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Kai Launches Auto Remediation, Releases 2026 Cybersecurity Report


Kai Launches Auto Remediation, Releases 2026 Cybersecurity Report
  • by: PR Newswire
  • |
  • July 31, 2026

Kai has unveiled its inaugural 2026 State of Autonomous Defense Report alongside the launch of Auto Remediation, a new capability designed to automate vulnerability remediation. Based on a global survey of 500 Chief Information Security Officers (CISOs), the report highlights the widening gap between AI-powered cyberattacks and traditional human-led security operations while emphasizing the growing need for trusted autonomous cybersecurity.

Quick Intel

  • Kai releases its inaugural 2026 State of Autonomous Defense Report.
  • Company launches Auto Remediation to automate vulnerability remediation.
  • Survey finds 63% of CISOs believe AI gives attackers the advantage.
  • Sixty-five percent of organizations still rely on largely manual vulnerability management.
  • Machine-led vulnerability management is expected to grow from 35% to 45% within 18 months.
  • Trust, governance, and compliance remain key barriers to autonomous cybersecurity adoption.

Kai Report Highlights the Need for Autonomous Cybersecurity

Kai's inaugural 2026 State of Autonomous Defense Report reveals that organizations are struggling to match the speed of AI-powered cyberattacks with traditional security operations. While most security leaders recognize the growing impact of artificial intelligence on cybersecurity, operational processes remain heavily dependent on manual intervention.

The report is based on responses from 500 CISOs across private-sector organizations with annual revenues exceeding $500 million. According to the findings, AI is fundamentally reshaping the cybersecurity landscape, making autonomous security operations increasingly essential for modern enterprises.

Galina Antova, co-founder and CEO of Kai, said, "AI is transforming how organizations defend themselves and shifting the economics of cyber defense. Speed alone isn't enough. The real opportunity today is trusted automation that doesn't just prioritize risk; it eliminates it, giving security teams a clear path to zero. That's why we built Auto Remediation: to close the loop between detection and action. The next phase of cybersecurity must let security teams respond at the pace modern threats demand."

CISOs Recognize AI Threats but Confidence Remains Limited

The survey found that 89% of CISOs believe their organizations are prepared for AI-driven cyberattacks. However, only 28% consider themselves very prepared, revealing a significant gap between awareness and operational confidence.

Additionally, 63% of respondents believe cybercriminals currently hold an advantage because of AI, reflecting growing concerns over shrinking vulnerability exploitation timelines and increasingly sophisticated AI-powered attacks.

These findings suggest that while organizations understand the evolving threat landscape, many security operations continue to rely on manual processes that cannot keep pace with modern attack speeds.

Manual Vulnerability Management Slows Cyber Defense

Kai's research shows that vulnerability management remains one of the most resource-intensive cybersecurity functions.

According to the survey:

  • 65% of organizations report their vulnerability management processes are at least half manual.
  • 60% require more than one week to remediate critical vulnerabilities.
  • 48% leave at least one-quarter of known vulnerabilities unresolved for more than 30 days.

The report also highlights the impact on security professionals. More than 77% of CISOs say vulnerability management contributes to security team burnout, while over 60% indicate remediation validation and automated actions still require human intervention.

These operational bottlenecks continue to increase organizational cyber risk while placing significant pressure on security teams.

Organizations Embrace Automation Despite Trust Concerns

Although enterprises increasingly recognize automation as essential, trust remains the biggest obstacle to wider adoption.

According to the report:

  • 52% cite lack of trust in automated decision-making as the primary barrier.
  • 43% identify governance and compliance concerns.
  • 38% point to cybersecurity skills shortages.

Organizations are currently most comfortable automating lower-risk activities such as asset discovery (55%) and vulnerability prioritization (49%). Meanwhile, 32% already allow automated remediation actions, demonstrating growing confidence in machine-led cybersecurity operations.

Auto Remediation Brings AI-Driven Security Operations

To address these operational challenges, Kai introduced Auto Remediation, a capability that automatically determines whether confirmed vulnerabilities can be safely remediated without human involvement.

When autonomous remediation is appropriate, the platform executes the fix automatically. If human approval is required, Kai prepares a complete remediation plan and stages the required changes, allowing technical teams to resolve vulnerabilities significantly faster.

The report also forecasts continued growth in autonomous cybersecurity, with organizations expecting machine-led vulnerability management to increase from 35% today to 45% over the next 12 to 18 months.

As enterprises continue adopting AI across security operations, Kai's latest research and Auto Remediation launch reflect the industry's broader transition toward autonomous cyber defense capable of responding to threats at machine speed while maintaining enterprise oversight.

About Kai

Kai is the AI company rebuilding cybersecurity for the machine-speed era. Trusted by Fortune 500 and Global 2000 enterprises, the Kai Autonomous Defense Platform replaces fragmented tools and human-limited workflows with agentic AI that works continuously across cyber asset management, application security, infrastructure vulnerability management, and detection engineering. It contextualizes, reasons, and acts at machine speed and enterprise scale. What takes human-led teams weeks, Kai executes in hours, driving risk toward zero through Auto Remediation. Human defenders don't just keep up. They become superhuman.

  • Agentic AIAutonomous SecurityAuto RemediationVulnerability Management
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