Traversal Networks YC Application
Traversal Networks went through Y Combinator in the Summer 2015 batch as a B2B company. Below: what the company does, who founded it, and its application to YC, reconstructed question by question in the real YC form.
- YC batch
- Summer 2015
- Industry
- B2BSecurity
- Team size
- 1
- Status
- Inactive
- Launched
- 2015
What Traversal Networks does
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's YC application, reconstructed
Y Combinator application
Traversal Networks, Summer 2015 batch. The real form questions, answered from public data.
- Founders2
- Company7
- Progress7
- Idea4
- Equity3
- Curious2
- Batch Preference1
Company
Traversal Networks
Enterprise network threat detection
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.
We live in Mountain View, CA and the company will be based here after YC.
We are based in Mountain View because of the proximity to tech talent and customers who need enterprise security solutions.
21 more answers in the full application
Founders, Progress, Idea, Equity, Curious, Batch Preference are in the full version. Create a free account to open it in YC Insights, next to every other YC batch.
Frequently Asked Questions
Is this the real Traversal Networks YC application?
No. Y Combinator keeps submitted applications private. This is a reconstruction: the real YC form questions, answered from Traversal Networks's public data (launch notes, founder backgrounds, product description). It shows how a company like Traversal Networks would present itself to YC, not the text they submitted.
What YC batch was Traversal Networks in?
Traversal Networks was part of the Y Combinator Summer 2015 batch.
What does Traversal Networks do?
Enterprise Threat Detection: Tuning, Triage, and Analysis by Experts.
How do I read the full reconstructed application?
Create a free Round Funded account. The full 26-answer version of Traversal Networks's application, and every other YC batch, is in YC Insights.