Symosis helps organizations protect the AI they use and apply AI to strengthen cybersecurity.
We combine senior-led advisory, hands-on engineering, and operational expertise across AI applications, agents, data, identity, and security workflows.
Understand your AI exposure and implement safeguards across applications, copilots, retrieval systems, and agents.
We help assess governance, architecture, sensitive-data access, permissions, adversarial risk, and operational readiness.
Apply AI to defined security problems within your existing tools and workflows.
We engineer investigation assistance, security analysis, remediation coordination, and evidence collection with appropriate permissions, practitioner oversight, and evaluation.
Identify risks and define practical controls across governance, architecture, agent identity, application security, and operations.
Typical outputs
Risk register, threat models, architecture findings, control requirements, and an implementation roadmap.
Implement safeguards across data access, authorization, tool execution, deployment, monitoring, and security validation.
Typical outputs
Configurations, integrations, control logic, automated tests, and operational runbooks.
Build AI-assisted workflows that help security teams gather evidence, investigate activity, review findings, and coordinate action.
Typical outputs
Data pipelines, integrated workflows, evaluation results, and practitioner enablement.
Test AI applications and agents for prompt injection, unauthorized data access, tool misuse, and consequential workflow abuse.
Typical outputs
Reproducible findings, attack-path evidence, remediation guidance, and scoped retest results.
Establish visibility, ownership, and proportionate safeguards.
Review architecture, data access, identities, and permitted actions.
Implement controls and test the relevant security boundaries.
Select a defined workflow with usable data and measurable acceptance criteria.
Discover the environment and intended use.
Assess the risks, controls, and operational constraints.
Engineer the agreed safeguards or automation.
Validate security behavior and acceptance criteria.
Operationalize ownership, monitoring, maintenance, and response.
Symosis connects AI security to the cloud, SaaS, identity, application, and operational controls your organization already depends on.
Recommendations reflect your environment, business priorities, and implementation constraints.
Client evidence · pending approval
Approved client evidence and a link to Leadership will appear here once Kartik approves them for publication. No outcomes are shown until then.
Protecting AI systems, the data they use and the actions they take, and governing how AI is adopted across the organization.
Distinct agent identities, least-privilege tool access, human approval for high-impact actions and full action logging.
Yes, for bounded tasks such as enrichment, triage summaries and evidence collection, with analysts retaining decisions.
Tell us what you are adopting, building, or trying to improve. We will help identify the right starting point and scope the work.