Aembit and Netskope have formed a strategic alliance to tackle agentic ai security, aiming to set new standards for protecting AI-driven workflows [1]. As agentic ai adoption accelerates, this partnership signals a shift toward integrated identity, access, and data protection. According to Futurum Group’s 2H 2025 Cybersecurity Decision Maker Survey (n=1,008), 62.1% agree AI-powered defensive tools are now a necessity, and 65% are piloting or deploying agentic ai—security is the top concern.
What is Covered in this Article
- Aembit and Netskope’s alliance for agentic AI security
- The rise of agentic AI and its security implications
- Competitive positioning against CrowdStrike, Zscaler, and Palo Alto Networks
- Structural execution risks in agentic AI defense
The News
Aembit and Netskope have announced a partnership to address the growing need for security in agentic AI environments [1]. Their alliance combines Aembit’s identity-centric approach with Netskope’s cloud-native security stack, aiming to secure machine-to-machine (M2M) and agent-to-agent (A2A) interactions that traditional tools often miss. This move targets a blind spot as enterprises shift from human-driven to AI-driven workflows, where agents initiate actions, access sensitive data, and orchestrate business processes. With 65% of organizations researching, piloting, or deploying agentic AI and 26% citing security as the top concern, the stakes are high for solutions that can address both visibility and control. According to Futurum Group’s 2H 2025 Cybersecurity Decision Maker Survey (n=1,008), 62.1% agree AI-powered defensive tools are now a necessity.
Analyst Take
The Aembit-Netskope alliance is a direct response to the market’s pivot toward agentic AI, where traditional identity and endpoint security controls are no longer sufficient. As AI agents become operational actors, the attack surface expands and new forms of privilege escalation and lateral movement emerge.
Agentic AI Forces a Security Model Rethink for agentic ai Deployments
Agentic AI shifts the security paradigm from human-to-app to agent-to-agent and machine-to-machine. Most legacy tools focus on user credentials and endpoints, but AI agents operate autonomously, making decisions and accessing resources at machine speed. This creates a ‘GPU Blind Spot’ where traditional EDR tools lack visibility, as noted in Futurum Group’s ‘Do AI Factories Signal a New Mandate for Certified Security?’ (February 2026). Aembit and Netskope’s integration aims to close this gap by tying identity, access, and data security directly to agentic workflows. According to Futurum Group’s 2H 2025 Cybersecurity Decision Maker Survey (n=1,008), 62.1% agree AI-powered defensive tools are now a necessity, and 65% are piloting or deploying agentic AI, with security as the top concern.
Execution Risk: Can agentic ai Integration Outpace Attackers?
Integrating identity, access, and data protection is complex, especially as AI agents proliferate across cloud environments. Vendors such as CrowdStrike, Zscaler, and Palo Alto Networks are racing to adapt, but most still anchor on human-centric controls. Aembit and Netskope must prove their alliance delivers real-time, policy-driven enforcement at the agent level without creating operational drag or false positives. Futurum’s Cybersecurity Decision Maker Survey (n=1,008, 2H 2025) found 82.3% of organizations experienced at least one significant security incident in the past year. The challenge is not just coverage, but actionable detection and response that keeps pace with autonomous agents.
Will Reference Architectures Decide Who Wins in agentic ai Markets?
Organizations are abandoning custom architectures in favor of validated reference designs such as NVIDIA Enterprise AI Factory and Cisco Secure AI Factory, according to Futurum Group’s ‘Do AI Factories Signal a New Mandate for Certified Security?’ (February 2026). Vendors that fail to certify on these architectures risk being locked out of the AI data center. The Aembit-Netskope alliance could gain an edge if it moves quickly to certify on NVIDIA’s BlueField DPU reference stack for agentic ai deployments. Ultimately, the winners will be those who can offer certified, plug-and-play security for agentic ai—complexity and integration speed will be decisive.
What to Watch
- Reference Stack Race: Will Aembit and Netskope certify on NVIDIA and Cisco AI Factory architectures by year-end?
- Operational Drag: Can integrated agentic AI security avoid slowing down business processes or creating excessive false positives?
- Competitive Response: How quickly will CrowdStrike, Zscaler, and Palo Alto Networks adapt their platforms for agentic AI environments?
- Adoption Tipping Point: Will 2026 see agentic AI security become a top-three buying criterion in enterprise RFPs?
Sources
1. Will Aembit and Netskope’s Alliance Set the Standard for Agentic AI Security?
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