SentinalStrat delivers mission-critical cyber security advisory services — from application security and cloud hardening to AI/LLM threat modeling and federal compliance. We protect your systems, infrastructure, and data with precision-engineered strategy.
Our practice areas cover the full spectrum of enterprise cyber risk — from code-level vulnerability analysis to federal compliance, cloud architecture, and the rapidly expanding frontier of AI security. Every engagement is led by practitioners who've operated at the highest levels of commercial and federal security.
End-to-end AppSec advisory integrating security into every phase of development — from architecture review to secure code analysis and runtime protection.
Automated static application security testing integrated into CI/CD pipelines to catch vulnerabilities in source code before deployment reaches production.
Runtime security testing that attacks your running applications to expose vulnerabilities invisible to static analysis — like a real adversary would.
Identify, inventory, and remediate risks in open-source libraries, third-party components, and software supply chain dependencies.
Comprehensive cloud security posture management across AWS, Azure, and GCP — from IAM hardening and network segmentation to container and Kubernetes security.
Ethical hacking engagements that simulate real-world adversaries across your network, applications, and social engineering attack vectors.
Strategic security risk management, governance frameworks, policy development, and executive-level advisory to align security with business objectives.
End-to-end security advisory for Large Language Model deployments — from pre-production threat modeling through production monitoring and continuous red-teaming against adversarial AI attack vectors.
Adversarial penetration testing targeting AI/ML systems — jailbreaking, model inversion, membership inference, and data extraction attacks against production models and agentic systems.
Zero-trust identity architecture, privileged access management, MFA deployment, and directory hardening across enterprise environments.
Rapid-response retainer services and tabletop exercises to prepare, detect, contain, and recover from security incidents with minimal business impact.
Policy and governance frameworks for responsible AI deployment — aligning with NIST AI RMF, EU AI Act, OWASP LLM Top 10, and emerging federal AI directives.
Security and Privacy Controls for Federal Information Systems — full assessment, implementation, and ATO support.
Protecting Controlled Unclassified Information (CUI) in Non-Federal Systems — gap analysis through remediation.
Cybersecurity Maturity Model Certification — full Level 1, 2, and 3 readiness assessment and compliance advisory.
Minimum Acceptable Risk Standards for Exchanges — CMS MARS-E 2.0 compliance for healthcare marketplaces.
Federal Risk and Authorization Management Program — cloud service provider authorization support and readiness.
Service Organization Control reporting — gap assessment and control implementation for Type I and Type II audits.
Health Insurance Portability and Accountability Act — technical safeguards, risk analysis, and BAA management.
Payment Card Industry Data Security Standard — scope reduction, control implementation, and QSA preparation.
As organizations rapidly adopt AI and Large Language Models, new threat surfaces emerge at every layer. SentinalStrat provides specialized security advisory for AI systems — assessing, hardening, and monitoring your machine learning infrastructure against adversarial attacks and data exposure risks that traditional security programs weren't designed to address.
Prompt injection, jailbreaking, and adversarial input assessment for production LLM deployments and RAG pipelines.
Data poisoning attack vectors, training pipeline security reviews, and model supply chain risk assessment.
Structured red team exercises targeting AI systems, aligned with NIST AI RMF and emerging regulatory frameworks.
Runtime monitoring for data leakage, PII exposure, and content policy violations in deployed AI systems.
A dedicated practice area built for organizations deploying AI at scale. From early architecture review through continuous adversarial testing — we cover the full LLM security lifecycle.
Systematic exploitation of instruction-following vulnerabilities. We test direct and indirect prompt injection, goal hijacking, context manipulation, and multi-step jailbreak chains across production LLM endpoints and agentic pipelines.
Retrieval-Augmented Generation systems introduce new PII leakage and data boundary risks. We assess embedding stores, chunking strategies, access controls, and context injection paths that could expose sensitive enterprise data.
Adversarial attacks targeting the model lifecycle — data poisoning, model backdoors, and supply chain integrity. We audit training data pipelines, fine-tuning workflows, and third-party model provenance for embedded threats.
Evaluate the risk of proprietary model theft and training data reconstruction. We simulate membership inference, model stealing, and gradient-based extraction techniques to quantify your IP and data exposure.
LLM agents with tool-use and autonomous decision-making introduce compounded risk. We assess agentic workflows, multi-agent architectures, tool integrations, and privilege escalation paths within orchestration frameworks.
Continuous runtime detection of harmful outputs, guardrail bypasses, and policy violations in deployed AI systems. We design and validate monitoring architectures, safety classifiers, and incident alerting pipelines.
A time-boxed assessment covering your highest-priority AI threat surfaces — ideal for organizations deploying a first production LLM.
A deep, multi-week adversarial exercise across your entire AI stack — models, pipelines, agents, and integrations — led by senior AI security practitioners.
Ongoing advisory and testing coverage as your AI systems evolve — monthly assessments, advisory access, and incident support for the full AI lifecycle.
Deep-dive scoping: understanding your environment, tech stack, compliance obligations, and threat landscape.
Systematic evaluation using automated tooling and expert manual analysis to surface real risk — not checkbox compliance.
Findings correlated and prioritized by business impact, exploitability, and remediation complexity.
Actionable remediation roadmaps with implementation guidance, code-level fixes, and architecture recommendations.
Ongoing security posture tracking, continuous compliance monitoring, and advisor-on-retainer support.
Our team comprises former federal security practitioners, DoD contractors, and private-sector CISOs who have built and broken enterprise security programs. We don't just recommend — we implement.
Senior advisors personally lead every engagement. No handoffs to junior staff after the sales cycle.
We apply the same rigor used in classified federal environments to commercial engagements.
Rapid delivery cycles backed by proven methodology — fast engagements that never sacrifice depth or accuracy.
Security is continuous. We offer retainer models, ongoing advisory, and annual review cycles — not one-and-done reports.
Whether you're facing an urgent compliance deadline, planning a DevSecOps transformation, or navigating new AI security risks — SentinalStrat has the expertise to guide you through.