Agentic AI can transform how organizations operate and grow but only when they can trust it with meaningful work. Watch the conversation with security practitioners and AI builders to explore what it takes to test AI deployments, control the actions they can take, and respond when things go wrong.


AI systems can now retrieve internal information, interact with business tools, recommend decisions, and increasingly act on behalf of people.
That creates a new operational question: How do organizations give AI meaningful responsibility without losing control?
The answer requires more than model security alone. It requires a trust layer across how AI is deployed, monitored, tested, governed, and stopped when necessary. The Trust Layer of AI Operations brings these perspectives together in one practical conversation.



Can we give AI meaningful responsibility while keeping humans accountable? Explore permissions, human approval, escalation, oversight, and recovery for systems that can take action.
If something goes wrong, can we see it, understand it, and respond? Explore how security teams can recognize suspicious activity, investigate what happened, and coordinate an effective response across AI systems and connected tools.
How could the deployment be manipulated? Examine how adversarial testing can expose weaknesses across AI inputs, retrieval sources, models, and connected tools—and how those findings can inform stronger controls.

This conversation is designed for people responsible for building, securing, deploying, or governing AI in real-world environments.
Security Leaders: Evaluating how existing security operations need to adapt to AI deployments.
AI & Platform Engineers: Building applications and agentic workflows that interact with enterprise systems.
Technology Decision-Makers: Assessing when and how AI can safely move from experimentation into production.
Founders & AI Builders: Deploying AI into meaningful business processes and determining what safeguards are needed as access expands.

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Ahrar Naqvi
CEO, Ebryx
Ahrar leads Ebryx, a global cybersecurity and secure engineering company serving organizations across North America, the Middle East, and Europe. His work spans managed security, advanced R&D, and Zero Trust for critical infrastructure. He previously held senior Engineering roles at Palmchip, Veraz Networks, and Oracle and holds a master's degree in electrical engineering from Stanford University.
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Shannon Herrmann
Senior Recruiting Manager, Alexander Technology Group
Shannon Herrmann is a Senior Recruiting Manager at Alexander Technology Group, where she works closely with technology leaders and businesses across New England to build strong teams and navigate an evolving technology talent market. With more than a decade of experience in technology staffing and a background in sales, she brings a people-focused, business-minded perspective to conversations around technology, talent, and the changing workplace.
An active leader in New Hampshire’s technology community, Shannon serves on the Board of Directors of the NH Tech Alliance and Chairs its TechWomen|TechGirls initiative. A strong champion for women in technology and professional growth, she has helped lead the Alliance’s Tech Power Breakfast series for more than ten years and co-founded Women in Sales NH to build a community focused on connection, mentorship, and professional growth.

Efi Gatmor
VP of Engineering at BlueRock.io
Efi Gatmor is an experienced technology executive and engineering leader, currently serving as VP of Engineering at BlueRock.io. With a strong background in cloud security, networking, and enterprise technology, he has held senior leadership roles at Akamai Technologies, Riverbed Technology, and Expand Networks, specializing in engineering management, product development, and secure, scalable solutions.

Tanay Wakhare
AI consultant, MIT computer science PhD candidate, and CEO of Prompt Inversion and MathVision
Tanay Wakhare is an AI consultant, MIT computer science PhD candidate, and CEO of Prompt Inversion and MathVision. Through the boutique AI consultancy Prompt Inversion, he helps organizations develop AI strategies, build custom models, and automate complex workflows, with experience spanning cybersecurity, healthcare, and legal services. His consulting emphasizes secure and scalable systems. At MathVision, he is building an AI workspace to accelerate research for mathematicians and scientists. His work combines expertise in mathematical research, prompt optimization, and applied AI to help organizations innovate securely and scientists move from ideas to results.
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The questions around trustworthy AI don't end when the session does. Connect with peers working through practical security decisions across AI applications, enterprise systems, and emerging agentic workflows. Participation in the ongoing SecureNow community is optional and separate from event registration.

Explore what it takes to build the trust layer around your AI operations