The full catalog.

Comprehensive evaluation of your current IT environment across compute, networking, storage, databases, and operations — producing a prioritized modernization roadmap.

Target-state architecture for compute, networking, and storage that addresses the gaps identified in assessment and aligns with business growth plans.

Guided implementation of the target-state architecture — configuration standards, automation, and operational tooling deployment.

Network architecture covering LAN/WAN, SD-WAN, DNS, load balancing, and connectivity to cloud environments.

Security and operational hardening for database platforms — access controls, encryption, audit logging, and performance baselines.

IT Service Management program design covering incident, change, problem, and service request management aligned to ITIL 4.

Storage strategy, backup architecture, and disaster recovery planning — including immutability, tiering, and validated recovery procedures.

Operational monitoring strategy, automation framework, and runbook development covering infrastructure, application, and business service health.

Evaluate detection, alerting, investigation, and response capabilities across six domains — visibility, detection engineering, alert management, investigation capability, incident response, and program governance.

End-to-end SOC design and implementation — operating model, SIEM architecture, detection rules mapped to ATT&CK, SOAR playbooks, and analyst enablement.

Build a vulnerability management program with risk-based prioritization, SLA-driven remediation workflows, exception management, and attack surface integration.

Assessment and architecture for identity security — IAM consolidation, MFA enforcement, RBAC/ABAC design, privileged access management, and service account governance.

Transform your SIEM from a log aggregator into an effective detection system — ATT&CK-aligned rules, tuned alerts, SOAR integration, and detection-as-code methodology.

Structured threat hunting program — hypothesis-driven hunts, data source requirements, and integration with detection engineering.

Continuous external asset discovery and monitoring — deploying ASM tooling, validating the external asset inventory, and building governance to maintain coverage.

Scoping, coordinating, and interpreting penetration testing engagements — ensuring tests are properly scoped and results translate into actionable remediation.

Vendor-independent tool selection — requirements-first evaluation, client-designed PoC tests, total cost of ownership analysis, and integration assessment.

Get full coverage and accurate signal from the vulnerability scanners you already own — authenticated scan configuration, policy calibration, SIEM/ticketing integration, and coverage baseline.

Foundational diagnostic — a program-level maturity assessment against a recognized framework (NIST CSF, ISO 27001, CIS Controls, or custom hybrid) producing a scored baseline and actionable roadmap.

Complete policy library authored in your organization's voice — structured architecture of parent policies and supporting standards, mapped to compliance frameworks.

End-to-end readiness for SOC 2, ISO 27001, PCI DSS, HIPAA, or CMMC — policies, control matrix, evidence collection processes, and operational model for continuous compliance.

Formal ERM program — risk management framework, populated operational risk register, risk appetite and tolerance statements, and board/executive reporting.

Structured TPRM program — vendor inventory and tiering, assessment questionnaires, contractual security requirements, and ongoing monitoring across the vendor lifecycle.

IR plan, scenario-specific playbooks, communication frameworks, and a facilitated tabletop exercise — building the preparedness infrastructure for when incidents occur.

Data classification framework with handling requirements, critical data flow mapping, DLP strategy, and retention alignment.

Program design — role-based training curriculum, phishing simulation framework, policy acknowledgement process, and behavior-change metrics.

Security-focused BCP/DR evaluation — ransomware resilience, backup immutability, recovery access controls, and continuity plan security alignment.

Independent security assessment of a specific vendor or supplier — structured questionnaire, documentation review, independent technical validation, and risk-rated findings with contractual protection recommendations.

Evaluate segmentation effectiveness, firewall rule hygiene, remote access architecture, network access controls, DNS/web security, and east-west traffic visibility.

Complete, implementation-ready Zero Trust architecture grounded in NIST SP 800-207 — trust zones, microsegmentation, ZTNA/SASE, identity-aware access policies, and phased migration plan.

Rulebase analysis to identify unused rules, overly broad permits, and undocumented exceptions — plus platform hardening against CIS Benchmarks.

Activate underutilized NGFW capabilities (App-ID, SSL inspection, IPS, URL filtering) and calibrate WAF policies for sustainable blocking mode using traffic-informed tuning.

Point-in-time evaluation across 8 security domains — IAM, networking, data protection, compute, logging, governance, DevSecOps, and compliance alignment.

Security-first cloud foundation — account structure, IAM architecture, network topology, centralized logging, policy-as-code guardrails, and shared services.

Embed security controls into CI/CD pipelines — secrets detection, SAST, SCA, container scanning, IaC security, and SBOM generation with calibration-before-enforcement.

Cloud-native detection library targeting cloud-specific attack techniques — mapped to MITRE ATT&CK for Cloud, paired with analyst runbooks.

IAM role model, permission structure, service identity governance, privileged access management, and access governance across cloud and hybrid identity.

Container security strategy — image scanning, registry enforcement, runtime protection requirements, Kubernetes RBAC, network policies, and secrets management.

Cloud-specific compliance readiness — mapping cloud controls to framework requirements, evidence collection, and continuous compliance monitoring.

Ongoing posture management — CSPM strategy, misconfiguration detection, remediation workflows, and drift management.

Secrets management architecture — vault strategy, rotation policies, developer workflows, and integration with CI/CD and runtime environments.

Close the findings from your cloud security assessment, CSPM, or penetration test — misconfigurations corrected, IAM tightened, logging enabled, encryption configured, all delivered as IaC to prevent regression.

End-to-end governance program structured around five pillars: Policy & Standards, Risk Management, Governance Operations, Third-Party AI Security, and Ethics & Responsible AI.

Technical security architecture for LLM applications — reference architectures, AI-specific threat modeling (STRIDE applied to AI trust boundaries), agent authorization, and runtime guardrails.

Current-state evaluation of AI security posture — inventory of AI systems, risk assessment, governance maturity scoring, and prioritized improvement roadmap.

Adversarial testing of AI systems — prompt injection, data exfiltration, jailbreaking, tool abuse, and boundary testing against defined threat scenarios.

Security for the ML pipeline — training data protection, model registry governance, deployment pipeline security, and inference endpoint hardening.

Adversarial testing of LLM-powered applications — prompt injection, jailbreaking, data extraction, insecure output handling, and trust boundary failures. Every finding demonstrated with a proof-of-concept interaction sequence.

Security assessment of multi-agent AI systems — tool authorization, inter-agent trust boundaries, memory system security, human oversight mechanisms, and privilege escalation across agent chains.

Security assessment of retrieval-augmented generation pipelines — vector store access control, ingestion pipeline security, indirect prompt injection via retrieved documents, and document corpus integrity.

Manual and automated review of smart contract code — logic analysis, vulnerability scanning, access control review, and gas optimization assessment.

Comprehensive evaluation of DeFi protocol risk — smart contract security, economic attack vectors, oracle dependencies, and governance mechanism review.

Custodial infrastructure design — multi-signature architectures, HSM integration, key ceremony procedures, and disaster recovery for digital assets.

Real-time monitoring strategy for on-chain activity — anomaly detection, transaction monitoring, and incident response for blockchain environments.

Security evaluation of cross-chain bridge implementations — validator security, message verification, oracle integrity, and economic incentive analysis.

Regulatory compliance advisory for digital asset operations — AML/KYC requirements, securities classification analysis, and jurisdiction-specific compliance mapping.

Complete application security program — Secure SDLC framework, pipeline security architecture, coding standards, developer enablement, governance model, and threat modeling toolkit.

Implement a Secure SDLC across your development organization — security requirements, design review, code review, testing, and release verification integrated into existing workflows.

Embed security controls into CI/CD — secrets detection, SAST, SCA, container scanning, IaC security, and SBOM generation with calibration before enforcement.

Application penetration testing covering OWASP Top 10 and API Top 10 — scoping, execution, findings with reproduction steps, and remediation guidance.

Security evaluation of SaaS applications — multi-tenancy isolation, API security, data protection, authentication architecture, and compliance mapping.

Governance program for the dependencies, suppliers, and build artifacts your software relies on — dependency risk policy, SBOM program, supplier assessment framework, and SLSA alignment roadmap.

Adversary-perspective testing of applications, infrastructure, and cloud environments — every Critical/High finding is actually exploited, not assumed. Includes attacker narrative and remediation retest.

Manual API security assessment identifying authorization failures, data exposure, and business logic flaws that automated scanners miss — OWASP API Security Top 10 coverage with proof-of-concept requests.

Manual security review of application source code — injection flaws, auth weaknesses, authorization bypasses, cryptographic errors, and logic issues identified at the file, function, and line number level.

Structured threat models for in-scope systems — facilitated workshops producing data flow diagrams, STRIDE threat analysis, security requirements, and prioritized controls before code is written.

Hands-on secure coding training calibrated to your team's specific language stack and framework — not generic OWASP slides. Practical exercises, quick reference cards, and materials you own.