Zscaler launches Agentic SOC to contain AI-Driven Threats

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  "company": {
    "name": "Zscaler",
    "domain": "zscaler.com"
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    "url": "https://www.globenewswire.com/news-release/2026/09/09/3358327/0/en/zscaler-launches-agentic-soc-to-contain-ai-driven-threats.html",
    "title": "Zscaler launches Agentic SOC to contain AI-Driven Threats",
    "excerpt": "SAN JOSE, Calif., Sept. 09, 2026 (GLOBE NEWSWIRE) -- Zscaler, Inc. (NASDAQ: ZS), the cybersecurity platform for the AI era, today announced Zscaler Agentic SOC, a new approach to security operations built to proactively reduce exposures, scale human expertise and stop AI-driven attacks at machine speed. In today’s threat landscape, simply layering in AI capabilities onto the existing security stack will not provide the protection needed. Zscaler is delivering a new solution to the security operations center (SOC), purpose-built from the ground up with an AI-first approach to detect, investigate, and stop threats at machine speed. Today’s threat landscape is defined by speed and stealth as AI-driven attacks move faster than SOC teams can manually correlate, analyze, and remediate. Threatlabz, Zscaler’s global research team, is also seeing a rise in evasive tactics, including the use of trusted sites to host attacks, abuse of legitimate remote management tools, and browser-based attacks. Zscaler Agentic SOC is built to meet that challenge by combining unique Zscaler telemetry, the world’s largest decoy mesh network, expert-validated agents, integrated Zscaler Zero Trust controls, and customers’ third-party controls to detect threats earlier and automate containment at machine speed. To power Agentic SOC, Zscaler has partnered with leading frontier AI labs, including Anthropic...",
    "product": "Zscaler Agentic SOC",
    "summary": "Maire Tecnimont is using Zscaler's Agentic SOC to manage alert noise and improve decision-making for its cybersecurity team.",
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    "published_at": "2026-09-09T07:01:00Z",
    "article_sentence": "“Zscaler Agentic SOC gives us full attack-path context using telemetry we already had in place, helping our team move from fragmented signals to faster, more informed decisions.",
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curl -X POST https://signals.autobound.ai/v1/companies/enrich \
  -H "X-API-KEY: $AUTOBOUND_API_KEY" \
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  -d '{"domain":"zscaler.com","limit":20}'