PensarAI provides an AI-agent-driven security platform that continuously discovers, validates, and remediates vulnerabilities across an organization's entire attack surface. The platform unifies repositories, domains, and applications into a single workspace, using autonomous offensive agents to run penetration tests and deliver working proof-of-concept exploits for every finding.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional penetration testing is manual, periodic, and expensive, leaving organizations with stale security assessments that fail to keep pace with rapidly evolving attack surfaces. The rising cost of AI-powered attacks—estimated at $12,000-$17,000 per successful network compromise—means well-resourced threat actors can now probe targets continuously, while defenders remain stuck with quarterly review cycles and outdated reports.
Solution
PensarAI operates a continuous adversarial testing platform powered by frontier offensive AI agents that autonomously discover, exploit, and remediate vulnerabilities across an organization's entire attack surface. The platform organizes security around applications rather than repositories, correlating findings across shared infrastructure and auth layers to reason about posture the way an attacker does. Agents run 24/7, re-running reconnaissance as code changes and automatically mapping new services, routes, and subdomains without manual intervention. Every finding includes a working proof-of-concept and the full agent trace that produced it, so security teams triage confirmed exploits rather than speculative reports. The system closes the loop by autonomously patching identified vulnerabilities, creating a continuous cycle of discovery, validation, and remediation.
Target Audience
Primary customers are security teams, DevOps engineers, and engineering organizations at software companies that need continuous, scalable penetration testing across their applications and infrastructure without the cost and delay of traditional manual assessments.
Features
- Multi-repo workspace unifying GitHub, GitLab, Bitbucket, and Azure DevOps sources with no project boundaries, scoped to a single evolving attack surface view
- Continuous automatic reconnaissance that re-runs as code changes, detecting new services, routes, and subdomains without manual re-mapping
- Per-application access control that scopes members to specific applications, endpoints, and findings, preventing cross-team visibility and simplifying onboarding
- AI agents that run in parallel swarms to test potentially vulnerable paths, limited only by token budget and runtime duration
- Working proof-of-concept exploits with full agent traces for every finding, enabling immediate triage of confirmed vulnerabilities
- Autonomous remediation that patches identified issues without requiring manual security team intervention
- API integration with CI/CD pipelines for automated security testing as part of the development workflow