About Skyhawk Security
Skyhawk Security sells an agentless AI purple team platform that uses the same tools adversaries do. Skyhawk Security delivers an autonomous, preemptive cloud security platform. Skyhawk Autonomous Purple Team ingests existing findings from CNAPP, SIEM, cloud-native security tools and vulnerability management, and runs adversary simulations against them.[4][5][9]
Skyhawk Security says dev and security teams waste time and energy on alerts that pose no real risk. Skyhawk Security says security and application teams are inundated with thousands of critical alerts, and that industry statistics show 3-4 months to remediate a single high-priority finding. Skyhawk Security says severity scores do not equal business risk and that teams cannot tell which CVEs are truly weaponizable.[5]
Skyhawk ingests security findings from CNAPPs and cloud-native tools such as AWS Inspector and GuardDuty without requiring agents. Skyhawk's AI-powered Red Team simulates attacks against an AI-generated digital twin environment of the customer's cloud, created within Skyhawk's SaaS platform, to find what is truly exploitable. Skyhawk Security says the simulations run continuously as security controls and cloud architecture change. Skyhawk Autonomous Purple Team validates whether a vulnerability is truly exploitable. Skyhawk delivers a prioritized list of validated, weaponized threats based on the business value of the at-risk asset, with attack plan analysis.[1][4][5]
A Skyhawk Security capability helps security teams prioritize exposures and simulated AI red team attack scenarios based on threat intelligence. Skyhawk Security has engaged with a company to evaluate its readiness to prevent AI Autonomous attacks on its AWS cloud.[9]
Skyhawk Synthesis Security Platform uses AI and ML to identify malicious behaviors and the intent behind them. Skyhawk Synthesis Security Platform creates a ML model per customer cloud, for the applications in the cloud, and for the users who access the applications in the cloud. Malicious Behavior Indicators, called MBIs, are indicators that Skyhawk Security develops based on repetitive suspicious and malicious activities that the platform observes. Skyhawk Synthesis aggregates MBIs into a sequence of events that shows how a breach or attack has unfolded. Skyhawk Synthesis raises an attack sequence to an alert once a defined threshold has been reached.[10][11]
Skyhawk Synthesis does not depend on agents. Skyhawk pulls logs when there are updates. Skyhawk Synthesis uses third-party data sources such as AWS Guard Duty to back up log data. Skyhawk Synthesis delivers runtime observability to uncover threats in progress. Skyhawk's runtime hub correlates activities from any log or source for live detection and response. Skyhawk monitors the entire infrastructure, including used and unused permissions.[12][13]
Skyhawk Security's solution has three levels of machine learning models to contextualize activities, events and behaviors. Skyhawk Security's data science team reviews and updates these models on a daily basis.[2][4][5][6][8][14]
Skyhawk Security on the record