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Services Rendered
Product Engineering
Rapid Prototyping
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Continuing Design
A single misconfigured MFA or unpatched laptop can lead to a $2.7 billion Business Email Compromise (BEC) crisis, the "human element" remains the most volatile variable in the CISO’s equation. Traditional security awareness training is static; modern threats are dynamic.
A human-risk management company recognized that the bottleneck wasn’t a lack of data. It was the operational exhaustion of chasing it. Partnering with Zemoso, they transformed manual security hygiene into a self-healing ecosystem driven by Agentic AI.
For the modern CTO and CISO, the security team’s growth rarely keeps pace with the headcount of the organization. As the workforce expands, manual enforcement of device hygiene and compliance becomes a losing game:
The client required more than just a visualization tool; they needed an actionable intelligence layer. The challenge was to build a platform that could:
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Our clients love what we do:
The platform's heart is the AI Automation Studio, where security policies are converted into Agentic Workflows.
Zemoso’s engineering team focused on a high-concurrency, low-latency architecture to ensure the AI agent could handle enterprise-scale workloads.
1. Dual-LLM Orchestration (Agentic Logic)
We implemented a strategic split between LLMs via SDKs:
GPT: Utilized for complex reasoning, policy explanation, and conversational flow.
Gemini: Utilized for real-time information retrieval.
2. Multi-Channel SDK Integration
Rather than simple notifications, we built deep integrations with the Slack and Microsoft Teams SDKs, allowing the AI agent to maintain stateful conversations, handle "Done" button interactions, and process natural language questions from employees.
3. Real-Time Telemetry Pipeline
Built on Node.js and TypeScript, the backend handles a massive throughput of security signals, ensuring the Chart.js-powered dashboards reflect the organization's risk posture in real-time, not 24 hours late.
4. Scalable Microservices
Deployed on Google Cloud Run (GCR), the architecture ensures that as a client’s workforce grows from 1,000 to 50,000, the engagement manager scales elastically to meet the demand.
This partnership has redefined human-risk management by moving from passive monitoring to active, autonomous orchestration. By integrating Agentic AI directly into the security workflow, we’ve created a system that doesn't just identify risks, it closes them.
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