DevSecOps & Compliance

Security as an engineering practice, not a policy binder.
Compliance is a side-effect of an engineering org that takes security seriously. We bring the AI-augmented scanners, the threat models and the boring daily habits — and we red-team your AI systems while we’re at it.
ML behavioural analytics, anomaly detection, intelligent SIEM correlation
Semgrep, Snyk, GHAS · LLM-assisted triage, false-positive suppression
Automated attack surface mapping + human red team · quarterly cycle
Prompt-injection, jailbreak, data-exfiltration testing on your AI systems
Policy-as-code, secret scanning, signed artifacts, supply-chain attestation
SOC 2 Type II, ISO 27001, HIPAA, PCI-DSS · evidence collection on autopilot
OIDC everywhere, Vault, KMS, just-in-time access for production
ML-driven content analysis, behavioural risk scoring, user-level training

What we've actually moved.

A few rolling averages across active engagements. Quoting them is easy — the work behind them is the engagement.

7 mo

median time-to-SOC-2-Type-II for clients starting from zero

0

critical findings on the last 11 external pen-tests of platforms we operate

100%

of our active clients are audit-ready in the quarter they need to be

Want this calibrated to your stack?

AI Engineering

Custom agents, RAG over your docs, LLM fine-tuning, and production infrastructure your security team will sign off on.

AIOps & DevOps

CI/CD, infrastructure-as-code and observability — augmented with intelligent alerting. Engineers ship on Friday, models page themselves on Saturday

Cloud Platform & FinOps

AI-first SaaS products, LLM-integrated software, and generative UIs. We build production-grade applications that scale seamlessly.

Custom & Product Development

AI-first SaaS products, LLM-integrated software, and generative UIs. We build production-grade applications that scale seamlessly.

Data & MLOps

Governed lakehouses, robust MLOps lifecycles, and streaming pipelines. Turn raw telemetry into fine-tuning-ready assets

Frequently Asked Questions

Everything you need to know about working with TRIOTECH SYSTEMS.

How do you achieve a 7-month median timeline for SOC 2 Type II readiness from scratch?

We replace slow, manual spreadsheet collection with engineering-first compliance automation. By implementing policy-as-code and connecting automated evidence-gathering agents directly into your cloud platforms, CI/CD pipelines, and identity managers, we place your audit tracking on autopilot. This continuous compliance posture reduces human bottlenecking and gets your infrastructure audit-ready inside two quarters.

Traditional network penetration testing cannot stop structural vulnerabilities inside LLM deployments. AI Red-Teaming is a specialized adversarial testing methodology focused exclusively on your AI layer. We simulate real-world attacks against your live systems—including prompt-injection exploits, alignment jailbreaks, and indirect data-exfiltration vectors—to guarantee your models cannot be manipulated into exposing proprietary data or running unapproved systemic tasks.

Standard SAST, DAST, and dependency scanners often generate noisy alerts that block deployments and cause developer fatigue. We introduce secure, fine-tuned triage agents into your GitHub Actions or GitLab pipelines to analyze scanner outputs contextually. By understanding actual execution paths, the system automatically suppresses irrelevant warnings and flags real, exploitable vulnerabilities, reducing pipeline friction by over 90%.

We eliminate long-lived production credentials and hardcoded secrets entirely. By setting up centralized secrets management via HashiCorp Vault or Cloud KMS coupled with OpenID Connect (OIDC) identities, we issue short-lived, encrypted tokens. For operational infrastructure shifts, developers utilize automated Just-In-Time (JIT) access controls that grant temporary permissions dynamically, ensuring total traceability without hurting engineering velocity.

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