Why AI Is Accelerating Threats Faster Than Organizations Can Detect Them

This report explores the growing gap between modern threats and legacy security approaches, revealing why organizations need contextual, intelligent, and continuous security to protect distributed workforces and sensitive data.

What’s Inside the Report?

The AI Threat Multiplier

Learn how AI is reducing the cost and effort required to launch sophisticated cyberattacks while increasing their speed, scale, and precision.

The Visibility Crisis

Discover why organizations generate more security data than ever before yet still struggle to identify risk before damage occurs.

Insider Threats 2.0

Understand how insider risk has evolved beyond malicious employees to include compromised credentials, contextual misuse, and behavioral anomalies.

The Rise of Non-Human Identities

Explore how AI agents, automation tools, APIs, and service accounts are creating a rapidly expanding attack surface.

The Physical Security Blind Spot

See why traditional cybersecurity controls fail to address real-world exposure risks in distributed and remote work environments.

The Shift to AI-Native Security

Learn how organizations are moving from reactive detection models toward predictive, contextual, and autonomous security systems.

Key Findings

$4.44 Million

Average global cost of a data breach.

300+ Days

Average time organizations take to detect a breach.

16%

Of breaches now involve attackers leveraging AI.

45:1

Non-human identities can outnumber human users in modern enterprises.

72%

Of people admit to viewing someone else’s screen in public spaces.

$1.9 Million

Average reduction in breach costs for organizations extensively using AI in security operations.