Netskope Achieves AWS Security Competency Status for AI Security

Rhea-AI Summary

Netskope (NASDAQ: NTSK) achieved AWS Security Competency status for AI Security on March 19, 2026. The designation certifies Netskope meets AWS technical and quality requirements to secure AI workloads, helping customers address risks like shadow AI, non-human traffic, and Model Context Protocol interactions.

Netskope highlights capabilities in network path optimization, data lineage visibility, MCP protection, and AI-powered Universal Zero Trust Network Access via the Netskope One platform.

News Market Reaction – NTSK

+0.21%

8 alerts

+0.21% News Effect

+$7M Valuation Impact

$3.54B Market Cap

0.1x Rel. Volume

On the day this news was published, NTSK gained 0.21%, reflecting a mild positive market reaction. Our momentum scanner triggered 8 alerts that day, indicating moderate trading interest and price volatility. This price movement added approximately $7M to the company's valuation, bringing the market cap to $3.54B at that time.

Data tracked by StockTitan Argus on the day of publication.

Key Figures

GenAI users on personal apps: 47%

1 metrics

GenAI users on personal apps 47% Share of genAI users using personal AI apps per 2026 Cloud and Threat report

Market Reality Check

Price: $8.80 Vol: Volume 4,216,872 is at 0....

normal vol

$8.80 Last Close

Volume Volume 4,216,872 is at 0.86x the 20-day average of 4,899,853, indicating subdued trading ahead of the news. normal

Technical Shares trade well below the 200-day MA, at $9.47 versus a 200-day MA of $17.82, and 66.17% under the 52-week high.

Previous AI Reports

5 past events · Latest: Mar 11 (Positive)

Same Type Pattern 5 events

Date	Event	Sentiment	Move	Catalyst
Mar 11	AI product launch	Positive	+1.0%	Launched Netskope One AI Security suite for end-to-end AI protection.
Mar 03	AI integration	Positive	-2.0%	Integrated Imprivata access management to enhance AI-ready zero trust security.
Feb 25	AI performance launch	Positive	+10.5%	Introduced NewEdge AI Fast Path to optimize secure AI network performance.
Feb 03	AI data security	Positive	-6.5%	Announced Netskope One Data Lineage for AI-ready data visibility and control.
Jan 20	AI research report	Positive	+1.6%	Published research on AI-driven infrastructure demands and security challenges.

Pattern Detected

AI-related announcements have produced mixed stock reactions, with both gains and selloffs despite generally positive, innovation-focused news.

Recent Company History

Over the past few months, Netskope has repeatedly highlighted AI initiatives, including NewEdge AI Fast Path, Netskope One Data Lineage, and broader AI security capabilities. AI-tagged releases produced both positive and negative single-day moves, suggesting investors have not rewarded every AI milestone consistently. Today’s AWS Security Competency for AI Security continues this AI-focused trajectory, reinforcing the company’s positioning around securing AI workloads and data, and complements prior launches like Netskope One AI Security and AI-ready data lineage capabilities.

Historical Comparison

+0.9% avg move · Past AI-tagged announcements saw an average move of 0.9%, spanning research, data lineage, and AI pl...

AI

+0.9%

Average Historical Move AI

Past AI-tagged announcements saw an average move of 0.9%, spanning research, data lineage, and AI platform launches; this AWS AI Security competency fits that ongoing AI security build-out.

AI news has progressed from research on infrastructure strain, to AI-ready data lineage, to performance-focused NewEdge AI Fast Path and unified Netskope One AI Security. The new AWS Security Competency for AI Security extends this path by validating Netskope’s AI security capabilities within the AWS ecosystem.

Market Pulse Summary

This announcement underscores Netskope’s strategy to position itself as a core AI security provider,...

Analysis

This announcement underscores Netskope’s strategy to position itself as a core AI security provider, with AWS Security Competency status for AI Security reinforcing earlier launches like NewEdge AI Fast Path and Netskope One Data Lineage. The news highlights shadow AI risks, with 47% of genAI users reportedly using personal AI apps. Investors tracking this story may focus on how AWS-aligned validation complements recent AI product rollouts and how the stock’s depressed level versus its 52-week high interacts with continued AI execution.

Key Terms

shadow ai, model context protocol (mcp), zero trust network access, least-privilege access, +1 more

5 terms

shadow ai technical

"Shadow AI is just one example of a persistent risk organizations are seeing"

Shadow AI describes employees using artificial intelligence tools or services without formal approval, oversight, or integration into official systems — for example, personal subscriptions, free web apps, or browser add-ons. For investors this matters because these hidden tools can expose sensitive data, create compliance or legal problems, produce unreliable results, and lead to unexpected costs or reputational damage, much like an unapproved gadget in a factory that creates safety and billing surprises.

model context protocol (mcp) technical

"Protecting Model Context Protocol (MCP)-enabled AI interactions. MCP is emerging as a preferred method"

The Model Context Protocol (MCP) is a system that helps financial models understand and share information about market conditions and data. It’s like a common language that ensures different tools and models work together smoothly, making predictions and decisions more accurate and consistent.

zero trust network access technical

"Delivering AI-powered Universal Zero Trust Network Access (UZTNA) through Netskope’s enhanced UZTNA solution."

Zero Trust Network Access (ZTNA) is a security approach that requires every user and device to prove they are allowed to access a specific application or resource each time they connect, rather than trusting them by default because they’re inside a company network. For investors, ZTNA matters because it reduces the risk of costly breaches and regulatory fines, can lower insurance and remediation costs, and signals that a company is proactively protecting sensitive data—factors that influence operational resilience and valuation.

least-privilege access technical

"enforcing least-privilege access, securing sensitive data, and ensuring compliance."

Least-privilege access is the practice of giving users, programs, or devices only the minimum permissions they need to do a specific job and nothing more. For investors, this lowers the risk that a single mistake, hacked account, or rogue application can expose sensitive data or disrupt operations—like giving a houseguest only the key to the living room instead of the whole house, which reduces the chance of costly damage or theft.

aws security competency technical

"it achieved the Amazon Web Services (AWS) Security Competency status for AI Security."

A designation from Amazon Web Services given to partner companies that have demonstrated verified expertise in building and managing secure systems on the AWS cloud. For investors, it acts like a trusted seal that signals validated technical skills and vetted processes, which can lower the risk of security failures, improve a partner’s sales credibility, and support stronger growth or pricing compared with peers without the designation.

AI-generated analysis. Not financial advice.

Netskope’s proven AI security expertise and infrastructure benefit customers transforming their businesses with AI

SANTA CLARA, Calif., March 19, 2026 (GLOBE NEWSWIRE) -- Netskope (NASDAQ: NTSK), a leader in modern security and networking for the cloud and AI era, today announced that it achieved the Amazon Web Services (AWS) Security Competency status for AI Security. Netskope certifiably meets AWS technical and quality requirements to provide AWS customers with leading solutions that secure and protect AI workloads across all AI security use cases.

The rapid adoption of AI is transforming how customers build and use applications, but is also introducing new security risks that require specialized expertise. Shadow AI is just one example of a persistent risk organizations are seeing, as nearly half (47%) of genAI users are using personal AI apps, according to Netskope’s recent 2026 Cloud and Threat report.

The AI Security category in the AWS Security Competency helps customers identify AWS Partners with deep experience securing AI environments to better address these risks, from shadow AI to non-human traffic. Netskope’s deep AWS expertise and ability to deliver solutions seamlessly on AWS helps organizations adopt, develop, and deploy security into their AWS environments, increasing their overall security posture.

Netskope helps customers secure AI workloads with its industry-leading Netskope One platform. Critical AI use cases include:

• Optimizing network paths to critical AI destinations, including AI applications hosted in public, private, or neo-clouds. With NewEdge AI Fast Path capabilities, customers can reduce latency and costs, optimize performance, strengthen resilience, and enable a secure experience for teams.
• Providing visibility and analytics to achieve AI-ready data security with Netskope One Data Lineage. Built upon Netskope’s superior data security controls, Netskope enables teams to track and visualize the movement of sensitive data across their entire organization to confidently advance their AI innovation roadmaps.
• Protecting Model Context Protocol (MCP)-enabled AI interactions. MCP is emerging as a preferred method for connecting AI agents to enterprise resources. Netskope One provides full visibility into MCP tool use, enforcing least-privilege access, securing sensitive data, and ensuring compliance.
• Delivering AI-powered Universal Zero Trust Network Access (UZTNA) through Netskope’s enhanced UZTNA solution. Netskope provides context-aware device intelligence capabilities, offering visibility into all connected devices and streamlining ZTNA management with automated granular policy creation.

“The AWS Security Competency Program for AI Security differentiates providers who demonstrate superior innovation and unlock new value for customers advancing their AI plans,” said John Martin, Chief Product Officer, Netskope. “Netskope has a long and proven track record of success in keeping customer data safe, and this designation is further validation of the breadth and depth of solutions we offer to secure AI workloads.”

AWS is enabling scalable, flexible, and cost-effective solutions from startups to global enterprises. To support the seamless integration and deployment of these solutions, AWS established the AWS Competency Program to help customers identify AWS Partners with deep industry experience and expertise.

To learn more about Netskope’s delivery of security, networking, analytics, and AI services visit here, and visit Netskope in AWS Marketplace here.

About Netskope
Netskope (NASDAQ: NTSK), a leader in modern security and networking for the cloud and AI era, addresses the needs of both security and networking teams by providing optimized access and real-time, context-based security for the AI ecosystem inclusive of agents, applications, tools, LLMs, people, devices, and data. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and its powerful NewEdge network to reduce risk and gain full visibility and control over cloud, AI, SaaS, web, and private applications - providing security and accelerating performance without trade-offs. Learn more at netskope.com, Netskope.ai, on LinkedIn, and Instagram.

Media Relations Contact:
press@netskope.com

Investor Relations Contact:
ir@netskope.com

FAQ

What does Netskope (NTSK) achieving AWS Security Competency for AI Security mean?

It means Netskope met AWS technical and quality requirements to secure AI workloads. According to Netskope, the designation signals validated expertise to help AWS customers mitigate AI risks like shadow AI and non-human traffic across AI use cases and deployments.

How does the AWS Security Competency for AI Security affect Netskope's product offerings (NTSK)?

The competency highlights Netskope One capabilities for AI workload protection and network optimization. According to Netskope, it underscores platform features such as NewEdge AI Fast Path, Data Lineage, MCP visibility, and AI-powered UZTNA for secure AI deployments on AWS.

Will the AWS Security Competency speed customer adoption of Netskope (NTSK) on AWS?

The competency may help customers identify Netskope as a qualified AWS partner for AI security. According to Netskope, the status intends to simplify partner selection and support secure integration, deployment, and governance of AI workloads on AWS.

What specific AI security risks does Netskope (NTSK) say it addresses with this AWS designation?

Netskope cites protection against shadow AI, non-human traffic, and unsafe Model Context Protocol use. According to Netskope, the Netskope One platform offers visibility, least-privilege enforcement, data lineage, and optimized network paths to mitigate these AI-specific risks.

How does Netskope's NewEdge AI Fast Path benefit AWS customers using AI workloads?

NewEdge AI Fast Path aims to reduce latency and costs while improving resilience for AI destinations. According to Netskope, the capability optimizes performance across public, private, and neo-cloud AI hosts and supports a more secure user experience for AI teams.