July 7, 2026
Posted by Suresh Sathyamurthy
The Security Problem We Keep Solving the Wrong Way
Most security teams know static credentials are dangerous. Developers know API keys should not be hardcoded. Cloud architects understand the risks of long-lived service accounts. Security leaders have invested heavily in vaults, secret scanners, rotation tools, PAM platforms, and governance programs designed to reduce credential exposure.
Yet credential-related breaches continue to dominate headlines, and Akeyless' own 2026 State of AI Agent Identity Security report, based on a survey of 400 IT and security leaders, reveals why: only 7% of organizations believe their current controls would actually prevent a compromised agent from operating. The reason is surprisingly simple. Most organizations still treat identity security as a credential management problem when it has become an operational control problem. The question is no longer whether credentials are stolen, it's whether anything meaningful can stop what happens next.
The rise of cloud-native infrastructure, machine identities, and now autonomous AI agents has fundamentally changed the nature of access. Systems no longer authenticate once and remain idle. They continuously interact with infrastructure, data stores, APIs, SaaS platforms, and production environments at machine speed.
In this world, simply protecting credentials is no longer enough. Organizations need to control not only who or what receives access, but also what happens after access is granted.
That shift is driving the emergence of three foundational security principles:
- Dynamic Ephemeral Identity
- Zero Standing Privilege (ZSP)
- Runtime Authority
Together, they represent a new model for securing machines, workloads, humans, and AI agents operating in modern enterprise environments.
Why Static Access Is Failing
Traditional access models were designed around persistence. A user receives permissions. A service account receives credentials. An application receives an API key. The access remains available whether it is actively needed or not.
The result is a growing attack surface built on dormant permissions, forgotten service accounts, overprivileged identities, and credentials scattered across code repositories, CI/CD pipelines, containers, SaaS applications, and cloud environments.
Industry data consistently shows that compromised identities remain one of the leading causes of security incidents. Research cited by Akeyless highlights that machine identities now outnumber human identities by more than 140 to 1, while compromised non-human identities are involved in a significant percentage of modern breaches.
Real-World Attacks Show Why Standing Access Is Becoming the Weakest Link
Recent breaches reveal a common pattern: attackers increasingly exploit trusted identities, OAuth permissions, service accounts, and long-lived credentials rather than breaking through traditional defenses.
In 2026, Vercel disclosed a breach involving a third-party AI tool that had broad OAuth permissions into an employee's Google Workspace environment. After the vendor was compromised, attackers leveraged those permissions to access internal resources and sensitive information.
Other recent incidents tell a similar story:
Coinbase: Trusted Access Became the Attack Path
In 2026, Coinbase disclosed a major breach after attackers bribed overseas support contractors and abused their access to internal customer-support systems. The incident demonstrated how trusted operational identities can become a critical attack vector.
This is the standing access problem in its simplest form: trusted identities with persistent permissions, sitting available until someone decides to abuse them. ZSP eliminates the window entirely.
1.5 Million AI Agent Keys Exposed
In 2026, researchers uncovered more than 1.5 million exposed AI agent and MCP-related credentials, highlighting how rapidly growing AI ecosystems are creating a new generation of poorly governed machine identities.
This is what AI-era standing privilege looks like in practice, credentials that exist long after they are needed, with no scoping, no expiry, and no control over what they can reach.
OAuth Tokens Continue to Drive Breaches
Multiple incidents throughout late 2025 and 2026 showed how attackers increasingly target third-party SaaS and AI integrations. Once a trusted application is compromised, attackers often inherit its existing permissions to corporate systems without needing passwords or exploits.
The common thread across these incidents is not malware or sophisticated exploits. It is standing access.
Long-lived credentials, persistent permissions, and overprivileged identities create opportunities that attackers increasingly exploit. This is why organizations are increasingly adopting Zero Standing Privilege (ZSP), Just-in-Time access, and ephemeral identity models that eliminate dormant access before it can be abused.
Dynamic Ephemeral Identity Changes the Equation
The industry's first major response to this challenge has been the move toward dynamic, short-lived credentials. Rather than distributing long-lived secrets, systems authenticate using workload identity, platform identity, certificates, cloud-native attestation, or federated trust mechanisms.
Access is then generated dynamically at runtime. A database credential may exist for only minutes. A cloud token may exist only for the duration of a workload. A Kubernetes workload may receive identity only while its pod is active. The credential becomes temporary. The identity becomes authoritative.
This approach dramatically reduces risk because attackers can no longer rely on harvesting credentials that remain valid for months or years.
The security model shifts from: "I possess a secret" to "I can prove who I am." This is a major improvement. But it is only the first step.
The AI Era Introduces a New Problem
The arrival of autonomous AI agents changes the challenge again. Unlike traditional workloads, AI agents do not execute predefined workflows. They reason. They adapt. They chain actions together. They interpret instructions. They increasingly operate across multiple systems without direct human involvement.
An AI agent may:
- Query a database
- Access a CRM
- Update cloud infrastructure
- Trigger a workflow
- Modify records
- Interact with customer systems
– all within a single task execution.
Giving such systems static credentials is obviously dangerous. But even ephemeral credentials do not fully solve the problem. An agent can still misuse valid permissions. It can be prompt-injected. It can behave unexpectedly. It can make decisions that technically comply with access controls but violate operational intent.
This introduces a new question: How do you govern actions after authentication succeeds?
From Identity to Runtime Authority
Traditional IAM systems make decisions at the beginning of a session. Authentication occurs. Authorization occurs. Logging occurs afterward. That model assumes the primary risk exists before access is granted.
Modern autonomous systems prove otherwise. Many of the most significant risks now emerge during execution. This is where Runtime Authority enters the picture.
Runtime Authority extends identity security into active runtime operations. Instead of validating only whether an entity can enter a system, Runtime Authority continuously evaluates what that entity is attempting to do while operating.
The distinction is critical. Authentication answers: "Should this entity enter?" Runtime Authority answers: "Should this action happen right now?"
Consider a practical example. An AI agent is tasked with generating a quarterly sales report. It authenticates successfully. Without Runtime Authority, that agent may hold standing read and write permissions to the underlying database, enough to execute a destructive query if prompt-injected or misdirected. With Runtime Authority, Akeyless intercepts every request, evaluates semantic intent, issues scoped just-in-time authority, and inspects activity in real time to block actions that exceed approved intent. Authentication succeeded. The destructive action did not.
This creates a fundamentally different security model for AI agents, machine identities, privileged users, and automation systems.
Zero Standing Privilege: Eliminating Access Before It Exists
At the core of this evolution is Zero Standing Privilege. Zero Standing Privilege is based on a simple principle: No identity should possess permanent access.
Instead:
- Access is created only when required
- Permissions are scoped to a specific task
- Access automatically expires
- Privileges disappear immediately after use
Just-in-Time access becomes the operational mechanism that enables ZSP.
This significantly reduces attack surface because attackers cannot compromise permissions that do not exist.
For AI agents, the impact is even greater.
Rather than assigning broad service accounts to autonomous systems, permissions can be dynamically generated for a specific operation, bounded by policy, and revoked automatically once the action completes.
Identity becomes temporary. Authority becomes contextual. Trust becomes continuously verified.
Runtime Authority for Autonomous AI Agents
The next challenge is ensuring that AI agents cannot exceed their intended purpose.
Akeyless approaches this through a Runtime Authority architecture built around three core principles:
Zero Credentials on the Agent
Agents never possess secrets, passwords, API keys, or tokens. Credentials are generated only when needed and injected into brokered sessions. The agent never sees them. Even if the agent is compromised, there are no secrets available to steal.
Zero Direct Connectivity
Agents do not communicate directly with production systems. Every interaction passes through the Akeyless Gateway. This creates a mandatory enforcement point where security policies can be applied consistently before actions reach sensitive infrastructure.
Intent-Aware Runtime Enforcement
Traditional authorization evaluates permissions. Runtime Authority evaluates intent.
An agent instructed to analyze sales data should not be allowed to execute destructive database operations.
By inspecting requests before credentials are issued, organizations gain the ability to enforce action-level controls rather than relying solely on role-based permissions.
This transforms AI security from passive monitoring into active governance.
Why Platformization Matters
Identity security is becoming increasingly fragmented.
Organizations often operate:
- Multiple vaults
- Multiple cloud secret managers
- Separate PAM solutions
- Separate certificate platforms
- Separate KMS systems
- Separate AI security tools
Each solves part of the problem. Few address the full identity lifecycle.
Modern enterprises require a unified identity control plane capable of securing:
- Human identities
- Machine identities
- Workloads
- Certificates
- Encryption keys
- Secrets
- AI agents
- Runtime activity
This is where platformization becomes critical.
Rather than treating secrets management, machine identity, PAM, certificate lifecycle management, encryption, and AI governance as separate disciplines, organizations increasingly need a single architecture capable of governing all identity interactions across runtime environments.
The future is not another standalone tool. The future is an identity security platform.
The Importance of Containerized Runtime Enforcement
Modern enterprises are built around containers, Kubernetes, cloud workloads, serverless functions, APIs, and ephemeral infrastructure.
Security controls must operate where workloads actually run.
This is why lightweight runtime gateways and containerized enforcement points are becoming essential.
Akeyless deploys runtime gateways close to production environments, enabling:
- Dynamic secret issuance
- Identity federation
- Runtime policy enforcement
- Access brokering
- Local resiliency
- Low-latency operations
without requiring organizations to redesign existing infrastructure.
This architecture allows security to move at the same speed as modern cloud-native systems.
Real Organizations, Real Results
The move toward Zero Standing Privilege is no longer theoretical.
Organizations are already implementing these models across highly regulated and large-scale environments.
Global Cross-Border E-Commerce Platform
A global e-commerce software provider supporting international payment operations deployed a Zero Standing Privilege architecture based on dynamic credential issuance.
Every session receives unique credentials that are automatically revoked after use.
The organization eliminated static secrets from critical payment workflows while improving auditability and reducing operational risk across multi-cloud environments.
Global Pharmaceutical Manufacturer
A multinational pharmaceutical company integrated Zero Standing Privilege workflows with Azure Privileged Identity Management to secure sensitive research and manufacturing systems.
Administrative privileges are activated only when required and removed immediately afterward.
The approach supports strict compliance requirements while maintaining operational flexibility across cloud and legacy environments.
North American AI Startup
An emerging AI-powered services company adopted Zero Standing Privilege principles from day one.
Rather than embedding credentials into CI/CD pipelines or agent workflows, every access request generates temporary credentials that expire automatically.
Even in the event of a CI platform compromise, no reusable credentials remain available to attackers.
These organizations are part of a broader shift already underway at scale. Akeyless secures over 220 billion machine identity interactions, trusted by Fortune 500 organizations across retail, financial services, healthcare, and pharmaceuticals. The pattern across deployments is consistent: eliminating standing access reduces the blast radius of any individual compromise, whether the vector is a bribed contractor, an exposed AI agent credential, or an overprivileged service account.
The Future: Continuous Authority Over Autonomous Systems
The enterprise security model is undergoing a fundamental transformation. For decades, security focused on authentication and authorization. The assumption was that if you controlled access, you controlled risk. That assumption no longer holds.
Machines now outnumber humans. AI agents increasingly perform operational tasks. Cloud environments change continuously. Runtime decisions occur faster than humans can observe them.
The next era of security requires more than identity verification. It requires continuous authority over runtime actions.
Dynamic ephemeral credentials provide the foundation. Zero Standing Privilege removes persistent access. Runtime Authority governs what happens after access is granted.
Together, they form the security architecture required for the autonomous enterprise.
Because in a world where AI agents, workloads, and machines operate at machine speed, security can no longer stop at authentication.
It must extend into every action that follows.
To see the full data behind the AI agent identity security gap, including detection times, breach costs, and how organizations are responding, download the 2026 State of AI Agent Identity Security report. Or, to see Runtime Authority and Zero Standing Privilege in action across your own environment, request a demo.
