AI security and anti‑abuse for “SpamGPT” and related threats covers the detection, mitigation and governance patterns needed to stop large‑scale, automated misuse of generative models — from mass phishing and spam to synthetic‑voice scams and bot farms. As of 2025‑12‑18, organizations must address increasingly automated, low‑cost attacks that combine text, voice, and conversational channels, requiring real‑time controls, provenance signals and tight operational integration. Effective defenses mix three approaches: autonomous detection and response, channel‑native moderation and contact‑center intelligence, and governed deployment of enterprise agents. Simbian exemplifies the autonomous SecOps layer with AI SOC, threat hunt, pentest and GRC agents operating over a unified Context Lake to reduce missed alerts and accelerate incident response. Modulate delivers channel‑specific defenses for voice — ToxMod for proactive, voice‑native moderation and VoiceVault for real‑time voice fraud and scam detection — which are critical as synthetic audio becomes a common vector. Observe.AI and Skit.ai bring conversation intelligence and compliance‑first orchestration to contact centers, enabling real‑time assist, automated QA and compliance controls that detect abuse originating from or targeting customer service channels. IBM watsonx Assistant provides enterprise multi‑agent assistants and orchestration primitives that can be instrumented for governance, rate‑limiting and explainability. Key operational trends include real‑time signal fusion (text + voice + behavioral), automated remediation workflows with human‑in‑the‑loop checkpoints, and provenance/watermarking to attribute generated content. Combining channel‑aware moderation, autonomous SecOps agents and governance controls creates a practical, layered defense against the next wave of generative‑AI abuse.