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AI Cyber Engineering for the Modern Enterprise

We build AI-powered security capabilities across your SOC, identity, cloud, SaaS, and security data environments.

From agentic investigation workflows to security data pipelines, Symosis engineers practical capabilities that integrate with the tools you already operate.

Built, not just advised. Designed for your environment.

What We Engineer

Agentic SIEM Automation

Custom reasoning agents that investigate, enrich, correlate, and triage alerts within your existing SIEM and security stack. Analysts receive higher-fidelity investigations instead of disconnected alerts and raw telemetry.

Real-Time Threat Modeling

Dynamic threat models built from your environment, identity structure, cloud architecture, and security telemetry. Identify attack paths, behavioral anomalies, and changing risk as your environment evolves.

AI-Assisted SOC Workflows

Automate repetitive investigation, enrichment, routing, and response actions while preserving human approval for consequential decisions. Improve response speed, consistency, and analyst capacity.

Identity Entitlement Management

Analyze access, usage, ownership, and privilege across fragmented SaaS and cloud IAM environments. Identify excessive permissions, orphaned identities, risky access paths, and least-privilege opportunities.

Security Data Pipelines

Engineer raw security telemetry into high-fidelity signal layers across Snowflake, Azure, AWS, and GCP. Normalize and enrich data for detection, investigation, reporting, and AI workflows.

AI Security Monitoring

Monitor AI applications, agents, copilots, and non-human identities for unsafe behavior, prompt injection, anomalous activity, excessive permissions, and policy violations.

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

Built for Security Teams

Agentic SOC investigation and alert triage
Custom detection engineering and behavioral analytics
SaaS security posture management
Shadow AI discovery and governance
AI agent and non-human identity security
Prompt-injection and LLM application security
Security telemetry normalization and enrichment
Compliance and security evidence automation
Identity entitlement analysis
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

From Security Challenge to Working Capability

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Assess

Understand the security objective, environment, telemetry, and constraints.

Architect

Define the target workflow, integrations, controls, and acceptance criteria.

Engineer

Build and integrate the capability into the existing security stack.

Validate

Test performance, security, governance, auditability, and operational readiness.

Let’s Engineer Your Next Security Capability

Tell us where your security operations are slowing down, where your data is fragmented, or where AI is creating new risk. We can help define the architecture, build the capability, and integrate it into your operating environment.

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