Akamai Guardicore Segmentation Transforms Zero Trust with New AI-Powered Capabilities

Akamai (NASDAQ: AKAM) announced on March 24, 2026 new AI-powered capabilities for Akamai Guardicore Segmentation to accelerate Zero Trust adoption.

Rhea-AI Summary

Akamai (NASDAQ: AKAM) announced on March 24, 2026 new AI-powered capabilities for Akamai Guardicore Segmentation to accelerate Zero Trust adoption. Enhancements include continuous discovery, AI-driven application understanding, proof-driven enforcement, continuous risk containment, and delegated app-owner workflows to speed policy creation and safe enforcement.

The release emphasizes automated policy generation, simulation before enforcement, and runtime assurance for hybrid, cloud, Kubernetes, and AI workloads.

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Details

News Market Reaction – AKAM

On Mar 24, the day this news came out, AKAM closed 0.06% above the previous close.

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Key Figures

Segmentation projects analyzed: 500 projects

Segmentation projects analyzed

500 projects

Number of segmentation projects studied to design new capabilities

Previous AI Reports

5 past events · Latest: Mar 17

Same Type 5 events

1. Mar 17

   Security research report

   24h Move

   +0.4%

   State of the Internet report flags APIs as primary AI attack surface.

2. Mar 16

   AI platform launch

   24h Move

   +0.4%

   Launch of AI Grid orchestration across 4,400+ edge locations.

3. Mar 05

   Large AI contract

   24h Move

   -1.9%

   Details on four-year, $200M NVIDIA Blackwell GPU cluster deal.

4. Mar 03

   AI infrastructure buildout

   24h Move

   +4.5%

   Plan to deploy thousands of NVIDIA Blackwell GPUs for global AI platform.

5. Nov 05

   Inference Cloud traction

   24h Move

   +1.4%

   Early traction for Akamai Inference Cloud across multiple AI use cases.

24h Move is the share-price change in the day after each event; other market factors may also have contributed.

Key Terms

zero trust, microsegmentation, ransomware, kubernetes, +1 more

5 terms

zero trust technical

"New enhancements include: Continuous discovery... and stronger foundations for Zero Trust."

Zero trust is a security approach that assumes no one, whether inside or outside an organization, should be automatically trusted. Instead, every access request is carefully verified before being granted, much like checking ID at every door rather than trusting someone just because they are known. For investors, it emphasizes the importance of protecting digital assets and data from potential breaches, reducing overall risk.

microsegmentation technical

"Unlike legacy microsegmentation tools that leave customers guessing..."

Microsegmentation is the practice of dividing a larger group—such as customers, network devices, or data access—into many very small, specific segments based on behavior, risk, or needs. For investors, it matters because it can improve security and efficiency (like locking individual rooms instead of just the front door) and enable more precise marketing or cost control, potentially reducing losses and raising revenue per customer.

ransomware technical

"must reduce lateral movement risk, ransomware, and impact while also meeting..."

Ransomware is malicious software that locks or encrypts a company’s computer files and systems, then demands payment for their release — like a thief changing the locks on a business and asking for a ransom. It matters to investors because attacks can halt operations, trigger large cleanup costs, damage customer trust, lead to regulatory fines or legal claims, and reduce future revenue, all of which can hurt a company’s financial value.

kubernetes technical

"tailored to organizations operating hybrid IT, cloud, Kubernetes, and AI workloads..."

Kubernetes is an open-source system that automates running and managing many pieces of software across groups of computers, like a conductor coordinating musicians so each piece plays at the right time and place. For investors, it matters because companies that use it can deploy updates faster, scale services up or down automatically, and cut infrastructure costs — factors that influence growth, reliability and operating margins.

ai workloads technical

"operating hybrid IT, cloud, Kubernetes, and AI workloads that must reduce lateral..."

AI workloads are the computing tasks and data processing needed to build, train, and run artificial intelligence systems—examples include teaching a model from data, running real‑time predictions, or sorting large datasets. They matter to investors because the size and complexity of these tasks drive demand for specialized chips, cloud services, and software: firms that handle AI workloads more efficiently can scale faster, cut costs, and improve profit potential.

AI-generated analysis. How Rhea-AI works. Not financial advice.

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Latest enhancements enable simpler, faster, and safer segmentation

CAMBRIDGE, Mass., March 24, 2026 (GLOBE NEWSWIRE) -- Akamai (NASDAQ: AKAM) today announced new AI-powered capabilities for Akamai Guardicore Segmentation designed to transform how organizations design and enforce security policies. The solution leverages AI to identify, analyze, and interpret application behavior, then automatically generates accurate, enforcement-ready policies. Organizations can now dramatically speed up segmentation efforts, implement stronger controls with confidence, and remain resilient against rapidly evolving, AI-powered threats.

Modern business environments no longer stand still. Workloads evolve rapidly, and attackers exploit lateral movement faster than security teams can react. Unlike legacy microsegmentation tools that leave customers guessing and afraid to enforce controls, Akamai Guardicore Segmentation’s new features enable ongoing discovery, customer-specific intelligence, proof-driven enforcement, and continuous assurance, so organizations can safely reduce attack surface and sustain measurable risk reduction at scale.

New enhancements include:

• Continuous discovery: Allows for real-time understanding, faster time to visibility, and stronger foundations for Zero Trust.
• AI that understands applications: Automatically discovers application behavior, generates and explains segmentation policies at scale, simulates impact, and validates readiness before enforcement — reducing manual effort and operational risk.
• Proof-driven enforcement: Greatly reduces the attack surface and increases the ability to scale Zero Trust without adding head count.
• Continuous risk containment: Deep analysis correlates exposure-aware detection with segmentation enforcement, enabling organizations to reduce blast radius by feeding AI-generated insights directly into policy actions.
• Delegated, application-owner workflows: Engages application owners directly through the App Owner Portal to accelerate approvals, reduce friction, and operationalize Zero Trust at enterprise scale.
  
  

“We analyzed more than 500 segmentation projects to pinpoint common bottlenecks and identify what drives success across technology, processes, and human behavior,” said Ofer Wolf, Senior Vice President and General Manager of Enterprise Security with Akamai. “Those insights guided the development of these enhancements to Akamai Guardicore Segmentation that apply AI-powered segmentation throughout the entire risk containment lifecycle — from continuous discovery and intelligent insight to runtime assurance, exposure analysis, and rapid response.”

Akamai Guardicore Segmentation is tailored to organizations operating hybrid IT, cloud, Kubernetes, and AI workloads that must reduce lateral movement risk, ransomware, and impact while also meeting increasing audit, compliance, and data sovereignty requirements.

To learn more about this product, please visit our Akamai Guardicore Segmentation page or stop by Akamai’s booth N-6245 at this year’s RSA Conference.

About Akamai

Akamai is the cybersecurity and cloud computing company that powers and protects business online. Our market-leading security solutions, superior threat intelligence, and global operations team provide defense in depth to safeguard enterprise data and applications everywhere. Akamai’s full-stack cloud computing solutions deliver performance and affordability on the world’s most distributed platform. Global enterprises trust Akamai to provide the industry-leading reliability, scale, and expertise they need to grow their business with confidence. Learn more at akamai.com and akamai.com/blog, or follow Akamai Technologies on X and LinkedIn.

Contacts
Akamai Media Relations
akamaipr@akamai.com

FAQ

AI-generated questions and answers. How Rhea-AI works. Not financial advice.

What new AI features did Akamai (AKAM) announce for Guardicore Segmentation on March 24, 2026?

Akamai announced AI-driven capabilities that auto-generate and validate enforcement-ready segmentation policies. According to Akamai, features include continuous discovery, AI application understanding, simulation before enforcement, proof-driven enforcement, and delegated app-owner approval workflows to speed Zero Trust.

How does the March 24, 2026 Guardicore update improve segmentation deployment for AKAM customers?

The update reduces manual effort and operational risk by automating discovery, policy generation, and impact simulation. According to Akamai, customers can simulate policy effects and validate readiness before enforcement, enabling faster, safer segmentation at enterprise scale.

Will Akamai Guardicore Segmentation’s new features help reduce lateral movement and ransomware risk for AKAM clients?

Yes — the enhancements aim to shrink attack surface and contain risk through AI-informed policies and exposure-aware enforcement. According to Akamai, continuous risk containment correlates detection with segmentation to reduce blast radius and sustain measurable risk reduction.

Which environments are targeted by Akamai’s Guardicore Segmentation enhancements announced March 24, 2026?

The enhancements target hybrid IT, cloud, Kubernetes, and AI workloads that require Zero Trust segmentation. According to Akamai, the product is tailored to organizations seeking reduced lateral movement risk, compliance support, and improved runtime assurance.

How do delegated app-owner workflows in Akamai Guardicore Segmentation affect operational approval times for AKAM customers?

Delegated workflows are designed to speed approvals by engaging application owners directly through an App Owner Portal. According to Akamai, this reduces friction and operational bottlenecks, helping operationalize Zero Trust across large, distributed environments.