recommendations in a deck.
SOC 2, NIST AI RMF, ISO 42001.
Compliance engineering for financial workloads scoped against SOC 2, the NIST AI Risk Management Framework, ISO 42001 where it applies, and sovereign data residency frameworks in the regions where the firm operates. We engineer the controls. The audit is performed by qualified third parties.
For data residency and privacy in financial workloads.
Public LLM APIs are not an option for every financial workload. Customer PII, transaction data, and pre-public market research cannot leave the customer's perimeter. BeitSystems deploys open-weight models on customer infrastructure: on-premise, in the customer's cloud account, or inside a sovereign cloud tenant. The work spans inference engine selection (vLLM, TGI, llama.cpp), GPU resource management and autoscaling, retrieval and grounding pipelines, observability, and the security perimeter around the deployment.
The honest constraint.
We are not an investment bank, an asset manager, or a financial advisory firm. We do not build trading algorithms or credit scoring models. The work is engineering, security, and governance for financial systems that already have their economic logic.