Traversal Networks YCアプリケーション

Summer 2015Inactive

Traversal NetworksはSummer 2015バッチでB2B企業としてY Combinatorを卒業しました。以下：会社の事業内容、創業者、そして実際のYCフォームで質問ごとに再構築されたYCへの応募内容。

YCバッチ: Summer 2015
業界: B2BSecurity
チーム規模: 1
ステータス: Inactive
ローンチ済み: 2015

Traversal Networksの事業内容

Traversal Networks develops a new form of Network Intrusion Detection System designed to catch unknown threats. The Lateral Threat Detector appliances are easily installed on your corporate network. These analyst-assisted sensors learn traffic patterns on each of your network segments and detect lateral exploitation, backdoors, bots, malware, and network reconnaissance. The Traversal Networks operate on four different platforms: learn, reputation, machine learning and search. Traversal Networks has developed heuristics using a corpus of live network data combined with expertise in botnet detection to help filter traffic. Additionally, Traversal Networks uses IP and DNS reputation across all its deployed devices to detect new threats. The Lateral Threat Detector appliances utilize reinforcement learning to continually enhance filtering performance on each network segment, and submit prefix-preserving anonymized data to our cloud making it available to be quickly searched in real time. The Traversal Cloud Analysis platform was designed to enable its security analysts to quickly pivot on anomalous traffic seen across its network and classify it as malicious or benign.

Traversal NetworksのYCアプリケーション、再構築済み

Y Combinator 申請

Traversal Networks 様、Summer 2015 バッチ。公開データから回答された、実際のフォームの質問。

Founders2
Company7
Progress7
Idea4
Equity3
Curious2
Batch Preference1

Company

Company name

Traversal Networks

Describe what your company does in 50 characters or less.

Enterprise network threat detection

What is your company going to make? Please describe your product and what it does or will do.

We built the Lateral Threat Detector, a network intrusion detection appliance that learns traffic patterns in corporate networks. It detects lateral threats like backdoors, malware, and bots by combining machine learning, heuristics, and IP/DNS reputation data. The system uses reinforcement learning to improve detection on each network segment and sends anonymized data to our cloud platform for real-time analysis by security experts.

Where do you live now, and where would the company be based after YC?

We live in Mountain View, CA and the company will be based here after YC.

Explain your decision regarding location.

We are based in Mountain View because of the proximity to tech talent and customers who need enterprise security solutions.

フルアプリケーションで21件の追加回答

はフルバージョンにあります。無料アカウントを作成して、他のすべてのYCバッチの横にあるYCインサイトで開いてください。

申請内容全体を見る

よくある質問

Traversal Networksの実際のYCアプリケーションですか？

いいえ。Y Combinatorは提出されたアプリケーションを非公開にしています。これは再構築されたものです。実際のYCフォームの質問に、Traversal Networksの公開データ（ローンチノート、創業者経歴、製品説明）から回答しています。Traversal Networksのような会社がYCにどのようにアピールするかを示しており、彼らが提出したテキストではありません。