A SaaS? platform that unifies security signals across assets, identity, cloud, digital channels, and blockchain systems to automate threat detection and response.
Added Jun 6, 2026
Security teams are overwhelmed by fragmented telemetry, noisy alerts, fast-moving fraud infrastructure, and attacks that span endpoint, cloud, identity, voice, digital deception, and on-chain assets. The signals show demand for real-time analytics, shared intelligence, AI SOC? agents, and automated response because manual triage is too slow for modern adversarial environments.
Build a unified threat signal layer that ingests alerts, asset data, identity events, fraud indicators, and blockchain intelligence, then normalizes them into a common risk graph. AI agents correlate weak signals, recommend or trigger response playbooks, generate custom detections, and continuously improve from customer feedback and shared threat patterns.
AI-driven fraud, deepfakes, digital deception, and blockchain attacks are increasing the speed and complexity of security operations. Companies are explicitly hiring around AI-first developer platforms, AI SOC? agents, LLM?-powered rules engines, and real-time detection and response.
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Abnormal AI is the leading AI-native security platform, protecting enterprise organizations from the full spectrum of cyber attacks. Powered by behavioral AI that understands human and machine identity, Abnormal detects and prevents attacks that evade traditional security tools — from sophisticated email threats to identity compromise and SaaS application abuse. Trusted by more than 2,500 enterprises — including over 25% of the Fortune 500 — Abnormal processes billions of identity signals daily
Background in endpoint security, cloud security, SIEM, or adjacent security domains is preferred. AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.
Build specialized incident response playbooks to defend against AI-driven external threats (deepfake BEC, AI phishing, model abuse, and data exfiltration). Embed AI-aware detection capabilities directly into existing security operations pipelines.
Build detection and response coverage across corporate, cloud, and data center environments that are growing faster than any off-the-shelf playbook assumes. Secure the systems and networks that frontier AI labs depend on, where downtime and compromise both carry real cost.
Cloud & Platform Security through AI: Oversee the security of our cloud infrastructure and platform leveraging AI and agentic workflows, enabling data-driven and automated security posture management.
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