Webinar Description
Key Takeaways
- AI-enabled cyberattacks are rising sharply, with an 89% increase reported year-over-year
- Attackers now complete breaches in under 30 minutes, outpacing human response times
- Traditional cloud security approaches are struggling to keep up with the speed and sophistication of AI-driven threats
- Skyhawk Security leverages AI-powered simulations to proactively identify and address vulnerabilities in cloud environments
- The webinar explores practical strategies for reducing cloud risk and accelerating incident response in the age of AI
AI-driven cyber threats have moved from theory to reality, fundamentally changing the landscape of cloud security. As leading organizations such as Anthropic, AWS, and Fortinet raise concerns, recent data from Crowdstrike’s 2026 Global Threat Report highlights the urgency: AI-enabled attacks have surged, and the window for effective human response is shrinking rapidly.
Why AI-Enabled Attacks Demand a New Approach
The rapid escalation of AI-powered attacks is forcing security teams to rethink their defenses. Attackers are now able to breach cloud environments in less than half an hour, while human-led investigations and responses often lag behind, taking six hours or more. This mismatch exposes organizations to significant risk, as traditional security measures struggle to keep pace with the evolving threat landscape.
Skyhawk Security’s AI Red Team: Proactive Cloud Defense
Skyhawk Security addresses these challenges by deploying an AI Red Team that continuously simulates adversarial attack sequences against a digital model of a live cloud environment. This approach allows security teams to visualize how attackers might navigate their architecture, identity layers, and security controls—before a real breach occurs. By identifying weaponized vulnerabilities in advance, organizations can strengthen their defenses and reduce exposure to emerging threats.
Responding at Machine Speed
One of the most significant advantages of AI-driven defense is the ability to respond at machine speed. By simulating and “seeing” attacks in advance, security teams can act quickly and decisively, closing the gap between detection and response. This capability is increasingly vital as attackers leverage automation and AI to accelerate their own operations.
Webinar Details and Industry Relevance
The upcoming webinar, featuring Jennifer Gill (VP, Marketing) and Nathan Schmidt (Solutions Engineer), offers a focused 30-minute exploration of these pressing issues. Attendees will gain insight into the operational challenges of defending cloud environments against AI-enabled threats, as well as practical guidance for reducing risk and improving incident response. The session is designed for professionals seeking to understand the latest trends in cloud security and the practical implications of AI-driven attacks.