SYMOSIS
AI Requires Continuous Assurance
Organizations need ongoing visibility into how AI systems behave after deployment—not just one-time assessments.
AI Is Changing the Enterprise Attack Surface
Traditional Application Security Is Not Enough
Prompt injection, RAG manipulation, model abuse, excessive agency, and tool misuse introduce new attack paths.
Agents Expand Enterprise Privilege
AI agents increasingly access APIs, SaaS applications, sensitive data, business systems, and enterprise workflows.
AI Adoption Is Decentralized
AI applications, copilots, models, and agents are being introduced faster than traditional governance programs can inventory and assess them.
AI Security Problems We Help Solve
AI security is not one problem. Symosis helps organizations identify where AI creates risk, design practical controls, and validate those controls across the operating environment.
AI Governance, Discovery & Risk
Establish visibility and control over enterprise AI adoption.
Capabilities:
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Enterprise AI discovery and inventory
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AI use-case risk assessments
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AI risk classification
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Governance operating models
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AI policies and acceptable-use standards
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AI third-party/vendor risk assessments
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NIST AI RMF and ISO 42001 alignment
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AI regulatory readiness
Typical outcomes:
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AI Inventory | Risk Register | Governance Model | Policies | Control Framework | Security Roadmap
Secure AI Architecture & Data Protection
Design AI environments with security embedded from the start.
Capabilities:
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AI architecture security reviews
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LLM and RAG security architecture
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AI threat modeling
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Data-flow and trust-boundary analysis
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Sensitive-data protection
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Model and API security
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Vector database security
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Secure AI deployment patterns
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Cloud and SaaS AI security
Typical outcomes:
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Threat Model | Architecture Assessment | Security Requirements | Target-State Architecture | Remediation Roadmap
 Agentic AI, Identity & Authorization
Control what AI agents can access, decide, and execute.
Capabilities:
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AI agent inventory
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Non-human identity assessment
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Agent authentication
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OAuth and API permission analysis
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Least-privilege authorization
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MCP and tool security
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Human-in-the-loop controls
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Privileged action approval
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Agent ownership and attribution
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Agent-to-agent trust analysis
Typical outcomes:
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Agent Inventory | Permission Map | Authorization Model | Control Architecture | Remediation Roadmap
AI Application Security & Red Teaming
Test AI systems against realistic adversarial attack paths.
Capabilities:
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LLM application penetration testing
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AI red teaming
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Agentic AI red teaming
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Prompt injection testing
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Indirect prompt injection
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Jailbreaking
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Guardrail bypass
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RAG manipulation
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Data exfiltration testing
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Tool and workflow abuse
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Model and API abuse
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Business-logic attack scenarios
Typical outcomes:
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Attack Scenarios | Validated Findings | Business Impact | Control Gaps | Remediation Guidance | Retesting
AI Security Operations & Continuous Assurance
Operationalize security across production AI systems.
Capabilities:
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AI security logging requirements
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AI and agent behavioral monitoring
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Detection use-case development
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AI incident-response playbooks
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Continuous control validation
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AI posture monitoring
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Executive reporting
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AI security metrics
Typical outcomes:
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Monitoring Architecture | Detection Requirements | Response Playbooks | Control Testing | Security Metrics
From Security Strategy to Implementation
Symosis does not stop at policies or high-level recommendations. We identify risk, design practical controls, prioritize remediation, and provide the engineering direction required to implement, integrate, automate, harden, monitor, and validate those controls.
