AI Is Getting Smarter. So Are the Threats. Are You Prepared?
Learn how AI models like Mythos are reshaping cyber risk and what organizations must do to reduce downtime and stay operational.
AI tools like ChatGPT and Claude are accelerating how vulnerabilities are discovered and exploited. Models like Mythos signal a new phase of cyber risk where threats move faster and disruption becomes inevitable.
The real challenge is not understanding the threat. It is translating that risk into business impact and taking action before downtime occurs. Organizations must now rethink how they stay operational in an environment where the window between exposure and exploitation is rapidly shrinking.
What You’ll Learn
- What Mythos signals about the next phase of AI-driven threats
- How AI is accelerating vulnerability discovery and exploit development
- Where AI-driven risk is already impacting organizations today
- Why prevention-first security strategies are no longer enough
- Practical steps to reduce downtime and maintain business continuity
In the age of AI, disruption is no longer a possibility. It is an operational reality. The organizations that succeed will not be those that prevent every threat, but those that remain operational when disruption occurs.
Join Absolute Security to learn how to strengthen cyber resilience, reduce downtime, and keep your business running in an AI-driven threat landscape.
AI tools like ChatGPT and Claude are accelerating how vulnerabilities are discovered and exploited. Models like Mythos signal a new phase of cyber risk where threats move faster and disruption becomes inevitable.
The real challenge is not understanding the threat. It is translating that risk into business impact and taking action before downtime occurs. Organizations must now rethink how they stay operational in an environment where the window between exposure and exploitation is rapidly shrinking.
What You’ll Learn
- What Mythos signals about the next phase of AI-driven threats
- How AI is accelerating vulnerability discovery and exploit development
- Where AI-driven risk is already impacting organizations today
- Why prevention-first security strategies are no longer enough
- Practical steps to reduce downtime and maintain business continuity
In the age of AI, disruption is no longer a possibility. It is an operational reality. The organizations that succeed will not be those that prevent every threat, but those that remain operational when disruption occurs.
Join Absolute Security to learn how to strengthen cyber resilience, reduce downtime, and keep your business running in an AI-driven threat landscape.
Featured speakers
FAQ
AI-driven insights help identify non-compliant devices, detect zero-day risks, and surface shadow AI usage for remediation.
This is where the game really changes. Traditional tools often fail the moment a device leaves the corporate network because they rely on VPNs. A modern automated patching solution uses a persistent, firmware-embedded connection to every endpoint. This means it doesn't matter where the device is or if it's connected to a VPN. The process is simple:
- The solution identifies a new patch and its importance.
- It automatically downloads and deploys the patch to all relevant devices.
- It verifies that the installation was successful.
- It provides real-time proof of compliance back to you.
It's about having unbreakable control, so you're not just hoping your remote endpoints are secure—you know they are.
A patching tool that can't talk to anything else is just creating another silo. True endpoint security requires an integrated ecosystem. A strong automated patch management solution should work with your existing tools, not against them. Look for platforms that offer integrations with ITSM systems (like ServiceNow), vulnerability scanners, and other security platforms. The goal is to create a seamless workflow where a vulnerability is detected, a ticket is created, the patch is deployed, and the ticket is closed—all automatically. This level of integration turns your patching process from a manual chore into a key part of your automated security response.
The sheer volume of new vulnerabilities can feel paralyzing[NA2] . Where do you even start? This is where risk-based prioritization becomes essential for risk reduction. Simply patching based on a CVSS score is an outdated model. An effective automated solution integrates vulnerability data with real-world threat intelligence. It helps you focus on what attackers are actively exploiting right now and which assets are most critical to your business. This lets you move from a reactive, checklist-driven process to a proactive strategy that tackles the biggest threats first.
Precision in endpoint asset visibility provides benefits far beyond a simple device count. For starters, superior device inventory management directly controls licensing costs; software licenses for “ghost” devices become a thing of the past, and hardware/software inventory can be right-sized to match actual business needs. Moreover, risk and compliance are transformed. Each unmanaged device is a compliance risk and a security gap. With IT asset tracking that offers complete visibility, proving compliance and ensuring every device is patched and protected becomes routine. The platform also reveals unsanctioned apps—including shadow GenAI tools—protecting sensitive data. Ultimately, accurate device inventory management strengthens financial health, compliance standing, and overall security posture.
