AI-Driven Security Automation

Security teams today are being asked to do more with less — across risk, compliance, incident response, third-party management, and red teaming. Symosis helps you bring AI and intelligent automation into every corner of your cybersecurity program, using the tools you already own.

Symosis is not a product vendor.

We help you design and implement practical, AI-driven automation across your existing platforms — reducing manual work, increasing speed, and boosting team efficiency.

Problem → Solution

The Problem:

Security and risk teams are overwhelmed by:

Manual workflows for triage, evidence collection, risk reviews, and incident response
Alert fatigue from detection systems that lack enrichment or context
Configuration drift, control gaps, and audit delays
Talent shortages and lack of bandwidth to scale operations

Our Solution:

Symosis brings automation and AI to your security operations — not just your SOC:

LLM-based triage assistants and Copilot integrations
Automated risk scoring and third-party review workflows
Compliance evidence collection, gap tracking, and audit prep
Red team response automation and purple team dashboards
Policy enforcement, config drift alerts, and remediation playbooks

We tailor automation to your unique needs — delivering results, not noise.

Key Focus Areas

We deliver security automation across six critical domains:

Incident Triage & Threat Response
Automate enrichment, correlation, and playbook execution using AI
Compliance & Audit Readiness
Auto-collect evidence, track control gaps, and prepare board-level summaries
Risk Management & Third-Party Reviews
Score vendors, trigger follow-up, and integrate with LogicManager or ServiceNow
Red Team & Purple Team Automation
Track findings, generate reports, link TTPs to MITRE, and push to remediation pipelines
Configuration Drift & Policy Enforcement
Monitor deviations across cloud, SaaS, and endpoints using Databricks or YAML rules
Dashboards & Executive Reporting
Auto-summarize status, posture, and risk KPIs using AI-generated insights

How It Works – 3 Steps to Security Automation

1. Discover

Identify friction points, bottlenecks, and manual tasks across teams
Map existing tools and platforms (SIEM, GRC, IAM, SSPM, ticketing)
Assess where AI or rule-based automation makes sense

2. Build

Develop AI playbooks, enrichment logic, and automation workflows
Integrate with APIs and platforms (e.g., ServiceNow, Slack, GitHub, CrowdStrike)
Create LLM agents, config scripts, and dashboard logic

3. Scale

Expand to new teams and use cases
Tune logic and feedback loops to reduce false positives
Embed automation into operational runbooks and reporting cycles

Outcomes

⚙️ Reduced manual workload across security, risk, and compliance
🧠 Enhanced decision-making with LLM-powered triage and reporting
🛠️ Improved response times and coverage without growing headcount
📉 Fewer errors, faster audits, and smoother vendor assessments
📈 Consistent reporting to leadership on posture, progress, and impact