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Enclave AI

2 viewers · 30d

Total raised

$5.9M

+$5.9M this year

1 filing since 2026 · latest Equity filed

Cumulative raised
LAST ROUND
Equity · $5.9M
ROUNDS
1
INVESTORS
20
FOUNDED
2026
HQ
Dover, DE
SECTOR
Cybersecurity
EMPLOYEES
N/A
30D VIEWERS
2

AI overview

Updated

Enclave is an application security company building an agentic security platform that runs a fleet of AI agents across a customer's code and cloud environments. The agents map services, repositories, cloud accounts and trust boundaries into a live security graph, then investigate findings, verify which ones are actually exploitable against live environments, and open pull requests or infrastructure-as-code fixes to close them. The platform consolidates SAST, DAST, penetration testing, cloud misconfiguration scanning, supply chain analysis and CVE assessment into one workflow, and re-runs the original attack path after deployment to confirm a fix held. The company was founded by Tal Hoffman (CEO), Dvir Segev (CTO) and Yanir Tsarimi (CPO), and raised a $6M seed led by 8VC with angel participation.

What sets it apart

Rather than producing a ranked list of vulnerabilities, Enclave's agents prove exploitability against the live environment and then drive each finding through remediation and re-testing to verified closure, leaving audit-ready evidence instead of CVSS scores.

Funding history

1 round
EquityMar 13, 2026 · $5K min
Form D
+$5.9M$5.9M total

Latest SEC filings

via EDGAR · CIK 0002123873
Form D · Mar 13, 2026View on EDGAR

Products

1 tracked

Enclave

Application and cloud security platform

An agentic security platform that deploys AI agents to automate the full vulnerability lifecycle across code and cloud, from discovery and triage through remediation and verified closure.

  • Live security graph across services, repositories, cloud accounts and trust boundaries on AWS, GCP and Azure
  • Agentic investigation combining code review, DAST, cloud misconfiguration scanning and threat analysis
  • Exploitability verification against live environments instead of relying on CVSS scores
  • Automated remediation via pull requests and infrastructure-as-code fixes routed to named owners