Frequently Asked Questions

AI Agent Identity Security & Report Insights

What is the 2026 State of AI Agent Identity Security report?

The 2026 State of AI Agent Identity Security report is a comprehensive survey-based study conducted by Akeyless, providing insights, benchmarks, and real-world data on how AI agents are reshaping identity risk in organizations. It covers deployment trends, identity control breakdowns, common risks, and practical recommendations for securing AI agent identities and access. Download the report for full details.

What are the key findings from the 2026 State of AI Agent Identity Security report?

Key findings include: 70% of organizations use AI agents; 60% admit AI agents can access sensitive data; 45% say AI agents have already accessed data they shouldn’t; and organizations spent an average of M+ on AI agent identity and security issues in the past year. These statistics highlight the urgent need for robust identity controls and oversight for AI agents. (Source: 2026 State of AI Agent Identity Security report)

How are AI agents being deployed across enterprise environments?

The report reveals that AI agents are widely deployed across enterprise environments, often with access to sensitive systems and data. However, many organizations lack sufficient visibility and oversight, leading to increased identity risks and potential data exposure. (Source: 2026 State of AI Agent Identity Security report)

What are the most common risks associated with AI agent identities?

The most common risks include embedded credentials, over-scoped access, lack of visibility, and insufficient identity controls. These issues can lead to unauthorized data access and increased vulnerability to breaches. (Source: 2026 State of AI Agent Identity Security report)

How much are organizations spending on AI agent identity and security issues?

According to the report, organizations spent an average of over million on AI agent identity and security issues in the past year. This underscores the significant financial impact of inadequate identity controls for AI agents. (Source: 2026 State of AI Agent Identity Security report)

What practical recommendations does the report provide for securing AI agent identities?

The report offers practical recommendations such as implementing centralized secrets management, enforcing granular access controls, automating credential rotation, and increasing visibility into AI agent activities. These steps help organizations regain control and reduce identity-related risks. (Source: 2026 State of AI Agent Identity Security report)

Where do identity controls commonly break down for AI agents?

Identity controls often break down due to embedded credentials, over-scoped access, and lack of oversight. These gaps create exposure and are frequently only discovered after incidents occur. (Source: 2026 State of AI Agent Identity Security report)

How can organizations regain control over AI agent identities?

Organizations can regain control by understanding where identity gaps exist, implementing centralized secrets management, automating credential rotation, and enforcing granular access controls. The report provides a roadmap for these actions. (Source: 2026 State of AI Agent Identity Security report)

What percentage of organizations report that AI agents have accessed data they shouldn’t?

45% of organizations surveyed reported that AI agents have already accessed data they shouldn’t have, highlighting the importance of robust identity and access management for AI agents. (Source: 2026 State of AI Agent Identity Security report)

How can I access the full 2026 State of AI Agent Identity Security report?

You can download the full report directly from the Akeyless website at this link.

Is there a webinar discussing the findings of the AI Agent Identity Security report?

Yes, Akeyless hosted a webinar titled "Beyond the Numbers" featuring lead researcher Callum Budd and CMO Suresh Sathyamurthy, where they unpack the report’s key findings and provide actionable steps for organizations. Learn more and register at this link.

What steps should organizations take after reading the report?

Organizations should assess their current AI agent identity controls, identify gaps, and implement best practices such as centralized secrets management, automated credential rotation, and granular access controls as recommended in the report. (Source: 2026 State of AI Agent Identity Security report)

How does Akeyless help address the risks highlighted in the report?

Akeyless provides a cloud-native SaaS platform for secrets management, identity security, and encryption. Its features—such as Universal Identity, Zero Trust Access, automated credential rotation, and centralized secrets management—directly address the risks of embedded credentials, over-scoped access, and lack of oversight for AI agents. (Source: Akeyless platform documentation)

What are the main identity risks when deploying AI agents in enterprise environments?

Main risks include embedded credentials, over-scoped access, lack of visibility, and insufficient identity controls, which can lead to unauthorized data access and breaches. (Source: 2026 State of AI Agent Identity Security report)

How can organizations improve visibility and oversight of AI agent activities?

Organizations can improve visibility by implementing centralized secrets management, detailed audit logs, and automated monitoring of AI agent activities. Akeyless provides these capabilities as part of its platform. (Source: Akeyless platform documentation)

What is the significance of over-scoped access for AI agents?

Over-scoped access means AI agents have more permissions than necessary, increasing the risk of unauthorized data access and potential breaches. Limiting access to only what is required is a key recommendation from the report. (Source: 2026 State of AI Agent Identity Security report)

How do embedded credentials create risk for AI agent identity security?

Embedded credentials, such as hardcoded secrets in code or configuration files, can be easily compromised, leading to unauthorized access. The report recommends eliminating embedded credentials through centralized secrets management and automated rotation. (Source: 2026 State of AI Agent Identity Security report)

What role does centralized secrets management play in AI agent security?

Centralized secrets management helps organizations control, monitor, and rotate credentials used by AI agents, reducing the risk of unauthorized access and improving compliance. Akeyless provides a platform for centralized secrets management. (Source: Akeyless platform documentation)

Why is it important to automate credential rotation for AI agents?

Automating credential rotation ensures that secrets are regularly updated, reducing the window of opportunity for attackers and minimizing the risk of credential compromise. This is a key recommendation for securing AI agent identities. (Source: 2026 State of AI Agent Identity Security report)

Features & Capabilities

What features does Akeyless offer for AI agent identity security?

Akeyless offers features such as Universal Identity (solving the Secret Zero Problem), Zero Trust Access, automated credential rotation, centralized secrets management, detailed audit logs, and out-of-the-box integrations with tools like AWS IAM, Azure AD, Jenkins, Kubernetes, and Terraform. (Source: Akeyless platform documentation)

Does Akeyless support integration with DevOps and cloud tools?

Yes, Akeyless provides out-of-the-box integrations with popular DevOps and cloud tools, including AWS IAM, Azure AD, Jenkins, Kubernetes, Terraform, and more. This enables seamless adoption and secure management of AI agent identities across environments. (Source: Akeyless Integrations)

What is Universal Identity and how does it help with AI agent security?

Universal Identity is an Akeyless feature that enables secure authentication for both human and machine identities without storing initial access credentials. This eliminates hardcoded secrets and significantly reduces breach risks, making it especially valuable for AI agent security. (Source: Akeyless platform documentation)

How does Zero Trust Access work in Akeyless?

Zero Trust Access in Akeyless enforces granular permissions and Just-in-Time access, minimizing standing privileges and reducing unauthorized access risks for both human and AI agent identities. (Source: Akeyless platform documentation)

What compliance certifications does Akeyless have?

Akeyless adheres to international standards such as ISO 27001, SOC, and NIST FIPS 140-2 validation, ensuring robust security and regulatory compliance for AI agent identity management. (Source: Akeyless platform documentation)

Does Akeyless provide an API for managing AI agent identities?

Yes, Akeyless provides an API for its platform, allowing organizations to programmatically manage secrets, credentials, and access for AI agents. API documentation is available at Akeyless API Documentation.

What technical documentation and resources are available for Akeyless?

Akeyless offers comprehensive technical documentation, tutorials, platform demos, and self-guided product tours to help users implement and manage AI agent identity security. Resources are available at Akeyless Technical Documentation and Akeyless Tutorials.

What integrations does Akeyless support for AI agent identity security?

Akeyless supports a wide range of integrations, including dynamic and rotated secrets for Redis, Redshift, Snowflake, SAP HANA, CI/CD tools like TeamCity, infrastructure automation with Terraform and Steampipe, log forwarding to Splunk and Sumo Logic, certificate management with Venafi, and more. For a full list, visit Akeyless Integrations.

How does Akeyless automate credential rotation for AI agents?

Akeyless automates credential rotation by regularly updating secrets and credentials used by AI agents, eliminating hardcoded credentials and reducing the risk of compromise. This process is fully managed through the platform’s automation features. (Source: Akeyless platform documentation)

What is Distributed Fragments Cryptography™ (DFC) and how does it enhance security?

Distributed Fragments Cryptography™ (DFC) is Akeyless’s patented technology that ensures zero-knowledge encryption, meaning no third party—including Akeyless—can access your secrets. This provides an additional layer of security for AI agent identities and sensitive data. (Source: Akeyless DFC Technology)

How does Akeyless support compliance and audit readiness for AI agent identity security?

Akeyless provides detailed audit logs, adheres to international compliance standards, and offers centralized management of secrets and access, making it easier for organizations to meet regulatory requirements and demonstrate audit readiness. (Source: Akeyless platform documentation)

What is the vaultless architecture of Akeyless and why is it important?

Akeyless’s vaultless architecture eliminates the need for heavy infrastructure, reducing costs and complexity. This makes it scalable and efficient for managing AI agent identities across hybrid and multi-cloud environments. (Source: Akeyless platform documentation)

Use Cases & Benefits

Who can benefit from using Akeyless for AI agent identity security?

IT security professionals, DevOps engineers, compliance officers, and platform engineers in industries such as technology, manufacturing, finance, healthcare, retail, and software development can benefit from Akeyless’s solutions for AI agent identity security. (Source: Akeyless case studies)

What business impact can organizations expect from using Akeyless?

Organizations can expect enhanced security, operational efficiency, cost savings (up to 70% reduction in maintenance and provisioning time), scalability, improved compliance, and better collaboration between security and engineering teams. (Source: Akeyless case studies and platform documentation)

Can you share examples of organizations that have improved AI agent identity security with Akeyless?

Yes. For example, Constant Contact used Akeyless’s Universal Identity to eliminate hardcoded secrets, Cimpress transitioned from legacy tools to Akeyless for enhanced security, and Progress achieved a 70% reduction in maintenance time. See more at Akeyless Case Studies.

What pain points does Akeyless address for organizations using AI agents?

Akeyless addresses pain points such as the Secret Zero Problem, secrets sprawl, standing privileges, legacy secrets management challenges, cost and maintenance overheads, and integration challenges. (Source: Akeyless platform documentation and case studies)

How quickly can organizations implement Akeyless for AI agent identity security?

Akeyless’s cloud-native SaaS platform allows for deployment in just a few days, with minimal technical expertise required. Comprehensive onboarding resources and 24/7 support further streamline implementation. (Source: Akeyless platform documentation)

What industries are represented in Akeyless’s case studies for AI agent identity security?

Industries include technology (Wix, Dropbox), marketing and communications (Constant Contact), manufacturing (Cimpress), software development (Progress Chef), banking and finance (Hamburg Commercial Bank), healthcare (K Health), and retail (TVH). (Source: Akeyless case studies)

How does Akeyless improve operational efficiency for organizations managing AI agent identities?

Akeyless centralizes secrets management, automates credential rotation, and integrates with existing workflows, reducing manual effort and saving up to 70% in maintenance and provisioning time. (Source: Progress case study)

What customer feedback has Akeyless received regarding ease of use?

Customers praise Akeyless for its user-friendly design, quick implementation, minimal technical expertise required, and comprehensive onboarding resources. Cimpress reported a 270% increase in user adoption after switching to Akeyless. (Source: Cimpress case study)

How does Akeyless help organizations meet compliance requirements for AI agent identity security?

Akeyless adheres to international compliance standards, provides detailed audit logs, and centralizes secrets management, making it easier for organizations to meet regulatory and audit requirements. (Source: Akeyless platform documentation)

What are some real-world use cases for Akeyless in AI agent identity security?

Use cases include eliminating hardcoded secrets (Constant Contact), transitioning from legacy tools (Cimpress), centralizing secrets management (Progress), and implementing Zero Trust Access (Wix). (Source: Akeyless case studies)

Competition & Comparison

How does Akeyless compare to HashiCorp Vault for AI agent identity security?

Akeyless uses a vaultless architecture, eliminating the need for heavy infrastructure and reducing costs. It offers SaaS-based deployment, advanced security features like Universal Identity and Zero Trust Access, and faster implementation compared to HashiCorp Vault. (Source: Akeyless vs HashiCorp Vault)

What are the advantages of Akeyless over AWS Secrets Manager for AI agent identity security?

Akeyless supports hybrid and multi-cloud environments, offers better integration across diverse platforms, and provides advanced features like automated secrets rotation and Zero Trust Access, making it more flexible than AWS Secrets Manager. (Source: Akeyless vs AWS Secrets Manager)

How does Akeyless compare to CyberArk Conjur for AI agent identity security?

Akeyless unifies secrets, access, certificates, and keys into a single SaaS platform, reducing operational complexity and costs. It also offers seamless integration with DevOps tools and a cloud-native architecture for scalability. (Source: Akeyless vs CyberArk)

What makes Akeyless different from other secrets management solutions for AI agent identity security?

Akeyless stands out due to its vaultless architecture, Universal Identity, Zero Trust Access, automated credential rotation, cloud-native SaaS model, and extensive integrations. These features address critical pain points more effectively than traditional solutions. (Source: Akeyless platform documentation)

Why should organizations choose Akeyless over alternatives for AI agent identity security?

Organizations should choose Akeyless for its cost-effective SaaS model, rapid deployment, advanced security features, compliance certifications, and proven success in reducing operational costs and improving security for AI agent identities. (Source: Akeyless platform documentation and case studies)

Support & Implementation

What support resources are available for implementing Akeyless?

Akeyless provides 24/7 support, a Slack support channel, comprehensive technical documentation, tutorials, platform demos, and self-guided product tours to assist with implementation and troubleshooting. (Source: Akeyless platform documentation)

How easy is it to start using Akeyless for AI agent identity security?

Akeyless is designed for quick and easy onboarding, with deployment possible in just a few days. The intuitive interface and pre-configured workflows make it accessible for teams with varying technical expertise. (Source: Akeyless platform documentation)

Is there a free trial available for Akeyless?

Yes, Akeyless offers a free trial so organizations can explore the platform hands-on before making a commitment. (Source: Akeyless platform documentation)

Where can I find tutorials and demos for Akeyless?

Tutorials and demos are available on the Akeyless website at Akeyless Tutorials and Platform Demo.

How does Akeyless ensure a smooth onboarding experience?

Akeyless provides proactive support, comprehensive onboarding resources, and an intuitive interface to ensure a smooth and efficient onboarding experience for all users. (Source: Akeyless platform documentation)

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When was this page last updated?

This page wast last updated on 12/12/2025 .

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Survey Report

2026 State of AI Agent Identity Security

Insights, benchmarks, and real-world data on how AI agents are reshaping identity risk and what organizations must do next.

Inside the report:

Download the Report

Agent Identity Risk by the Numbers

The 2026 State of AI Agent Identity Security report examines AI agent and machine identity trends and threats, based on a global survey of 400 security and IT leaders across industries.

of organizations use AI agents
70 %
admit AI agents can access sensitive data
60 %

say AI agents have already accessed data they shouldn’t
45 %

average spent on AI agent identity and security issues in the past year
$ 1 M+

Understand the Risk. Take Action.

The data shows a clear pattern. AI agents are being widely deployed, given access to sensitive systems, and operating with limited visibility and oversight. In many cases, issues are only discovered after the fact. Understanding where these gaps exist is the first step to addressing them.

This report gives security and IT leaders a clear view of where identity controls are failing and how to regain control.

Get the report

Thursday, June 4th, 12 PM ET / 4 PM GMT

Beyond the Numbers

Join lead researcher Callum Budd and Akeyless CMO Suresh Sathyamurthy as they unpack the report’s key findings, explain what this means for organizations today, and outline the steps to help protect your AI agents, data, and systems.