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The Evolving Landscape of Attack Exposure Management

Introduction
In an era where artificial intelligence (AI) is reshaping almost every industry, Vectra AI has released its insightful 2026 State of Threat Exposure Management Report. This comprehensive report addresses the paradigm shift that modern enterprises must navigate in managing security threats amidst rapidly evolving environments driven by AI technology.

Key Findings
Vectra AI's research, grounded in anonymized telemetry from a diverse range of enterprise settings, highlights several critical observations:

1. Dynamic Environment Risks
The report notes that traditional exposure management strategies are becoming increasingly insufficient. With the inclusion of AI agents, unmanaged devices, and cloud services, many enterprises are witnessing a dynamic environment where 98% of their systems feature at least one vulnerability that could be exploited by attackers. Such findings underline the urgent necessity for continuous visibility into the operational landscape, including how various systems and identities interact.

2. Emergence of AI Agents
As AI applications proliferate, the report reveals a startling statistic: environments are outnumbered by AI agents, with some setups exhibiting as many as 96 AI agents associated with a single device. This trend stresses the importance of recognizing non-human identities as active participants in enterprise processes, raising the stakes for security teams who must now adapt their strategies to include these agents.

3. Unmanaged Assets
A staggering 30% of enterprise devices are unmanaged due to the challenges associated with deploying endpoint agents. Consequently, these unmanaged assets create blind spots, rendering security frameworks less effective against malicious activities.

4. Widespread Vulnerabilities
Despite advancements in security technologies, the prevalence of exploitable exposure conditions remains alarming. The report shows that 63% of organizations display weaknesses across multiple risk themes, including outdated cryptographic practices and credential exposure, and many crucial systems are still operating with deprecated protocols.

The Need for Evolving Strategies
Mark Wojtasiak, SVP of Market Research and Strategy at Vectra AI, emphasizes that the landscape is no longer defined merely by identifying vulnerabilities. Instead, organizations must engage in a continuous process of understanding asset interactions, identities, and the new dynamics introduced by AI. This ongoing assessment will allow security teams to mitigate risks effectively before they escalate into serious incidents.

Conclusions and Recommendations
As the enterprise sector adapts to the influence of AI, the report calls for a fundamental evolution in threat exposure management approaches. Key recommendations include:

• - Implement continuous monitoring of both managed and unmanaged assets to reveal hidden vulnerabilities.
• - Develop a comprehensive understanding of how AI agents and non-human identities affect the security landscape.
• - Integrate newer technologies and dynamic security frameworks to replace traditional static assessments.

These findings underscore the real-time challenges faced by organizations today. By fostering an adaptable approach to security management, businesses can better shield themselves against the evolving threat landscape. For those interested in further details, the full 2026 State of Threat Exposure Management Report is available for download at Vectra AI's official website.

About Vectra AI
Vectra AI holds the leading position in AI-native security, offering insights necessary for organizations to protect themselves in an era dominated by artificial intelligence. With a decade of innovation and a strong record of securing enterprises, Vectra AI is committed to enhancing security frameworks to address the new normal in threat exposure management.