Nayutal
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Achieve ZERO Victim — So that no one becomes a victim

TRAFFIC ANALYSIS / NETWORK LAYER

Nayutal Analytics

HTTPS Visibility × Large-Scale Traffic Analysis

Threats in encrypted traffic, seen through without decryption

The analysis engine that brings the network threats of carriers and large-scale infrastructure into clear view.

All protocols covered SIEM integration Rule-based detection + machine learning (AI)

The Challenge

The essential network-security challenges
that Nayutal Analytics takes on.

Theme 01

Visibility into encrypted traffic

Most traffic is now encrypted with HTTPS, leaving legacy products unable to see inside.

Nayutal answers with a unique approach that catches signs of threats without decryption.

Theme 02

Handling unknown threats

New threats and suspicious traffic that signatures cannot catch keep emerging

Nayutal combines rule-based detection, machine learning (AI) and threat intelligence to catch malware and suspicious traffic

Theme 03

Scaling to large infrastructure

Building infrastructure that processes massive traffic in real time is no easy task.

Parallel analysis of captured traffic scales to large infrastructure

Advantage of Nayutal

See inside HTTPS — without decryption.

01

The Challenge

Encryption hides
what the traffic contains

HTTPS encryption creates blind spots where attacks and malware can hide inside the traffic.

02

The Solution

Pinpoint threats through
metadata analysis.

By analyzing metadata such as DNS queries and TLS SNI information, it detects suspicious traffic without decryption

03

The Technology

Not just HTTPS —
all traffic is captured

All traffic is captured and then classified by protocol before it is recorded

Main Features

Capture → Detect → InvestigateCapture → Detect → Investigate

Traffic input
To SIEM / existing operations

Capture

Ingest & Record

All traffic captured,
then classified by protocol

Detect

Threat Detection

Rule-based matching and ML (AI)
to find known and unknown threats

Investigate

Investigation & Analysis

Identifies the device and tracks
the surrounding traffic over time

Parallel PCAP analysis with netflow processing

Use Cases

Where Nayutal Analytics is used

CASE 01

Telecom Carriers

Threat monitoring on the carrier network

Analyzes large volumes of mobile traffic and detects malicious file downloads and suspicious communication in real time. Network-side visibility surfaces risks to subscribers early

CASE 02

Financial Institutions

Early detection of suspicious traffic and threats

Amid an enormous volume of daily transactions, it detects signs of suspicious traffic patterns early, supporting a prompt response

CASE 03

Large Enterprise Networks

Visibility across the internal network

Visibility into traffic across the internal network. It catches signs of threats in traffic including HTTPS, complementing employees' endpoint measures

Strategic Partnerships

Delivering with trusted partners

SYSTEX Co., Ltd. / Gemini Data, Inc.

Advanced incident management

Through the collaboration of SYSTEX Co., Ltd., with its long track record in systems development, and Gemini Data, Inc., a leader in log analytics platforms, Nayutal's data collection and analysis platform is supported on the technical side.

Mitsui Bussan Secure Directions, Inc.

MSSP services & operations

As a dedicated cybersecurity firm, MBSD provides vulnerability assessment and MSSP services along with AI-driven security services, supporting Nayutal's operations and monitoring framework.

License Software License Agreement / GPLv2 – Open Source Disclosure

Bring Nayutal Analytics
into your infrastructure.

In partnership with our strategic allies, Nayutal Analytics delivers its products to customers backed by a dependable operational framework.

Contact Sales

For deployment, please reach out through an existing client or partner.
U.S. and global inquiries supported.