Aembit and Netskope have announced a partnership to deliver integrated security for agentic ai environments, targeting the growing need for identity, access, and data protection in autonomous systems [1]. This move addresses a critical gap as enterprises accelerate adoption of agentic ai, with security and data privacy cited as the top concern by 26% of organizations according to Futurum Group’s 1H 2026 AI Platforms Decision Maker Survey (n=838). The partnership signals a shift toward platform-validated security architectures for agentic ai, challenging both legacy and niche cybersecurity vendors.
What is Covered in this Article
- Aembit and Netskope’s integrated approach to agentic AI security
- Enterprise security gaps in AI agent identity and access management
- Competitive dynamics among security vendors in the AI era
- Risks and requirements for securing autonomous AI workflows
The News
Aembit and Netskope have joined forces to deliver a unified security solution for agentic AI, combining Aembit’s identity-centric access controls with Netskope’s cloud-native security platform [1]. The partnership aims to secure autonomous AI agents as they interact with data, applications, and APIs—an area where traditional security tools often fall short. As AI agents proliferate in enterprise environments, the risk of unauthorized access and data leakage increases. According to Futurum Group’s 1H 2026 AI Platforms Decision Maker Survey (n=838), 65% of organizations are researching, piloting, or deploying agentic AI, and security/data privacy is their top concern. The Aembit-Netskope alliance targets this pain point by promising granular, policy-based controls for both human and non-human identities.
Analyst Take
The Aembit-Netskope partnership is a direct response to the structural blind spots in securing agentic AI. As enterprises shift from pilot projects to scaled AI deployments, the lack of mature identity and access management for autonomous agents is becoming a critical vulnerability.
Agentic AI Breaks Traditional Security Models for Enterprise Deployments
Legacy security architectures were built for human-centric workflows, not autonomous agents making API calls at scale. According to Futurum Group’s 1H 2026 AI Platforms Decision Maker Survey (n=838), 65% of organizations are already exploring agentic AI, yet 26% cite security and data privacy as their primary concern. Most endpoint and identity tools still treat non-human actors as afterthoughts, leaving gaps in visibility and control. The Aembit-Netskope partnership aims to fill this gap with integrated identity, access, and data protection. The risk is that enterprises underestimate the complexity of agent-to-agent authentication and policy enforcement, especially as agentic AI moves from isolated use cases to orchestrating critical workflows.
Agentic AI Security Vendor Consolidation or Net Expansion?
The cybersecurity market is in a net-expansion phase, with 43% of organizations planning to add security vendors versus 34.6% consolidating, according to Futurum Group’s 2H 2025 Cybersecurity Decision Maker Survey (n=1,008). Aembit and Netskope are betting that platform-aligned integrations for agentic ai will win over best-of-breed point solutions. However, established players such as Palo Alto Networks, Zscaler, and CrowdStrike are also racing to build AI-native security capabilities for agentic ai environments. The real test will be whether enterprises trust new alliances or default to incumbent vendors with deeper enterprise relationships. Execution risk is high: if integration is shallow or policy management is fragmented, customers will revert to familiar names.
AI Factories, Agentic AI, and the GPU Blind Spot
AI factories introduce a new class of risk: traditional endpoint detection and response tools monitor only CPU and OS activity, leaving GPUs—where agentic ai agents often operate—opaque to security teams. According to Futurum Group’s ‘Do AI Factories Signal a New Mandate for Certified Security?’ (February 2026), organizations are abandoning custom security architectures in favor of validated reference designs such as NVIDIA Enterprise AI Factory. Vendors that fail to certify on these reference architectures risk being locked out of the AI data center. The Aembit-Netskope partnership must demonstrate not just integration, but certification and visibility across both CPU and GPU domains to be credible in the enterprise agentic ai security market.
What to Watch
- Reference Design Adoption: Will Aembit and Netskope secure certification on NVIDIA and Cisco AI factory architectures by year-end?
- Vendor Trust Shift: Will enterprises prioritize integrated AI security alliances over incumbent security vendors in 2026 procurement cycles?
- Agent Identity Standards: Can industry converge on standards for agent-to-agent authentication, or will fragmentation persist?
- GPU Security Visibility: Will security vendors deliver real-time monitoring for GPU-based AI workloads, or does the blind spot widen?
Sources
1. Announcing the Aembit + Netskope Partnership for Agentic AI Security
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