LUMA Perimeter allows you to detect any security issues with organization data and services on the internet much faster than adversaries would.
LUMA Security AI platform combines attack surface management and public risk monitoring with active testing and exploitability analysis. You can monitor any changes to the external digital footprint, test all externally exposed services, keep track of public risks from multiple sources, and maintain a regularly updated penetration testing report.
LUMA Perimeter platform allows you to track risks, maintain regulatory compliance and continuously test the security of your publicly exposed assets from a single console.
What separates LUMA Perimeter from an attack surface scanner is what happens after the finding. Every uncertain result is reviewed by one of our testers before it reaches you, and it arrives with a fix advice written for your environment rather than a link to a generic advisory.
Continuously test your externally exposed services against existing and new exploits and attacks. Replace multiple monitoring and testing tools with a single AI platform.
Maintain a complete perimeter asset mapping and detect changes in your externally exposed assets and services as they occur.
Be aware of breached credentials, typosquatting and clickjacking risks, DNS and email health and security posture.
Ensure that no unwanted services or assets are exposed during the change process. Conduct external penetration testing on the new or changed assets and services immediately.
Always walk into an audit, a vendor security review, or an insurance renewal with an up-to-date penetration testing report.
On May 5, Parabellyx took the stage at the inaugural CIS 2026 Pitch Fest in Toronto. Ten minutes. Five judges, three of them sitting CISOs, one a senior venture investor, and one a senior director of procurement at the Government of Canada. Strong field. Tough room.
Every major security conference in 2026 is running sessions on how to secure AI agents. The conversations are serious, the concerns are legitimate, and the focus is, in large part, pointed at the wrong target.
Cybersecurity testing has evolved dramatically over the past two decades. What started as annual penetration tests has become continuous, automated, and increasingly powered by AI agents themselves. Organizations now deploy intelligent agents to run vulnerability scans, validate configurations,...
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