IntSOC | AI-Powered Network Observability and NDR

1. It generates its own unsampled flow data Most NDR tools consume flow data from third-party sources or rely on sampled NetFlow from routers. IntSOC has the FlowProbe built in — generating enriched, unsampled flow records at 400G via its own FPGA. That means richer, more complete data than any competitor relying on external sources. 2. NetViz and cyber detection from the same data plane Most organisations run separate tools for network performance monitoring and security detection. IntSOC does both from the same underlying flow data. That’s not two products bolted together — it’s native correlation. 3. Open AI platform Every other NDR vendor locks you into their models. IntSOC lets you deploy your own — trained on your data, classified models, OT-specific models — without vendor dependency. PyTorch-based, no restrictions. 4. Purpose-built hardware FPGA + GPU + NVMe datalake in 1RU. Not a software product running on commodity kit. The FPGA does the capture, the GPU does the inference, the NVMe backs the datalake. That combination at 400G in 1RU is rare. 5. Proven in production 66% SOC cost reduction and 99.37% analyst time saving aren’t benchmark claims — they’re from running it in Telesoft’s own SOC. That’s a credibility differentiator most vendors can’t match. 6. Data sovereignty Everything processes on-appliance. No cloud dependency, no data leaving the environment. Critical for government, defence and CNI buyers.

Hardware: We’ve delivered a unit to a customer on another continent within 3 days of their order. Setup: Designed to be plug and play — single-click auto-provisioning means the appliance is operational within hours of being racked. Our support team is on hand should you need them. Monitoring: Your network is being monitored from the moment the system goes live. Pre-loaded models provide immediate baseline visibility across all traffic flows from day one. Detection: The AI models learn and improve over time as they build a picture of your specific network — becoming more accurate and more tailored to your environment as they train.

Hallucinations happen when AI has to guess. Intsoc removes the guesswork at every layer. Data: Intsoc captures 400G wire-speed via FPGA — every flow, enriched to Layer 7. Through Retrieval Augmented Generation (RAG), the LLM works from a structurally complete evidence base, not pre-filtered SIEM alerts. Architecture: The agentic layer is prompt-engineered — tool selection is JSON-structured and constrained in the output, preventing the model from going off-script. Hardware: The appliance runs entirely on-premises. Purpose-built to run high-parameter models locally — enterprise-grade AI with full data sovereignty. It’s not one thing. It’s the data, the architecture, and the hardware working together.

IntSOC 400 ships with pre-loaded ML models covering: Beaconing and C2 detection, Anomaly detection, Outlier detection, Long flow detection, DGA — algorithmically generated domain detection, Typosquatting and phishing domain detection, Lateral movement, Microburst detection, Capacity planning and network health, Predictive traffic analysis. Detection starts immediately from day one.

IntSOC 400’s AI agents continuously monitor all alerts, correlate evidence across multiple detection models and investigate autonomously — without analyst involvement. Only high-confidence, contextualised threats are escalated to your team, with the evidence and recommended actions already assembled. The result: 99.37% of repetitive triage work is eliminated per shift. Your analysts focus exclusively on threats that demand human judgement.

IntSOC 400 includes a developer kit built on PyTorch, Scikit-Learn and TensorFlow — providing the building blocks to train, deploy and run your own custom threat detection models alongside Telesoft’s pre-built library. Your models run on your data, in your environment. No vendor dependency, no artificial restrictions.