SYMOSIS
Engineer Security Into Enterprise AI
Symosis designs, builds, and operationalizes security controls across AI platforms, applications, models, agents, identities, data, and runtime environments.
We move beyond assessments and recommendations to implement the security controls required to operate AI safely in production.
Built, not just advised. Designed for your environment.
What We Engineer
Secure AI Platform Engineering
Build secure foundations for enterprise AI.
Capabilities:
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Secure LLM and RAG architecture
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Model gateway security
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AI API security
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Vector database security
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AI data-access controls
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Secrets and key management
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Network segmentation and isolation
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Tenant isolation
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Cloud AI security controls
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Secure AI reference architectures
Agentic AI & Identity Security Engineering
Engineer identity and authorization controls for autonomous AI.
Capabilities:
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AI agent identity lifecycle
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Non-human identity management
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Agent authentication
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OAuth/API authorization
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MCP server and tool security
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Tool allowlisting
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Least-privilege enforcement
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Just-in-time access
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Human approval gates
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Credential isolation
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Agent action attribution
AI Guardrails & Runtime Security
Enforce security policy while AI systems operate.
Capabilities:
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Prompt/input validation
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Output filtering
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Sensitive-data controls
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DLP integration
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Content safety controls
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Tool-call validation
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Model routing controls
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Runtime policy enforcement
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Execution sandboxing
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Rate and consumption controls
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Agent containment
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Agent kill switches
AI DevSecOps & Continuous Security Testing
Integrate AI security directly into the development lifecycle.
Capabilities:
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AI security requirements
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Secure AI development patterns
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CI/CD security gates
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Automated adversarial testing
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Prompt injection testing
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Agent security testing
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AI dependency validation
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Security regression testing
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Configuration validation
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Continuous red teaming
AI Security Observability, Detection, Response
Give security teams visibility into AI behavior.
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Capabilities:
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AI audit logging
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Prompt and response telemetry
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Agent action logging
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Tool-call monitoring
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Identity correlation
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Behavioral detections
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SIEM integration
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AI security analytics
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Incident-response workflows
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Continuous control validation
AI-Powered Security Automation
Apply AI and automation to modernize cybersecurity operations.
Agentic SOC investigation and alert triage
Custom detection engineering and behavioral analytics
SaaS security posture management
AI agent and non-human identity security
Shadow AI discovery and governance
Prompt-injection and LLM application security
Security telemetry normalization and enrichment
Identity entitlement analysis
Compliance and security evidence automation
AI-assisted offensive security and vulnerability intelligence
Built for Security Teams
CISOs and security executives
SOC and detection engineering teams
Cloud security and IAM teams
AI governance and risk leaders
Security platform and data engineering teams
Enterprises adopting copilots, agents, and AI applications
Advisory-to-Engineering Connection
From AI Risk to Production Controls
Technical Capabilities
Advanced SOC triage and automated workflows
Strategic detection design and behavioral monitoring
Management of SaaS security posture
Non-human entity and agent protection
Control and discovery of Shadow AI
Security for LLM apps and injection prevention
Scaling security data with enriched telemetry
Evaluation of identity rights
Evidence collection for automated compliance
AI-driven vulnerability assessment and offensive insight