Spotlight: November 3, 2026


The Weekly Dispatch

Top interviews from this week

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📍 Weekly Exclusive Interviews

This week’s Dispatch explores the gap between giving AI access and controlling what happens next. Ganesh Kirti of TrustLogix highlights the need for runtime oversight—the ability to decide what an autonomous agent is allowed to do as it operates.

​Feras Tappuni of SecurityHQ brings the broader governance challenge into focus: AI can strengthen threat detection and response, but organizations still need control over its use.

​Raj Mallempati of BlueFlag Security completes the picture, arguing that AI-driven development requires visibility into both human and non-human identities—not just vulnerabilities in code.

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​2026 Cybersecurity Statistics & Data Insights​

Ganesh Kirti, an expert in cybersecurity and AI security at TrustLogix, provides a detailed look into the current state of AI cybersecurity. His insights reveal that autonomous agents, now a staple in enterprise environments, lack sufficient runtime oversight, creating significant security risks. Kirti's data is gathered from his extensive work with enterprises worldwide. Autonomous agents are already inside your data, but at this point there's nothing at runtime that decides what these agents are allowed to do. — Ganesh Kirti, Expert, TrustLogix. Kirti emphasizes the critical need for real-time control over AI agents to prevent unauthorized data access.

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​2026 AI Governance in Cybersecurity Statistics​

In the ever-evolving landscape of cybersecurity, AI governance has emerged as a pivotal concern. Feras Tappuni, with his extensive expertise, sheds light on the intricacies of managing AI within security frameworks. His insights reveal how AI can both enhance and challenge current cybersecurity practices. AI is an opportunity for most businesses, but the challenge is in controlling it. — Feras Tappuni, CEO, SecurityHQ. The data collected by Feras Tappuni across numerous engagements highlights the dual nature of AI in cybersecurity. While it offers unprecedented capabilities in threat detection and response, it also poses significant governance challenges.

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​16 Cybersecurity Statistics 2026: Data Insights​

Raj Mallempati's data underscores the critical need for identity-focused security in AI-driven development environments. His insights, gathered from numerous engagements, reveal the overlooked risks within SDLC processes. 90% of all developers now use AI coding tools. — Raj Mallempati, Founder, BlueFlag Security. The data collected by Raj Mallempati across various industry engagements highlights the inadequacies in current application security tools. These tools often fail to address identity-based risks, which comprise a significant portion of vulnerabilities. The focus should shift towards creating a unified governance layer that provides comprehensive visibility and control over both human and non-human identities.

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🔦 Weekly Spotlight

Three priorities connect these interviews: enforce permissions while agents act, pair AI security capabilities with clear governance, and address identity risks throughout software development. The common thread is control: knowing who—or what—is accessing systems, what they can do, and when that access should stop.

 

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💡 Final Thoughts

This week’s takeaway: control agent actions, govern AI use, and bring identity into development security.

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Michael Bernzweig
Founder, Software Oasis
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