# Pensar

> Continuous adversarial testing for software teams. AI agents that attack your systems to find, exploit, and fix real threats.

Pensar is an application security platform that replaces traditional pentesting with continuous adversarial testing. Instead of quarterly pentests that produce static PDF reports, Pensar deploys AI agents that continuously attack your running applications — finding runtime vulnerabilities like race conditions, SSRF chains, business logic flaws, and auth bypasses that pentesting engagements and static scanners miss.

Traditional pentesting was designed for a world where humans wrote and reviewed all code. That world no longer exists. AI coding agents at companies like Stripe merge 1,300 PRs per week. Code is being generated faster than any pentester or scanner can verify it. Continuous adversarial testing is the security model built for this reality — autonomous agents that validate every deploy at runtime, not a point-in-time assessment that's outdated before the report is delivered.

## Core Products

- **Pensar Platform**: Continuous adversarial testing that integrates into CI/CD. Every PR triggers runtime security validation in a sandboxed environment. Findings include verified exploits and auto-generated patches delivered as pull requests. Replaces periodic pentesting with always-on adversarial coverage.
- **Apex**: Open source offensive security agent. Runs adversarial tests from the terminal against any target. Available at https://github.com/pensarai/apex

## Capabilities

- **Continuous adversarial testing** (https://pensar.dev/adversarial-testing): Frontier offensive agents run against your live systems around the clock, proving real vulnerabilities with working exploits and shipping the fixes back as reviewable PRs. Surfaces the chained, multi-step attacks and business-logic flaws that scanners structurally miss.
- **Agent red teaming** (https://pensar.dev/agent-red-teaming): Continuously red-team the AI agents and agentic workflows you ship. Pensar follows the full chain from indirect prompt injection to tool-call hijacking to SSRF to credential exfiltration, and drafts the patch.
- **Custom threat models**: Pensar learns how your application actually works — payment flows, access boundaries, tenant isolation — and generates attack paths specific to your system. Context-aware severity, not CVE matching.
- **Applied AI team**: Pensar engineers embed with your team to deploy the agents, build the automations around them, and modernize your security program for AI-enabled threats. US-based, full-time, SOC 2.

## Key Capabilities

- Runtime security validation on every pull request
- Adversarial testing against full attack surfaces
- Auto-remediation with verified patches shipped as PRs
- Agentic security testing (prompt injection, tool misuse, privilege escalation)
- Custom threat modeling per application and agent
- Human-attested pentest reports from OSCP-certified pentesters
- Sandboxed execution inside your VPC
- SOC 2 certified

## Comparisons

- **Pensar vs traditional pentesting** (https://pensar.dev/vs/pentesting): A pentest is a point-in-time snapshot delivered weeks later as a PDF. Pensar runs continuously on every deploy, returns each finding with a working exploit and a drafted patch, and keeps pace with AI-speed development. When an auditor needs a human-signed report, OSCP-certified pentesters on the Pensar team deliver one — continuous coverage and formal attestation from a single vendor.
- **Pensar vs vulnerability scanners** (https://pensar.dev/vs/scanners): Scanners pattern-match and flag potential issues with heavy false positives. Pensar attacks the running system and proves real exploits, including the business-logic flaws and chained attacks scanners structurally can't model.

## How It Differs from Pentesting

Traditional pentesting is periodic, manual, and slow. A pentest engagement happens quarterly at best, tests a frozen snapshot of your application, and delivers findings weeks later in a PDF. By the time you read the report, the codebase has changed. Continuous adversarial testing runs on every deploy, tests the live application under real conditions, and delivers findings with patches — closing the loop between discovery and remediation automatically.

## Use Cases

- Securing CI/CD pipelines when AI coding agents generate code at scale
- Replacing periodic pentesting with continuous adversarial coverage
- Continuous security validation for financial services (PCI DSS 4.0, GLBA, DORA compliance)
- Runtime validation for applications where static analysis is insufficient
- Agentic AI security — testing AI agents for prompt injection and tool misuse vulnerabilities

## FAQ

- **What is continuous adversarial testing?** Offensive AI agents run against your own systems: they map your attack surface, find and exploit real vulnerabilities, ship patches, and retest on every deployment. A traditional pentest is a point-in-time snapshot; Pensar's loop runs continuously.
- **What's the difference between a pentest and what Pensar does?** A pentest is time-boxed: a small team tests a frozen snapshot, then ships a PDF. Pensar runs the same offensive testing continuously with agents, proves every finding with a working exploit, and ships the patch PR. When a formal deliverable is needed, a US-based, OSCP-certified lead audits the findings and signs an audit-ready report.
- **Is Pensar static analysis?** No. Source code and docs ground reconnaissance (trust boundaries, asset enumeration, threat models); that context feeds pentesting agents that attack running systems the way a real hacker would. Findings are proven exploits against live targets, not static-analysis pattern matches.
- **Black-box or white-box?** Both, and you choose: by default agents plan with white-box context (source code, docs, test credentials), then execute against the running environment. White-box depth, black-box realism. Straight black-box engagements with no source access are also supported.
- **Does it run against production?** By default Pensar targets staging or preview environments, scoped to the targets you choose, usually wired into CI/CD.
- **Can it run from CI/CD?** Yes, that's the default: wired into the pipeline, every staging or preview deployment kicks off adversarial testing, with findings returned as proven exploits and reviewable patch PRs before release. On-demand runs are also supported.
- **How fast are first results?** First proven exploits typically land within 30 minutes of pointing Pensar at an environment, each with a working exploit and a reviewable fix PR.
- **Is Pensar open source?** The engine is: Apex (https://github.com/pensarai/apex) is the open-source offensive agent that powers Pensar. The hosted platform adds continuous orchestration, reporting, and the Applied AI team.

## Links

- Website: https://pensar.dev
- Continuous adversarial testing: https://pensar.dev/adversarial-testing
- Agent red teaming: https://pensar.dev/agent-red-teaming
- Documentation: https://docs.pensar.dev
- Blog: https://pensar.dev/blog
- Apex (open source): https://github.com/pensarai/apex
- Argus Benchmark: https://github.com/pensarai/argus-validation-benchmarks
- Contact: team@pensar.dev

## Blog Posts

- [Console V2: End-to-end continuous offensive security](https://pensar.dev/blog/introducing-console-v2)
- [You Will Be Outspent on Tokens](https://pensar.dev/blog/you-will-be-outspent-on-tokens)
- [Introducing Apex](https://pensar.dev/blog/introducing-apex)
- [Set Up Continuous Pentesting in your CI: A 10-Minute Guide](https://pensar.dev/blog/continuous-pentesting-ci-guide)
- [Level 5 Coding Agents](https://pensar.dev/blog/level-5-coding-agents)