The State of Enterprise Cyber Resilience Research Series
The State of Enterprise Cyber Resilience Research Series
The economics of cyber defense have changed. Attackers now use AI to generate phishing, deepfakes, and malware, and to weaponize vulnerabilities faster than any human patch cycle can close them. When the window to detect and contain an intrusion is shorter than the time it takes an analyst to read the alert, the human-in-the-loop model that security has relied on for a generation stops being a safeguard and becomes a bottleneck.
Autonomous cyber resilience is the response. Across the enterprise, security leaders are already piloting and deploying agentic AI, automating vulnerability remediation, and preparing to let AI agents detect, contain, patch, and even restore endpoints without waiting for a human to approve every action. But adoption is not the same as maturity, and the endpoint, where attacks land and downtime is felt, is where autonomous resilience is won or lost.
This research draws on new data from 1,000 security leaders to map exactly where enterprises stand on the autonomous journey: what they have automated, where they still keep a human on the loop, what the cost of staying manual really is, and what it will take to build autonomy that leaders can trust. It is a benchmark for any organization deciding how far and how fast to move.
Key findings on Autonomous Cyber Resilience in the Era of AI:
- Learn why 58% of security leaders say AI-assisted attackers now weaponize vulnerabilities faster than their teams can patch them, while most still take six to twenty days to close a critical vulnerability.
- See where enterprises truly are on the autonomous journey: 83% are already piloting or running agentic AI in security operations, yet only 4% describe themselves as broadly autonomous.
- Understand why 88% of leaders say autonomous recovery would measurably reduce the cost of downtime, at a time when 71% put full recovery from a single incident at $3.1 million or more.
- Discover the human cost of the AI era: 60% say board pressure to adopt AI is outpacing their ability to govern and secure it, and half have considered leaving the profession.
- Learn what 1,001 CISOs across the US and UK reveal about autonomous endpoint management, why controls keep failing, and where they are investing next.
Manual recovery is what turns a contained incident into a multi-million-dollar, multi-day event. This research gives you the data to make the case for autonomy, and a clear-eyed view of the trust, oversight, and endpoint capabilities required to get there safely.
Download the research today to benchmark your organization against 1,000 of your peers, and to see why autonomous cyber resilience has become the only sustainable path for the modern enterprise.
The State of Enterprise Cyber Resilience Research Series
Informed by a survey of 1,000 CISOs across the US and UK, this research examines why enterprise defense and recovery can no longer be manual, and what security leaders are doing about it. See how far enterprises have come, and how far they must go.
The economics of cyber defense have changed. Attackers now use AI to generate phishing, deepfakes, and malware, and to weaponize vulnerabilities faster than any human patch cycle can close them. When the window to detect and contain an intrusion is shorter than the time it takes an analyst to read the alert, the human-in-the-loop model that security has relied on for a generation stops being a safeguard and becomes a bottleneck.
Autonomous cyber resilience is the response. Across the enterprise, security leaders are already piloting and deploying agentic AI, automating vulnerability remediation, and preparing to let AI agents detect, contain, patch, and even restore endpoints without waiting for a human to approve every action. But adoption is not the same as maturity, and the endpoint, where attacks land and downtime is felt, is where autonomous resilience is won or lost.
This research draws on new data from 1,000 security leaders to map exactly where enterprises stand on the autonomous journey: what they have automated, where they still keep a human on the loop, what the cost of staying manual really is, and what it will take to build autonomy that leaders can trust. It is a benchmark for any organization deciding how far and how fast to move.
Key findings on Autonomous Cyber Resilience in the Era of AI:
- Learn why 58% of security leaders say AI-assisted attackers now weaponize vulnerabilities faster than their teams can patch them, while most still take six to twenty days to close a critical vulnerability.
- See where enterprises truly are on the autonomous journey: 83% are already piloting or running agentic AI in security operations, yet only 4% describe themselves as broadly autonomous.
- Understand why 88% of leaders say autonomous recovery would measurably reduce the cost of downtime, at a time when 71% put full recovery from a single incident at $3.1 million or more.
- Discover the human cost of the AI era: 60% say board pressure to adopt AI is outpacing their ability to govern and secure it, and half have considered leaving the profession.
- Learn what 1,001 CISOs across the US and UK reveal about autonomous endpoint management, why controls keep failing, and where they are investing next.
Manual recovery is what turns a contained incident into a multi-million-dollar, multi-day event. This research gives you the data to make the case for autonomy, and a clear-eyed view of the trust, oversight, and endpoint capabilities required to get there safely.
Download the research today to benchmark your organization against 1,000 of your peers, and to see why autonomous cyber resilience has become the only sustainable path for the modern enterprise.