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About AI & Cybersecurity: Building Agentic AI for Real-World Threat Detection

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SOC teams drowning in alerts. 97% false positives. Hours wasted on manual triage. Traditional security tools simply can't keep up. In this episode, we sit down with Ramya Ganesh—Top 50 Women Cybersecurity Leads in the US and AI & Cybersecurity leader at Cisco—to explore how Agentic AI is transforming the way organizations detect, investigate, and respond to threats in real time. What You'll Learn: 🔹 Multi-Agent AI vs. Traditional Security — Why one powerful AI model isn't enough, and how specialized agents (detect → investigate → summarize → alert) mimic how expert teams work 🔹 Real Measurable Impact — Reduced alert fatigue, faster investigation cycles, and freeing analysts for high-value strategic work instead of repetitive triage 🔹 Agentic AI vs. AI-Assisted Tools — What makes this shift fundamentally different from the "AI-powered" security tools of the past five years 🔹 Securing AI Itself — The biggest threats facing autonomous AI systems and how to protect AI that operates without human approval every step of the way 🔹 From POC to Production — Why most AI projects fail and the three differentiators of successful AI initiatives: business-first thinking, measurable success metrics, and governance discipline 🔹 Women in Cybersecurity — Advice for breaking into AI and cybersecurity, overcoming imposter syndrome, and building a leadership presence in technical fields Ramya's Closing Insight: "Successful organizations treat AI as a capability, not a project. It requires continuous monitoring, feedback loops, tuning, and governance—not a one-time deployment." Connect with Ramya Ganesh: https://www.linkedin.com/in/ramya-ganesh-082bb231 Subscribe: Spotify | Apple Podcasts | Amazon Music | iHeart Radio | YouTube | Substack #AgenticAI #Cybersecurity #CiscoXDR #SOC #WomenInTech #AIThreats #ThreatDetection #AsembleAI

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