
1 - 10 employees
Founded 2025
🔒 Cybersecurity
🤖 Artificial Intelligence
🏢 Enterprise
Cybersecurity • Artificial Intelligence • Enterprise
CYBRET AI is an autonomous security research and development lab building intelligent systems that understand, reason about, and respond to real-world cyber threats at machine speed across complex digital environments. The company develops real-time security knowledge graphs that unify identities, assets, logs, and threat signals into a single reasoning layer, and designs AI-driven detection, attack-path reconstruction, and automated response capabilities for enterprise and critical infrastructure. CYBRET AI also studies AI-powered adversaries and creates automated data-labeling pipelines to produce high-fidelity training data, bridging research to deployable autonomous security systems.
🕒 February 25
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1 - 10 employees
Founded 2025
🔒 Cybersecurity
🤖 Artificial Intelligence
🏢 Enterprise
Cybersecurity • Artificial Intelligence • Enterprise
CYBRET AI is an autonomous security research and development lab building intelligent systems that understand, reason about, and respond to real-world cyber threats at machine speed across complex digital environments. The company develops real-time security knowledge graphs that unify identities, assets, logs, and threat signals into a single reasoning layer, and designs AI-driven detection, attack-path reconstruction, and automated response capabilities for enterprise and critical infrastructure. CYBRET AI also studies AI-powered adversaries and creates automated data-labeling pipelines to produce high-fidelity training data, bridging research to deployable autonomous security systems.
• Design and implement AI pipelines for detection, reasoning, prioritization, and decision support • Build agent-based and workflow-driven AI systems operating over security data • Work with structured and unstructured data across logs, alerts, telemetry, and external intelligence • Collaborate on infrastructure, deployment, and scaling of AI services • Implement monitoring, evaluation metrics, and guardrails • Work closely with security domain experts to encode real-world reasoning into AI systems
• Strong experience building production AI or ML systems • Hands-on experience with LLMs, retrieval-augmented generation, or agent-based systems • Solid software engineering background with Python and modern backend systems • Experience working with distributed systems, APIs, and data pipelines • Strong problem-solving skills and ability to reason about complex systems • Experience in cybersecurity, cloud security, or large-scale data platforms is a strong bonus, but not required.
• Competitive salary and meaningful equity • A small, elite team with strong technical standards • Freedom to build systems the right way, without legacy constraints • Remote-friendly setup
Apply Now🕒 September 24, 2025
Lead AI Engineer leading Python AI platform development at Iris.ai, guiding architecture, mentoring engineers, and shipping RAG/ML products.
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