Symosis designs, implements, integrates, and validates security capabilities across AI applications, retrieval systems, copilots, and agents.
We turn requirements into working safeguards for data access, identity, tool execution, deployment, and monitoring.
AI security changes often span applications, data sources, identity systems, APIs, and infrastructure.
Symosis works with your security and engineering teams to define the implementation, build the integrations, and establish evidence that the controls behave as intended.
Implement secure configurations, workload identities, secrets management, network restrictions, environment separation, and operational access controls.
Outputs
Deployment configurations, infrastructure code, architecture documentation, and validation evidence.
Implement user-aware authorization, permission-aware retrieval, tenant isolation, data-source restrictions, and handling of permission changes.
Outputs
Retrieval controls, permission mappings, integration components, and access-validation results.
Constrain agent authority through scoped credentials, least-privilege permissions, tool restrictions, delegated-access controls, and action-specific approval gates.
Outputs
Identity configurations, authorization policies, approval workflows, and lifecycle procedures.
Integrate input and output handling, tool-parameter validation, destination restrictions, sensitive-data controls, execution limits, and defined failure behavior.
Outputs
Control logic, application integrations, test scenarios, and validation results.
Capture relevant agent actions, tool calls, approvals, and outcomes. Correlate events and connect them to investigation and security platforms.
Outputs
Event schemas, logging integrations, detection content, dashboards, and runbooks.
Integrate authorization checks, isolation tests, selected adversarial scenarios, and security review gates into development workflows.
Outputs
Test suites, pipeline integrations, acceptance criteria, and evidence capture.
Acceptance criteria make the engagement concrete. Examples include:
Discover
Understand architecture, findings, objectives, and constraints.
Design
Define control patterns, integrations, ownership, and acceptance criteria.
Build
Implement the agreed capability.
Validate
Test boundaries, failure scenarios, and operational readiness.
Enable
Deliver documentation, runbooks, training, and maintenance requirements.
Deliverables may include:
Client evidence · pending approval
A sanitized technical example, sample deliverable or approved case study for this service will appear here once approved. No results are shown until then.
Controls that inspect or constrain model inputs, outputs and actions, such as content filters, data-loss checks and tool-use policies.
Engagements are scoped to your platform; we do not require a specific vendor.
Implementation. We build and configure the controls alongside your engineers.
Acceptance criteria are defined before building, and controls are validated against them.
Tell us what you are deploying, which safeguards are missing, and what your team needs to operate it.