Furl has officially launched its next-generation AI-powered remediation platform, marking a significant breakthrough in cybersecurity operations. Designed to address the mounting backlog of endpoint and server vulnerabilities, the platform leverages artificial intelligence and automation to reduce manual workload, boost productivity, and simplify the patching process for overburdened security teams. With vulnerability disclosures skyrocketing—averaging 85 new CVEs per day in 2024—traditional approaches are proving insufficient. Furl reimagines remediation as a scalable, intelligent, and autonomous operation, tailored for modern enterprise environments.
The Growing Crisis: Vulnerability Management in 2024
1. The Escalating Volume of Threats
- Over 30% increase in CVEs compared to 2023.
- Security teams struggle to keep up with manual prioritization and patching.
- Enterprise software is often left unpatched due to tooling gaps and operational bottlenecks.
2. Limitations of Traditional Tools
- Conventional patch management and MDM tools offer limited coverage for diverse enterprise software.
- Manual workflows create inefficiencies, delays, and a growing list of unresolved vulnerabilities.
- Exception management becomes the default, rather than actual remediation.
3. A Need for Scalable, Automated Solutions
- Remediation at enterprise scale is viewed as Sisyphean without automation.
- Security leaders require solutions that not only scale but also coordinate and optimize across existing tools.
Furl’s AI-Powered Remediation Platform: Core Innovations
1. Automated Remediation Coordination
- Consolidates all server and endpoint vulnerabilities into a single, actionable queue.
- Eliminates fragmented workflows and manual triaging.
2. Autonomous Patching at Scale
- Automatically generates, tests, and deploys fix scripts based on the specific software and asset.
- Removes the need for patch tool customizations or manual development efforts.
3. Context-Aware Fix Coordination
- Provides dedicated portals for IT and security teams to collaborate in real-time.
- Ensures aligned execution across departments for faster resolution.
4. Optimized Patch Tool Coverage
- Enhances ROI by auditing existing patch policies.
- Informs teams when vulnerabilities will be handled by current tools—saving time and avoiding redundant efforts.
5. AI-Driven Remediation Co-Pilot
- Delivers intelligent insights into vulnerabilities, assets, and affected software.
- Reduces time spent on manual research, accelerating resolution workflows.
Enterprise Integration and Security
1. Designed for Scalability and Compliance
- Furl is SOC 2 Type 2 compliant, ensuring adherence to strict data and operational controls.
- Deploys as a SaaS platform with onboarding possible in minutes.
2. Seamless Ecosystem Integration
- Integrates with industry-standard security tools, including:
- Tenable Vulnerability Management
- Automox
- Rapid7 InsightVM
- Additional IT and security platforms
The Team Behind Furl: Expertise You Can Trust
1. Derek Abdine, CEO
- Former CTO at Censys and leader in vulnerability management at Rapid7.
- Holds six patents in threat intelligence and remediation technologies.
2. Zac Youtz, CTO
- DevOps and security expert with experience across the Department of Defense, Union Pacific, and Automox.
3. Alli Treman, Head of UX
- Former engineering leader at Skillshare and co-founder of one of the first U.S. hackerspaces, HacDC.
- Brings deep experience in building intuitive, security-focused user experiences.
Furl’s AI-powered remediation platform addresses one of the most pressing challenges in cybersecurity today: the inability to keep pace with an ever-expanding vulnerability landscape. By fusing automation with intelligent remediation workflows, Furl empowers security teams to overcome the limitations of traditional patching tools, reduce operational burden, and close security gaps faster.
With its industry-first autonomous patching engine and AI remediation co-pilot, Furl stands out as a transformative force in modern cybersecurity infrastructure—delivering speed, scale, and simplicity where it’s needed most.
