Agentic AI Workloads: Secure & Scale Across Clouds

Managing Agentic AI Workloads Across Multiple Clouds Demands Secure, High-Speed, and Scalable Infrastructure.

Vast data movement, airtight security, and seamless cloud performance are essential for managing agentic AI workloads at scale. Yet, most organizations lack robust AI security frameworks and the network foundation needed to support these dynamic environments. Without purpose-built solutions, delays, vulnerabilities, and operational complexity can quickly undermine innovation and efficiency—leaving enterprises exposed to risk and unable to fully realize the promise of AI.

Lack of Unified AI Governance Control

“95% of organizations use AI for threat detection, yet 63% lack AI governance policies. Managing AI workloads across clouds is challenging”- IBM Cost of Data Breach 2025

Data Security Risks and Leakage

Threat actors can compromise sensitive AI models and datasets, uncovering threats like exfiltration, poisoning, and unauthorized access.

Agent Autonomy Management Cross-Cloud

Managing AI workloads across multicloud environments is challenging and requires unified control and policy enforcement.

Aviatrix Threat Research Center

144 to 1

The security industry perfected protecting one. The other 144 are on their own.

Human Identity

vs.

144

Machine Identities

97% · have excessive privileges

60% · of containers live <60 seconds

42% · have privileged access

🔐

User-Centric Zero Trust

ZTNA · SASE · EDR · IAM

👤Identity & MFA

SSO, conditional access, behavioral analytics

🌐SASE / Secure Web Gateway

User-to-app traffic inspection

🛡Endpoint Detection

Agent on laptop, not on container

🔑Access Governance

Who can access which application

Protects the user → app path

🔍

Cloud Security Posture

CNAPP · CSPM · CWPP

📋Vulnerability Scanning

Finds CVEs in packages & images

⚙️Misconfiguration Detection

Exposed S3, open ports, IAM risks

🔎Secret Exposure

Finds leaked keys & credentials

📊Compliance Reporting

Posture dashboards & audit trails

Finds the problem · Does not stop it

⬡

Workload-Centric Zero Trust

Distributed Cloud Firewall · CNSF

⬡Distributed Enforcement

Policy at every gateway, every workload

🌍Global IP Blocklist

One rule → every VPC, every region, instantly

📡Egress Governance

Every path the workload can reach

📝Forensic DENY Logs

Which pod, which IP, what time

Governs every workload path · Stops exfiltration

"We have egress filtering" — But does it govern these paths?

User-Centric Stack

✗K8s pod egress via node NAT

✗Serverless function egress

✗East-west between VPCs

✗Instant global policy propagation

CNAPP / Posture Tools

—No egress filtering capability

—No runtime enforcement

—Scan-time detection only

—Alert after the fact

Distributed Cloud Firewall

✓K8s pod egress — enforced at workload

✓Serverless — fabric-level governance

✓East-west — every gateway enforces

✓One policy → universal propagation

User-Centric Zero Trust and Cloud Security Posture are necessary.

The attack model changed. Threats arrive as trusted code, running inside your infrastructure. The only question that matters: can the workload reach the attacker's endpoint? That question is answered by Workload-Centric Zero Trust.

AVIATRIX

Cloud Native Security Fabric

Agentic AI Workload Containment Through Unified Network Enforcement

Contain the Blast Radius Before the Next Zero-Day Lands

Aviatrix enforces Communication Governance at the network layer: default-deny egress, workload-level segmentation, and structural containment that limits damage before an attack completes.

A glimpse into Glasswing Mythos

Blast Radius Reduction
Map what every agentic workload legitimately needs to reach and enforce it at the network layer. Structural limits contain any exploit — known or unknown, patched or unpatched — before an attack completes.
Communication Governance
Every agent operates under default-deny egress. No C2 beacon, no exfiltration endpoint, no lateral movement path — unless explicitly permitted. The network does not cooperate with what has not been authorized.
Containment Architecture
Move from chokepoint inspection to workload-level enforcement across every cloud. Security that works before the CVE is published, before the exploit is built, and before your patch cycle closes.