“Build it right the first time. Or rebuild it later under duress.”

What We Do

• Secure GCP Landing Zone Architecture (Org, Projects, IAM, Networking)

• Multi-cloud security architecture (AWS, Azure, hybrid)

• Zero Trust Architecture design (NIST 800-207 aligned)

• Identity-first security models (SSO, conditional access, workload identity)

• Security-as-Code (policy enforcement via Terraform, OPA, etc.)

• Logging, monitoring, and detection architecture (Chronicle, SIEM, etc.)

Key Capabilities

• GCP-native security controls (IAM, VPC-SC, SCC, BeyondCorp)

• Cross-cloud governance standardization

• Segmentation and trust boundary design

• Secure connectivity (VPN, Interconnect, private services)

Outcomes

• Secure-by-default cloud environments

• Reduced misconfiguration risk (biggest cloud breach vector)

• Audit-ready architecture from Day 1

“Because giving an LLM access to your systems without guardrails is… bold.”

Aligned with Tridorian’s AI Apps, Agentic Workflows, and Gemini ecosystem

What We Do

• AI threat modeling (MAESTRO + STRIDE adaptation)

• Secure AI architecture design (RAG, MCP, agent controls)

• Securing AI in both model and data (architecture, training, inference, prompt injection defense)

• AI governance frameworks (policy, auditability, explainability)

• Secure deployment of Gemini, Vertex AI, and third-party models

Key Capabilities

• AI Architecture design and review

• Prompt injection mitigation strategies

• Data leakage prevention (training + inference layers)

• Agentic workflow security controls (tool use, chaining, identity)

• AI access control and policy enforcement (PEP/PDP patterns)

Outcomes

• AI systems that don’t become your next breach vector

• Governed, auditable AI deployments

• Reduced risk of model abuse, data poisoning, and leakage

“Translate ‘we should be secure’ into something that actually works.”

What We Do

• Enterprise security architecture design

• Secure application architecture (DevSecOps, SDLC integration)

• Threat modeling for applications, APIs, and platforms

• Security control plane design across environments

• Integration of security tooling into engineering workflows

Key Capabilities

• Secure software development lifecycle (SSDLC)

• API and microservices security

• Kubernetes / GKE security architecture

• Secrets management and key lifecycle design

Outcomes

• Security embedded into engineering (not bolted on later)

• Reduced vulnerability introduction rate

• Faster, safer development velocity

“Because ‘we think we’re secure’ doesn’t pass audits.”

What We Do

• SOC 2, ISO 27001, HIPAA, PCI readiness

• Enterprise risk assessments and risk register development

• Policy, standard, and control framework design

• Vendor risk management (TPRM)

• vCISO leadership and governance programs

Key Capabilities

• Control mapping across frameworks

• Audit defense and evidence readiness

• Security program maturity modeling

• Regulatory alignment (GDPR, CCPA, HIPAA, etc.)

Outcomes

• Audit-ready organizations

• Executive-level security clarity

• Measurable risk reduction

“We don’t replace your SOC (although we can). We make it not suck.”

What We Do

• Detection engineering (use cases, rules, playbooks)

• SIEM/SOAR architecture and optimization (Chronicle, Splunk, etc.)

• Threat modeling → detection mapping (ATT&CK / ATLAS aligned)

• Incident response planning and tabletop exercises

• Security operations maturity uplift

Key Capabilities

• Detection coverage engineering (reduce blind spots)

• Threat hunting frameworks

• Alert tuning and noise reduction

• SOC workflow optimization

Outcomes

• Higher fidelity detections (less noise, more signal)

• Faster response times

• SOC teams that operate like professionals, not firefighters

“Trust, but verify. Then break it anyway.”

What We Do

• Penetration testing (cloud, app, API, infrastructure)

• Red team / purple team exercises

• AI system exploitation testing (prompt injection, data exfiltration)

• Continuous security validation

Key Capabilities

• Real-world attack simulation

• Cloud-native attack path analysis

• AI/LLM abuse testing

• Integration with remediation workflows

Outcomes

• Proven security posture (not theoretical)

• Identified exploitable paths with actionable remediations

• Measurable improvement over time

“Your users are still your largest attack surface.”

What We Do

• Security awareness programs (role-based)

• Phishing simulation and behavioral training

• Developer security training

• Executive / board-level briefings and tabletop trainings

Key Capabilities

• Behavior-driven training models (not checkbox compliance)

• Social engineering defense

• Secure development education

Outcomes

• Reduced human-driven breaches

• Measurable behavior change

• Stronger security culture