AI-Powered Crisis Management: Transforming Cybersecurity Responses with Nimrod Kozlovski

AI-Powered Crisis Management: Transforming Cybersecurity Responses with Nimrod Kozlovski

Cybersecurity breaches are unavoidable, making resilience and effective response critical for businesses. My conversation with Nimrod Kozlovski, co-founder of Cytactic, highlighted how AI can transform crisis management.


Kozlovski, an expert in guiding Fortune 500 companies through cyber incidents, observed significant chaos during crises despite numerous external advisors. He noted that relying on various experts, each with their own processes, often creates confusion when clarity is most needed. This fragmented, manual approach exacerbates damages; Kozlovski points out that most cyber incident damages stem from the chaotic response rather than the initial attack. Many companies shut down unnecessarily or operate unaware of ongoing risks, leading to substantial reputational, legal, and financial harm.


The core issue, Kozlovski believes, is a lack of technological support in crisis management. While other business functions have embraced digital transformation, cyber crisis management often relies on outdated, static playbooks.


AI offers a powerful solution. AI tools, like those from Cytactic, can simulate potential crises tailored to an organization's vulnerabilities. Kozlovski emphasized that AI excels at dynamically adjusting crisis response processes in real time, unlike static traditional playbooks.


AI also streamlines communication and task prioritization by synthesizing complex data into actionable insights for faster decision-making and clearer communication. Kozlovski highlighted Israeli startups, including Cytactic, that use AI to automate threat detection and response, immediately initiating targeted actions upon anomaly detection. This significantly reduces incident severity and duration by bridging the gap between detection and response, minimizing human error.


It's clear that organizations must prioritize resilience and real-time responsiveness, with AI dramatically enhancing crisis preparation. Embracing these advanced solutions will lead to fewer disruptions, quicker recoveries, and more robust business continuity. As Kozlovski stated, "AI’s role is enormous... It enhances human capabilities dramatically, offering clarity, confidence, and consistency precisely when human teams need them most."


The future of cybersecurity crisis management lies in intelligently managing inevitable attacks. Organizations must integrate AI-driven solutions to transform their security frameworks from reactive chaos to proactive, data-driven resilience.

Episoder(1145)

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Securing the AI-Driven World: A Conversation with Daniel Shechter, CEO of Miggo Security

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Cybersecurity is no longer just about preventing breaches—it’s now about enabling innovation securely in a fast-moving, AI-powered world. As artificial intelligence becomes embedded in everything from microservices to digital platforms, cybersecurity needs a major mindset shift. Daniel Shechter, CEO of Miggo Security, cybersecurity leader at 8200, and Havazalot program alumni, offers exactly that.Daniel’s journey—from jazz saxophonist to military intelligence, McKinsey consultant, and now startup founder—reflects a rare ability to simplify complex challenges. It’s a skill that’s more vital than ever as AI and cybersecurity rapidly converge.In our conversation, Daniel spotlighted a critical but often overlooked domain: application-layer security. Traditionally, app security focused on static code scans or endpoint defenses. But today’s systems run on microservices, rendering those approaches outdated. As Daniel explained, “Endpoints are losing many functionalities over time, shifting largely to SaaS in the backend. That’s what we protect.”This shift demands a new approach—one built on observability and real-time application detection and response. He compared today’s digital platforms to intricate water networks where threats can flow undetected. To keep up, security can’t just be reactive—it must be deeply integrated and proactive.The need for speed has never been clearer. Daniel cited eye-opening stats: AWS’s CISO reported that attacks tripled or quadrupled with the rise of generative AI. Even more alarming, attackers can now exploit known vulnerabilities in as little as 22 minutes—down from 100 days just a few years ago.For Daniel and Miggo Security, the mission is clear: secure innovation. “We’re here to facilitate innovation securely, responding dynamically as threats evolve,” he shared. In other words, cybersecurity can no longer be a barrier to progress—it must be the enabler.AI’s role in cybersecurity, especially at the app layer, calls for adaptive strategies that evolve as fast as threats do. Daniel’s approach—deep tracing, observability, and real-time response—embodies this necessary evolution.This conversation left me convinced: cybersecurity is entering a transformative era. Legacy tools and static defenses simply won’t cut it. Organizations must adopt agile, AI-driven solutions to protect and empower their growth.To stay ahead, companies need to prioritize flexibility and speed. In this new landscape, success belongs to those who can adapt faster than threats evolve.The message is clear: embrace AI-driven, adaptive cybersecurity—or risk falling behind.

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