Pentera Acquires DevOcean to Expand AI-Powered Cyber Risk Remediation

Oct 20, 2025
Pentera has acquired DevOcean, an AI-based remediation management platform, to integrate automated risk resolution into its security validation platform. The move aims to streamline the process from vulnerability detection to remediation for enterprise customers.

Pentera has acquired DevOcean, an AI-based remediation management platform, announced in a press release. The acquisition expands Pentera’s AI-powered security validation platform to automate the transition from risk validation to remediation operations.

The integration of DevOcean’s technology allows Pentera customers to automatically triage vulnerabilities, enrich findings with organizational context, and assign remediation tasks to relevant teams. The platform also supports tracking remediation progress against internal and compliance-driven service-level agreements.

Founded in 2021 by CyberArk veterans Doron Naim and Gil Makmel, DevOcean focuses on automating remediation workflows across infrastructure, cloud, and application layers. Its addition to Pentera’s platform aims to help enterprises efficiently move from identifying validated risks to resolving them through AI-driven automation.

Pentera’s platform is currently used by over 1,200 enterprises worldwide to emulate real-world cyberattacks and test their defenses. With DevOcean’s capabilities, the company extends its offering to include automated risk resolution alongside continuous threat exposure management.

We hope you enjoyed this article

Consider subscribing to one of our newsletters like Cybersecurity AI Weekly, AI Funding Brief or Daily AI Brief.

Also, consider following us on social media:

Cybersecurity AI AI Funding News AI Brief AI Brief (X)
Free newsletter

Cybersecurity AI Weekly

Weekly newsletter about AI in Cybersecurity.

AI Token Webinar

Whitepaper

Tensordyne Napier: What If One Rack Could Do the Work of Nine?

Tensordyne

This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.

Read more

You may also like

Free, six days a week

Daily AI Brief: the AI news that matters, in your inbox.