EP 50: AI & Cybersecurity: Building Agentic AI for Real-World Threat Detection copertina

EP 50: AI & Cybersecurity: Building Agentic AI for Real-World Threat Detection

EP 50: AI & Cybersecurity: Building Agentic AI for Real-World Threat Detection

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97% false positives. Millions of alerts daily. Security tools that can't keep up. The threat landscape has outpaced traditional security operations—and Agentic AI is the answer.

In this episode, hosts Mac Goswami and Sam Dey sit down with Ramya Ganesh, Top 50 Women Cybersecurity Leads in the US and AI leader at Cisco, to break down how autonomous AI agents are transforming cybersecurity from detection to response.

Key Insights:

Multi-Agent Systems Beat Single Models — Like a hospital with specialists, multiple focused agents outperform one generalist AI. Modular, scalable, explainable, resilient.

The Future SOC — Not humans vs. AI, but humans supervising teams of AI agents handling continuous telemetry while analysts focus on strategic decisions.

Agentic AI vs. AI-Assisted Tools — Speed, autonomy, and cross-system correlation distinguish today's agentic platforms from yesterday's alert dashboards.

POC to Production — Most AI initiatives fail because they start with technology, not business problems. Success requires measurable metrics and governance discipline before deployment.

For Women in Tech — Stay curious, experiment, share what you build publicly. Imposter syndrome is real but community and visibility accelerate growth.

Ramya's takeaway: "The companies seeing the greatest AI success aren't those with the most advanced models—they're the ones with the strongest discipline around AI adoption."

Connect with Ramya: https://www.linkedin.com/in/ramya-ganesh-082bb231/

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#AgenticAI #Cybersecurity #WomenInTech #SOC #AsembleAI

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