Secure your AI before attackers do.
Accelyst AI Shield is a comprehensive, lifecycle-driven security program designed to help organizations safely design, deploy, govern, and operate AI and LLM systems at scale — deployable entirely on your own infrastructure, with no data leaving your network.
Built for security analysts, compliance officers, developers, and enterprise risk managers across regulated industries including healthcare, financial services, insurance, and public sector.
Built on the A³ Framework — Adapt · Align · Augment
What is Accelyst AI Shield?
Defense-in-depth for your entire AI ecosystem.
Accelyst AI Shield is a defense-in-depth security and governance framework for AI and LLM ecosystems, covering the full lifecycle from ideation and architecture to production monitoring and continuous improvement.
It integrates traditional cybersecurity, cloud security, and DevSecOps practices with AI-specific threat modeling, governance, and continuous defense so your models are as protected as the data they process.
AI Shield deploys on your own infrastructure — on-premises, air-gapped, or private cloud. No model inputs, outputs, case data, or telemetry ever leaves your network. All audit records are stored and owned by your organization.
Why It Matters
AI and LLM systems introduce attack surfaces that traditional security programs were not designed to address.
Prompt Injection
Adversarial inputs that manipulate model behavior, bypass guardrails, or extract sensitive training data.
Data Poisoning
Corrupted training data that degrades model accuracy or introduces backdoor behaviors.
Model Theft
Unauthorized extraction of proprietary models, weights, and fine-tuning data.
Data Leakage
PII, PHI, or proprietary data exposed through model outputs, logs, or embeddings.
Shadow AI
Unauthorized AI usage across teams creating unmanaged risk and compliance exposure.
Agentic AI & MCP Exploitation
Compromised AI agents, MCP servers, and tool orchestration chains enabling privilege escalation, unauthorized data access, and cascading agent manipulation.
Supply Chain Attacks
Compromised third-party models, libraries, or plugins introducing vulnerabilities into your AI stack.
Security Program Lifecycle
Seven phases. Zero blind spots. Accelyst AI Shield covers every stage of the AI security lifecycle.
Discover
AI Discovery & Risk Assessment
- Inventory AI/LLM use cases, models, agents, MCPs, and data flows — including shadow AI
- AI-specific threat modeling (OWASP LLM Top 10, MITRE ATLAS)
- Risk mapping to NIST AI RMF, NIST CSF 2.0, NIST 800-53, ISO 42001
Design
Secure AI Architecture & Design
- Secure model deployment and orchestration patterns
- Input/output filtering, guardrails, and explainability
- Authentication, authorization, and secrets management
Govern
AI Governance, Policy & Compliance
- AI usage and data governance policy frameworks
- Regulatory alignment — HIPAA, GDPR, SOC 2, NIST AI RMF, California AI Transparency
- Data lineage tracing, model decision logic, and chain-of-custody audit records
Harden
Secure Implementation & Hardening
- Secure SDLC and DevSecOps for AI pipelines
- SAST, DAST, IAST, SCA for AI components
- LLM red-teaming and adversarial testing
Monitor
Continuous Monitoring & Assurance
- Runtime monitoring for misuse, drift, and anomalies
- SIEM integration and real-time alerting
- Model performance and behavioral baseline tracking
Respond
AI Incident Response & Recovery
- AI-specific incident response playbooks
- Forensic analysis, containment, and remediation
- Stakeholder communication and regulatory notification
Improve
Continuous Improvement
- Threat landscape re-evaluation and guardrail updates
- Audit readiness optimization and reporting
- Security posture maturity advancement
A3 Framework Integration
Every capability is anchored to a pillar so security is built into every phase of delivery.
Adapt
Discovery, Threat Modeling, Architecture
- AI Discovery & Inventory
- Threat Modeling (OWASP, MITRE)
- Secure Architecture Design
- Risk Assessment & Mapping
Align
Governance, Compliance, Monitoring
- Governance & Policy Frameworks
- Regulatory Compliance
- Auditability & Logging
- Continuous Monitoring
Augment
Red-Teaming, Incident Response, Improvement
- Secure DevSecOps Delivery
- LLM Red-Teaming
- Incident Response & Recovery
- Continuous Improvement
Response in Action
Detect. Block. Resolve. 90 seconds.
When a threat fires, here is exactly what happens — automatically, without manual configuration.
Attack detected
Prompt injection attempt hits LLM endpoint
LLM Guard blocks
Request blocked before model responds
SIEM alert created
Sentinel receives OCSF event, severity scored
Team notified
Teams message with payload & one-click playbook
Closed & logged
IP blocked, session terminated, audit record created
Compliance & Frameworks
Built on the standards your auditors expect.
Selected Engagements
State Judicial Court System
State Government Agency
Financial Regulator
Healthcare State Agency
References and case studies available upon request.
Common Questions
What security leaders ask before engaging.
Accelyst AI Shield is built for enterprises deploying AI/LLM systems in regulated industries — banking, healthcare, insurance, life sciences, and public sector — where security, compliance, and auditability are non-negotiable. Primary stakeholders include CISOs, security architects, compliance officers, enterprise risk managers, and AI/ML engineering teams.
No. Accelyst AI Shield covers the full lifecycle, starting from ideation and architecture review. In fact, the earlier you engage, the less expensive and disruptive security implementation becomes. We often start with a discovery and risk assessment for teams still in planning.
Traditional application security doesn't account for AI-specific attack vectors like prompt injection, data poisoning, model theft, or training data extraction. Accelyst AI Shield layers AI-specific threat modeling (OWASP LLM Top 10, MITRE ATLAS) on top of proven cybersecurity and DevSecOps practices.
A Discovery & Risk Assessment typically takes 2–4 weeks. A full Accelyst AI Shield program implementation — from architecture review through monitoring setup — runs 8–16 weeks depending on scope and complexity. We scope every engagement with a fixed-price model.
Absolutely. Accelyst AI Shield is designed to complement your existing SIEM, SOAR, IAM, and DevSecOps tooling. We integrate with your current infrastructure — not replace it.
Yes — on-premises and air-gapped deployment is a core design requirement, not an add-on. AI Shield deploys via Docker/Kubernetes on your own data center, private cloud (AWS GovCloud, Azure Government), or air-gapped environment. No model inputs, outputs, audit logs, or security telemetry are transmitted to Accelyst or any external provider. All data remains under your control.
Yes. Accelyst has delivered cybersecurity assessments and AI security programs for state government agencies, judicial courts, and regulated public-sector institutions. Our team has direct experience with government procurement requirements, institutional IT governance frameworks, and the operational sensitivities unique to public sector environments. References are available upon request.
Secure your AI systems before they're in production.
Private AI that works with your existing systems and delivers transparent, compliant automation. Tell us where you're stuck — we'll show you what's possible.