Deploy agents across your apps, APIs, cloud, and network. They find vulnerabilities, prove each one with a working exploit, and open the fix.
One platform runs the whole loop: find the vulnerability, prove it, fix it, and confirm the fix held.
Agents pen test your production apps and APIs around the clock and confirm every finding with a working exploit.
Agents combine static and dynamic analysis to surface real vulnerabilities across your source, dependencies, and running app.
Scanners match patterns. Agents understand workflows and chain legitimate features into the abuse cases that cost you money.
Agents map your external surface, including subdomains, APIs, staging environments, and forgotten hosts, then keep testing it as it changes.
Agents confirm, deduplicate, and risk-score every result so your team only sees what is real and what matters.
Agents generate, test, and open pull requests for confirmed vulnerabilities, so fixes land in your repo.
After a fix ships, agents rerun the original exploit against the live target and update the finding with the result.
Every agent action is logged and every finding documented, so pen test reports and audit evidence are ready before anyone asks.
Agents track a security question for every part of your surface and re-answer it on every assessment, so coverage is something you can show an auditor.
Describe the task in plain language. Agents plan it, execute it against your targets, and report back with evidence.
Hand agents your architecture, policies, and accepted risks. They apply it on the next run and stop re-reporting decisions you made on purpose.
Agents attack with no knowledge of your codebase, exactly like an external attacker.
Schedule on demand, weekly, or monthly. First results in hours.
Agents also read your source code, so they can trace data flows, spot logic flaws, and find more in every run.
Schedule on demand, weekly, or monthly. First results in hours.
Every confirmed finding can end in a fix, whether it lives in code, cloud infrastructure, or network configuration.
Agents generate validated patches and open PRs directly in your codebase, each with a threat model explaining the vulnerability and how it was fixed.
Findings are automatically filed as tickets in Jira or Linear with full context. When a fix is deployed, agents retest to confirm the vulnerability is resolved.
Agents remediate misconfigured cloud infrastructure directly, patching IAM policies, security groups, and resource configs across AWS, Azure, and GCP.
Extend remediation to network-level configurations, firewall rules, routing policies, and access controls that agents discover and fix.
Agents fix more than code. When they change cloud configs, network policies, or infrastructure, the Agentic Control System records every change, routes it through approval, and lets you roll it back. Think git, for everything that is not code.
Every agent-made change is versioned with full before/after state, so you always know what changed and can roll back.
Route changes through your existing approval process. Agents propose, your team approves, agents apply.
A complete history of every remediation: who, what, when, and why. Built for compliance.
Agents move fast. The control system means they never move faster than your visibility.
Agents run every capability below as part of every operation. Nothing separate to buy, configure, or monitor.
Penetration testing
End-to-end pen tests against your live environment with compliant, exportable reports.
Dynamic application security
Agents perform deep DAST analysis natively, with no separate scanner. Authenticated crawling, business logic testing, and API security in every run.
Vulnerability management
Findings are validated, deduplicated, risk-scored, and tracked over time. Agents triage so your team doesn't have to.
Software composition analysis
Agents identify vulnerable dependencies and open-source risks across your codebase as part of every operation.
Threat intelligence
Agents draw on real-time threat data to prioritize what matters, testing for actively exploited CVEs and emerging attack techniques.
Attack surface mapping
Continuous discovery and monitoring of every exposed asset across your organization: subdomains, APIs, cloud resources, and more.
Agents never start from scratch. They remember your stack, your deploy patterns, and your defenses, so every run starts smarter than the last.
Agents map how your teams build, deploy, and configure systems, tailoring their testing and remediation to your specific stack and conventions.
Every operation deepens an agent’s understanding of your environment. Past findings, infrastructure changes, and deployment patterns all inform future runs.
Agents remember what worked and what didn’t. They evolve their approach based on your specific defenses, getting sharper with every cycle.
Agents skip re-discovering what they already know. That time goes into deeper testing and broader coverage.
MCP native by default, persistent memory across runs, and a control surface designed for steering agents instead of configuring scanners.
Agents discover and call tools through the Model Context Protocol, so your scanners, code hosts, ticketing, and cloud APIs plug in without glue code. Add a new MCP server and agents start using it on the next run.
Trigger on every CI/CD push, on a schedule, or always on. Agents probe, adapt, and remember what worked across operations instead of starting from scratch every time.
