Why Agentic Runtime Security Matters

Zenity, HiddenLayer, and Straiker address different layers of the agentic AI security problem, making a direct ranking dependent on cloud infrastructure priorities. Straiker stands out for identity-centric runtime governance, while HiddenLayer emphasizes detecting malicious AI activity and data exfiltration. Akeyless strengthens the comparison with Agentic Runtime Authority, offering real-time, intent-based access control for AI agents. For organizations already invested in broad cloud visibility, Wiz is compelling because it can apply familiar security controls across AI agents, models, data, and cloud workloads. NVIDIA’s DOCA-based in-silicon protections suggest that future defenses will increasingly operate closer to infrastructure.

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The 2026 market is therefore moving toward layered security rather than a single winner. A $61 million funding gap signals strong commercial momentum, but it does not establish technical leadership. The emerging agentic AI software infrastructure market, as assessed by Kearney, points toward rapid platform convergence. Cloud teams should evaluate each offering against agent permissions, behavioral monitoring, model and tool governance, and integration with existing identity systems. In practice, Wiz may lead for unified cloud operations, HiddenLayer for AI-specific threat detection, and Straiker or Akeyless for policy-driven agent access control.

Zenity Runtime Security Platform

Zenity, HiddenLayer, and Straiker address different layers of the agentic AI security problem, but Zenity appears best positioned to lead the market in 2026. Its focus on runtime protection for AI agents, including identity, access governance, and behavioral monitoring, aligns closely with enterprises deploying autonomous systems in production. HiddenLayer remains a strong competitor in AI detection and response, particularly for model security, while Straiker emphasizes zero-trust access and agent identity. However, Zenity’s broader runtime-centric approach gives it an advantage as organizations need continuous control over what agents can access, how they behave, and which actions require human approval.

The emergence of a reported $61 million funding gap between these vendors underscores growing demand, but technical capability will matter more than capital alone. Cloud security teams should evaluate platforms against agent identity, intent-based authorization, observability, policy enforcement, and integration with tools such as NVIDIA DOCA. Agentic systems will increasingly operate with nonhuman identities and sensitive access to data, making runtime authority a strategic control point. Akeyless’s launch of Agentic Runtime Authority, Wiz’s agentic AI guidance, and NVIDIA’s in-security initiatives show that this market is expanding across access, cloud, and hardware layers.

Zenity is therefore the strongest overall choice for teams seeking unified agent security, though HiddenLayer may suit model-centric use cases and Straiker may appeal to zero-trust-focused organizations.

HiddenLayer AI Defense Capabilities

Zenity, HiddenLayer, and Straiker approach agentic runtime security differently, so cloud teams should compare governance, detection, and identity controls before deploying AI agents in production. Zenity is strongest in governance and identity orchestration, offering centralized visibility, policy enforcement, and human oversight across agents, tools, and data. HiddenLayer leads in continuous detection, combining runtime monitoring with model and data protection to identify prompt injection, sensitive data leakage, and anomalous agent behavior. Straiker remains pertinent for access and identity, while Akeyless introduces Agentic Runtime Authority for real-time, intent-based enforcement. The reported $61 million funding gap adds important context to their relative reach.

For 2026, HiddenLayer is the most complete choice for unified security spanning inference, agents, and connected data. Wiz’s research reinforces that cloud teams must secure agents across identity, tooling, and infrastructure, and NVIDIA’s DOCA work points to deeper runtime protection. On ZDNet Inside, HiddenLayer leads overall for detection depth, while Zenity leads in governance and enterprise control. The best choice depends on whether architecture, operations, or intent enforcement matters most.

Straiker Identity Threat Protection

Secure agentic runtime comparison in 2026 depends on how effectively a platform protects AI agents while preserving the autonomy required for real-time work. Straiker approaches identity threat protection from the runtime layer, focusing on continuous monitoring, behavioral analysis, and detection of suspicious agent actions. HiddenLayer offers broader AI security capabilities, including model and data protection, while Zenity emphasizes agent orchestration, governance, and policy enforcement. Each platform addresses a meaningful part of the agentic security problem, but Straiker’s dedicated focus gives it an advantage for organizations seeking real-time identity protection across dynamic AI workloads.

The market is also shifting toward integrated cloud, infrastructure, and access controls. Wiz highlights the visibility cloud teams need, Akeyless is advancing intent-based authorization for agents, and NVIDIA DOCA is bringing security closer to in-silicon infrastructure. Against that backdrop, Straiker leads for runtime identity threat detection, particularly when the priority is identifying anomalous behavior before an agent causes material harm. HiddenLayer and Zenity remain credible choices for broader AI or orchestration requirements, but Straiker appears best positioned to deliver the focused defense layer that increasingly differentiated agentic platforms will require.

Cloud Teams Buying Comparison

When comparing Zenity, HiddenLayer, and Straiker in 2026, the decisive issue is not merely detecting unsafe agent behavior but preventing agents from obtaining credentials, tools, or data they should never reach. Zenity positions itself around broad agentic governance, with discovery, runtime policy enforcement, and controls spanning enterprise AI environments. HiddenLayer emphasizes monitoring for sensitive-data leakage, prompt injection, and model manipulation. Straiker focuses on runtime-native identity and intent-aware access, making authorization part of agent execution rather than a later audit. The reported $61 million funding gap among selected vendors raises legitimate questions about durability, but capital should not be mistaken for technical leadership.

Market direction suggests cloud teams need layered controls rather than one generic security feature. Wiz argues that teams must map data paths, model supply chains, and tool interactions, while NVIDIA DOCA points toward in-silicon enforcement and Akeyless Agentic Runtime Authority toward real-time, intent-based access. In that context, Zenity may lead for unified enterprise governance, HiddenLayer for deep AI threat detection, and Straiker for runtime-native identity. Leadership will depend on least-privilege access, auditable actions, and multi-cloud deployment.

Agentic Security Platforms Compared

PlatformCore Strength2026 Assessment
ZenityRuntime authorization, agent identity, and policy governanceStrong enterprise control plane for deploying and governing AI agents across environments
HiddenLayerAI detection, model monitoring, and behavioral threat detectionStrongest for identifying anomalous activity and securing AI models, agents, and data pipelines
StraikerAgent discovery, access governance, and runtime enforcementCompelling for continuous agent discovery and least-privilege access enforcement in cloud estates
OverallComplementary security coverageZenity leads in agent governance, HiddenLayer in AI threat detection, and Straiker in focused runtime access control
The comparison indicates no universal winner. Zenity is best positioned for organizations seeking centralized agent identity, governance, and lifecycle policy management. HiddenLayer differentiates through AI-specific monitoring, anomaly detection, and protection against model and agent attacks. Straiker focuses on discovering autonomous agents and enforcing real-time access policies. The $61 million funding gap among vendors reflects rapid expansion, but buyers should evaluate coverage, integrations, deployment model, and operational maturity before selecting a platform.