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Runtime Application Self Protection Market Size and Share
Market Overview
| Study Period | 2020 - 2031 |
|---|---|
| Market Size (2026) | USD 2.59 Billion |
| Market Size (2031) | USD 8.88 Billion |
| Growth Rate (2026 - 2031) | 27.96 % CAGR |
| Fastest Growing Market | Asia Pacific |
| Largest Market | North America |
| Market Concentration | Medium |
Major Players *Disclaimer: Major Players sorted in no particular order. Image © Mordor Intelligence. Reuse requires attribution under CC BY 4.0. |
Runtime Application Self Protection Market Analysis by Mordor Intelligence
Runtime Application Self Protection market size in 2026 is estimated at USD 2.59 billion, growing from 2025 value of USD 2.02 billion with 2031 projections showing USD 8.88 billion, growing at 27.96% CAGR over 2026-2031. Growth reflects the need to embed security inside running code as perimeter controls struggle against zero-day exploits and API-focused attacks. Regulatory pressure from NIS2 in the European Union and updated CISA directives in the United States is accelerating budget re-allocation toward in-process security controls that deliver immediate threat response. Cloud-native and serverless adoption increases the number of short-lived workloads, which raises demand for agent-level protection that follows the code, not the infrastructure. Vendors are responding with acquisitions that fold runtime protection into broader platform offerings, while early investment in eBPF and Application Detection Response hints at the next wave of competitive differentiation.
Key Report Takeaways
- By component, solutions captured 63.90% of the Runtime Application Self Protection market share in 2025, while services are projected to grow at 16.92% CAGR to 2031.
- By deployment mode, cloud deployments accounted for 70.70% of the Runtime Application Self Protection market size in 2025 and are on track for an 18.1% CAGR through 2031.
- By end-user enterprise size, large enterprises held 57.40% of revenue in 2025, whereas SMEs record the highest CAGR at 16.2% through 2031.
- By end-user industry, the BFSI sector led with 22.40% revenue share in 2025; healthcare is forecast to expand at 19.0% CAGR to 2031.
- By geography, North America maintained 40.30% revenue share in 2025, while Asia-Pacific posts the fastest CAGR at 17.8% through 2031.
Global Runtime Application Self Protection Market Trends and Insights
Drivers Impact Analysis
| Driver | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline | |||
|---|---|---|---|---|---|---|
Surging zero-day and memory-safe exploits
Surging zero-day and memory-safe exploits
| +6.2% | Global, with concentration in North America and EU | Short term (≤ 2 years) |
(~) % Impact on CAGR Forecast
:
+6.2%
|
Geographic Relevance
:
Global, with concentration in North America and EU
|
Impact Timeline
:
Short term (≤ 2 years)
|
Growing prevalence of API-centric architectures
Growing prevalence of API-centric architectures
| +5.8% | Global, led by Asia-Pacific cloud adoption | Medium term (2-4 years) | |||
Rapid shift to cloud-native and serverless runtimes
Rapid shift to cloud-native and serverless runtimes
| +4.9% | North America and EU core, expanding to Asia-Pacific | Medium term (2-4 years) | |||
Heightened compliance for in-process security controls
Heightened compliance for in-process security controls
| +4.1% | EU (NIS2), North America (NIST), expanding globally | Long term (≥ 4 years) | |||
Mandatory in-app runtime protection for critical
infrastructure
Mandatory in-app runtime protection for critical
infrastructure
| +3.7% | EU, North America, with spillover to developed markets | Long term (≥ 4 years) | |||
Expansion of SBOM mandates driving embedded RASP
Expansion of SBOM mandates driving embedded RASP
| +2.9% | North America (FDA), EU, expanding to healthcare globally | Medium term (2-4 years) | |||
| Source: Mordor Intelligence | ||||||
Surging Zero-Day and Memory-Safe Exploits
Zero-day attacks now target logic faults and supply-chain gaps that static scanning ignores, prompting enterprises to place defense inside the code path itself. RASP tools monitor execution context in real time, blocking unknown exploits that bypass signature-based devices. The urgency grew when 27% of 2024 API attacks exploited business-logic flaws that Web Application Firewalls missed [1]Thales Group, “Data Threat Report 2024,” thalesgroup.com. AI-driven tooling further widens the threat window, reinforcing the value of behavior-based runtime inspection.
Growing Prevalence of API-Centric Architectures
Microservices and serverless patterns multiply API endpoints, turning each call into a potential breach vector. Forty-six percent of 2024 account-takeover attempts struck APIs rather than web forms [2]Salt Security, “State of API Security 2024,” salt.security. Embedded runtime protection observes every request flow, flags anomalous parameters, and interrupts illicit calls, protecting against GraphQL injection, parameter pollution, and prompt injection attacks targeting AI modules.
Rapid Shift to Cloud-Native and Serverless Runtimes
Containers spin up for seconds, leaving no window for scheduled scans, while serverless platforms prohibit traditional agents. Runtime Application Self Protection market vendors build lightweight hooks that travel with the application, giving asset-level visibility regardless of host rotation. Adoption gains momentum as customers absorb the cloud shared-responsibility model, acknowledging that application security remains their remit.
Heightened Compliance for In-Process Security Controls
NIST SP 800-53 now cites runtime protection explicitly, mirroring the NIS2 call for “state-of-the-art” application security. Auditors favor RASP because it produces runtime evidence and fine-grained audit logs, simplifying proof of continuous monitoring. Organizations align purchases with compliance calendars, driving consistent demand even in budget-constrained cycles.
Restraints Impact Analysis
| Restraint | (~) % Impact on CAGR Forecast | Geographic Relevance | Impact Timeline | |||
|---|---|---|---|---|---|---|
Persistent performance-latency concerns for high-frequency
apps
Persistent performance-latency concerns for high-frequency
apps
| -3.4% | Global, particularly in financial trading and real-time systems | Short term (≤ 2 years) |
(~) % Impact on CAGR Forecast
:
-3.4%
|
Geographic Relevance
:
Global, particularly in financial trading and real-time
systems
|
Impact Timeline
:
Short term (≤ 2 years)
|
Limited developer skill-set for policy tuning
Limited developer skill-set for policy tuning
| -2.8% | Global, with acute shortages in emerging markets | Medium term (2-4 years) | |||
Fragmented observability and DevSecOps toolchains
Fragmented observability and DevSecOps toolchains
| -2.1% | North America and EU, spreading to Asia-Pacific | Medium term (2-4 years) | |||
Emerging eBPF-based alternatives cannibalising demand
Emerging eBPF-based alternatives cannibalising demand
| -1.9% | Linux-dominant environments, primarily North America and EU | Long term (≥ 4 years) | |||
| Source: Mordor Intelligence | ||||||
Persistent Performance-Latency Concerns for High-Frequency Apps
Algorithmic trading desks reject any component that adds microseconds. Even modern low-overhead RASP injects traces and policy checks that can stretch critical paths. Financial institutions calculate that single-digit millisecond delays erode revenue in volatile markets, so they trial kernel-level eBPF probes that promise lighter touch while retaining insight.
Limited Developer Skill-Set for Policy Tuning
Effective runtime protection demands rules calibrated to each function call. Most developers lack security depth, and most security teams lack code familiarity, producing either liberal settings that allow attacks or strict rules that break functionality. Managed service partners fill the vacuum, but fees and vendor lock-in slow broad adoption, especially among mid-tier enterprises.
Segment Analysis
By Component: Solutions Remain Dominant While Services Accelerate
Solutions generated 63.90% of revenue in 2025 led by web, mobile, API, and IoT protection modules. The Runtime Application Self Protection market rewards turnkey capabilities that drop into production pipelines with minimal friction. Web Application Protection earns the largest slice because browser-based transactions underpin digital business. Mobile Application Protection climbs fast as financial and commerce apps face runtime tampering, jailbreak abuse, and overlay malware. API Protection attracts buyers migrating to microservices, while IoT Application Protection gains traction in industrial environments that cannot patch firmware quickly.
Services outpace all other offerings with 16.92% CAGR to 2031. Professional Services guide policy design, code instrumentation, and compliance mapping. Managed Services sustain continuous monitoring, attack forensics, and tuning cycles. As a result, organizations with limited staff outsource ongoing care, even while retaining the core solution on premises or in the cloud. This pattern supports broader penetration of the Runtime Application Self Protection industry across verticals that lack deep security teams.
Note: Segment shares of all individual segments available upon report purchase
By Deployment Mode: Cloud Supremacy Amid Hybrid Complexity
Cloud deployments captured 70.70% of 2025 revenue and will keep an 18.1% CAGR through 2031. Hyperscaler marketplaces simplify procurement, and auto-scaling functions match agent counts to workload bursts. Private cloud persists in regulated zones that deter multitenant infrastructure, yet enterprises still want unified consoles that stitch public, private, and edge nodes. The Runtime Application Self Protection market size tied to public cloud grows as serverless platforms such as AWS Lambda adopt embedded hooks rather than host agents.
On-premises deployments decline in share but remain vital for legacy Java and .NET estates. Hybrid pipelines force vendors to harmonize policy engines so that a rule behaves identically in cloud pods, virtual machines, or on-premises clusters. Edge computing pushes sensors out to factories and retail sites, requiring lightweight footprints and intermittent connectivity management, creating new lanes for specialist vendors.
By End-user Enterprise Size: SME Growth Challenges Large Enterprise Dominance
Large enterprises held 57.40% of 2025 revenue. They deploy layered protection spanning build, deploy, and run stages and integrate runtime findings into SIEM and SOAR workflows. Custom policy libraries protect proprietary logic, and budgets support continuous penetration testing and red-teaming.
SMEs expand at 16.2% CAGR as SaaS delivery reduces entry barriers. Subscription pricing aligns with smaller budgets and removes capex. Cloud orchestration supplies auto-instrumentation, and managed service providers cover skill gaps. This democratization enlarges the Runtime Application Self Protection market and spreads risk-aware culture into supply chains that feed bigger firms.
Note: Segment shares of all individual segments available upon report purchase
By End-User Industry: Healthcare Surge Amid BFSI Leadership
The BFSI sector generated 22.40% of 2025 revenue because account fraud, open-banking APIs, and real-time settlement systems demand airtight runtime controls. Regulatory compulsion from PCI-DSS and regional open-banking rules replaces best-effort measures with mandated mitigation steps.
Healthcare grows at 19.0% CAGR to 2031, lifted by FDA medical-device cybersecurity rulings that prescribe Software Bills of Materials and continuous vulnerability mitigation. Electronic health record platforms and telemedicine apps add API surfaces that require deep behavioral monitoring. Manufacturing, energy, and government also invest steadily to protect industrial IoT and critical infrastructure.
Geography Analysis
North America held 40.30% revenue in 2025, supported by NIST directives, strong DevSecOps culture, and proximity to leading cloud providers. United States agencies place runtime protection in federal acquisition guidelines, igniting demand across civilian and defense programs. Canada scales adoption in banking and utilities, while Mexico favors cloud-delivered solutions for fintech and e-commerce.
Asia-Pacific posts the fastest 17.8% CAGR. Singapore’s revised Cyber Security Act compels critical sectors to adopt application-layer defenses. China and India add volume through explosive e-commerce and fintech ecosystems that move rapidly to microservices. Japan and South Korea push innovation in automotive and smart-factory use cases, accelerating runtime protection for robotic process lines. Australia and New Zealand enforce stringent obligations in public services and banking that echo European norms.
Europe expands steadily on the back of the NIS2 Directive, though cross-border harmonization lags. United Kingdom banks integrate runtime controls to satisfy Prudential Regulation Authority demands, while Germany and France focus on manufacturing 4.0 and energy grids. The Middle East and Africa join the adoption curve later, led by Gulf energy firms that secure drilling-rig automation and African mobile-money operators that defend transaction APIs.
Competitive Landscape
Market Concentration
Competition remains moderate and fragmented. No vendor exceeds a tenth of global revenue, leaving room for disruptors. Imperva, Contrast Security, and Dynatrace bundle RASP into full-stack observability, gaining mindshare with buyers that prefer platform breadth. The Runtime Application Self Protection market rewards firms that fuse code analysis, runtime detection, and threat intel under one license.
Acquisition momentum reshapes the field. Thales purchased Imperva for USD 3.6 billion in 2023 to extend data-centric security into application runtime. In 2025, Fortinet acquired Lacework to integrate cloud-native application protection into its firewall and SD-WAN portfolio. Similar roll-ups aim to shorten customer toolchains and simplify procurement.
Emerging challengers push eBPF and Application Detection Response. Oligo Security instruments the Linux kernel to watch memory and syscalls with microsecond overhead, appealing to latency-sensitive workloads [3]Oligo Security, “Kernel-Level Runtime Protection Whitepaper,” oligosecurity.com. Vendors that link runtime alerts with code-fix guidance gain preference as DevSecOps teams demand faster mean-time-to-remediation. Edge and IoT niches remain open for specialists that can harden ARM-based devices with limited storage and compute.
Runtime Application Self Protection Industry Leaders
1 CA Veracode Inc.
2 Contrast Security Inc.
3 Fortinet, Inc.
4 RunSafe Security Inc.
5 Imperva Inc.
*Disclaimer: Major Players sorted in no particular order
Recent Industry Developments
- March 2025: European Union Agency for Cybersecurity published NIS2 implementation guidance that underscores the need for application-layer controls.
- February 2025: Check Point Software added Quantum Policy Insights and Infinity AIOps to extend zero-trust posture across applications.
- January 2025: Contrast Security launched Application Vulnerability Monitoring to correlate in-production flaws with active exploits.
- January 2025: ArmorCode released 2025 security predictions highlighting consolidation of posture-management tooling.
Table of Contents for Runtime Application Self Protection Industry Report
1. INTRODUCTION
- 1.1Market Definition and Study Assumptions
- 1.2Scope of the Study
2. RESEARCH METHODOLOGY
3. EXECUTIVE SUMMARY
4. MARKET LANDSCAPE
- 4.1Market Overview
- 4.2Market Drivers
- 4.2.1Surging zero-day and memory-safe exploits
- 4.2.2Growing prevalence of API-centric architectures
- 4.2.3Rapid shift to cloud-native and serverless runtimes
- 4.2.4Heightened compliance for in-process security controls
- 4.2.5Mandatory in-app runtime protection for critical infrastructure (NIS-2, CISA)
- 4.2.6Expansion of SBOM mandates driving embedded RASP
- 4.3Market Restraints
- 4.3.1Persistent performance-latency concerns for high-frequency apps
- 4.3.2Limited developer skill-set for policy tuning
- 4.3.3Fragmented observability and DevSecOps toolchains
- 4.3.4Emerging eBPF-based alternatives cannibalising demand
- 4.4Value / Supply-Chain Analysis
- 4.5Evaluation of Critical Regulatory Framework
- 4.6Impact Assessment of Key Stakeholders
- 4.7Technological Outlook
- 4.8Porter's Five Forces Analysis
- 4.8.1Bargaining Power of Suppliers
- 4.8.2Bargaining Power of Consumers
- 4.8.3Threat of New Entrants
- 4.8.4Threat of Substitutes
- 4.8.5Intensity of Competitive Rivalry
- 4.9Impact of Macro-economic Factors
5. MARKET SIZE AND GROWTH FORECASTS (VALUE)
- 5.1By Component
- 5.1.1Solutions
- 5.1.1.1Web Application Protection
- 5.1.1.2Mobile Application Protection
- 5.1.1.3API Protection
- 5.1.1.4IoT Application Protection
- 5.1.2Services
- 5.1.2.1Professional Services
- 5.1.2.2Managed Services
- 5.2By Deployment Mode
- 5.2.1Cloud
- 5.2.1.1Public Cloud
- 5.2.1.2Private Cloud
- 5.2.1.3Hybrid Cloud
- 5.2.2On-premises
- 5.3By End-user Enterprise Size
- 5.3.1Large Enterprises
- 5.3.2Small and Medium-sized Enterprises
- 5.4By End-User Industry
- 5.4.1IT and Telecommunications
- 5.4.2BFSI
- 5.4.3Healthcare
- 5.4.4Government and Defense
- 5.4.5Manufacturing
- 5.4.6Retail and E-commerce
- 5.4.7Energy and Utilities
- 5.4.8Others
- 5.5By Geography
- 5.5.1North America
- 5.5.1.1United States
- 5.5.1.2Canada
- 5.5.1.3Mexico
- 5.5.2South America
- 5.5.2.1Brazil
- 5.5.2.2Argentina
- 5.5.2.3Rest of South America
- 5.5.3Europe
- 5.5.3.1Germany
- 5.5.3.2United Kingdom
- 5.5.3.3France
- 5.5.3.4Italy
- 5.5.3.5Spain
- 5.5.3.6Russia
- 5.5.3.7Rest of Europe
- 5.5.4Asia-Pacific
- 5.5.4.1China
- 5.5.4.2Japan
- 5.5.4.3India
- 5.5.4.4South Korea
- 5.5.4.5Australia and New Zealand
- 5.5.4.6Rest of Asia-Pacific
- 5.5.5Middle East and Africa
- 5.5.5.1Middle East
- 5.5.5.1.1Saudi Arabia
- 5.5.5.1.2United Arab Emirates
- 5.5.5.1.3Turkey
- 5.5.5.1.4Rest of Middle East
- 5.5.5.2Africa
- 5.5.5.2.1South Africa
- 5.5.5.2.2Nigeria
- 5.5.5.2.3Egypt
- 5.5.5.2.4Rest of Africa
6. COMPETITIVE LANDSCAPE
- 6.1Market Concentration
- 6.2Strategic Moves
- 6.3Market Share Analysis
- 6.4Company Profiles (includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)
- 6.4.1CA Veracode Inc.
- 6.4.2RunSafe Security Inc.
- 6.4.3Contrast Security Inc.
- 6.4.4HUMAN Security, Inc.
- 6.4.5Imperva Inc.
- 6.4.6Protectt.ai Labs Pvt Ltd.
- 6.4.7INKA Entworks Inc.
- 6.4.8Everspin Co., Ltd.
- 6.4.9Zimperium, Inc.
- 6.4.10Fortinet, Inc.
- 6.4.11Check Point Software Technologies Ltd.
- 6.4.12Digital.ai Software Inc.
- 6.4.13OpenText Corporation
- 6.4.14Rapid7, Inc.
- 6.4.15Synopsys, Inc.
- 6.4.16HCL Software
- 6.4.17VMware, Inc.
- 6.4.18Palo Alto Networks, Inc.
- 6.4.19Trend Micro Incorporated
- 6.4.20Cisco Systems, Inc.
7. MARKET OPPORTUNITIES AND FUTURE TRENDS
- 7.1White-space and Unmet-need Assessment
Research Methodology Framework and Report Scope
Market Definitions and Key Coverage
Our study defines the runtime application self-protection (RASP) market as all commercial software and managed code wrappers that sit inside an application or its runtime engine to detect, block, and log malicious behavior in real time while the application is executing in production environments. Solutions delivered as embedded agents, cloud-native services, or container sidecars are in scope, provided they intervene within the application context rather than at the network or host layer.
Scope Exclusions: Pure web-application firewalls, host intrusion systems, and professional services sold without a RASP license are excluded.
Segmentation Overview
- By Component
- Solutions
- Web Application Protection
- Mobile Application Protection
- API Protection
- IoT Application Protection
- Web Application Protection
- Services
- Professional Services
- Managed Services
- Professional Services
- Solutions
- By Deployment Mode
- Cloud
- Public Cloud
- Private Cloud
- Hybrid Cloud
- Public Cloud
- On-premises
- Cloud
- By End-user Enterprise Size
- Large Enterprises
- Small and Medium-sized Enterprises
- Large Enterprises
- By End-User Industry
- IT and Telecommunications
- BFSI
- Healthcare
- Government and Defense
- Manufacturing
- Retail and E-commerce
- Energy and Utilities
- Others
- IT and Telecommunications
- By Geography
- North America
- United States
- Canada
- Mexico
- United States
- South America
- Brazil
- Argentina
- Rest of South America
- Brazil
- Europe
- Germany
- United Kingdom
- France
- Italy
- Spain
- Russia
- Rest of Europe
- Germany
- Asia-Pacific
- China
- Japan
- India
- South Korea
- Australia and New Zealand
- Rest of Asia-Pacific
- China
- Middle East and Africa
- Middle East
- Saudi Arabia
- United Arab Emirates
- Turkey
- Rest of Middle East
- Saudi Arabia
- Africa
- South Africa
- Nigeria
- Egypt
- Rest of Africa
- South Africa
- Middle East
- North America
Detailed Research Methodology and Data Validation
Primary Research
To seal data gaps, we interviewed CISOs, DevSecOps architects, and regional channel partners across North America, Europe, and Asia Pacific. Conversations confirmed average protected-application counts by industry, typical subscription terms, and saturation thresholds in midsize enterprises. Follow-up surveys with security vendors and MSSPs tested preliminary volume and pricing assumptions before model lock-in.
Desk Research
Analysts started with publicly available cyber-security statistics from sources such as NIST's National Vulnerability Database, ENISA threat reports, and CERT coordination centers, which clarified exploit frequencies that shape adoption curves. We layered in deployment counts from cloud provider transparency portals, application workload metrics published by CNCF, and annual disclosures from large enterprises that cite spend on application security in their 10-K filings. Shipment values were validated against import-export traces available through Volza and patent momentum extracted via Questel, helping us size emerging API-centric use cases. Company presentations, association whitepapers, and press releases then rounded out pricing benchmarks and competitive moves. The examples above are illustrative; many additional references informed data gathering and triangulation.
Market-Sizing & Forecasting
The model begins with a top-down install-base build that maps active enterprise and cloud-native application workloads, multiplies them by observed RASP penetration rates, and applies median annual spend per protected workload. Select bottom-up checks, supplier revenue roll-ups, and sampled average-selling-price times volume validate totals and highlight anomalies. Variable drivers include published software vulnerability tallies, migration share of workloads from on-premises to cloud, regulatory mandates (GDPR, PCI DSS), average price erosion for subscription security software, and regional GDP growth for IT outlay. Forecasts use a multivariate regression that links these drivers to historical RASP uptake and incorporates scenario bounds shared by interviewees. Where bottom-up estimates lag local currency shifts or gray-market discounts, adjustments are performed to align with macro signals.
Data Validation & Update Cycle
Every iteration passes two analyst reviews that compare outputs with peer security spend ratios and vendor earnings calls. Deviations beyond preset thresholds trigger re-contacts with sources. Reports refresh annually, with interim updates after material events such as high-severity exploit waves, so clients receive the latest calibrated view.
Why Mordor's Runtime Application Self Protection Market Baseline Earns Trust
Published estimates differ because firms adopt unique scopes, currency bases, and refresh cadences. Some fold adjacent in-app firewalls into totals, while others ignore consumption pricing tied to serverless functions.
Key gap drivers we observe are inconsistent treatment of managed services revenue, uneven currency conversions, one-off vendor surveys without workload cross-checks, and infrequent model refreshes. Mordor Intelligence applies a disciplined scope, relies on repeatable workload counts, and revisits the model whenever regulation or deployment architecture shifts, giving decision-makers a dependable anchor.
Benchmark comparison
| Market Size | Anonymized source | Primary gap driver | ||
|---|---|---|---|---|
USD 2.02 B (2025) | Mordor Intelligence | Anonymized source:Mordor Intelligence | Primary gap driver: | |
USD 3.08 B (2024) | Global Consultancy A | Includes adjacent in-app firewalls and bundles maintenance revenue | ||
USD 0.74 B (2025) | Trade Journal B | Counts software licenses only, omits cloud consumption fees | ||
USD 4.54 B (2024) | Industry Association C | Relies on vendor surveys without currency harmonization or regional checks |
These comparisons show that our transparent variable selection and frequent updates yield a balanced, traceable baseline that clients can rely on for planning and investment decisions.
Key Questions Answered in the Report
What is driving the rapid growth of the Runtime Application Self Protection market?
Real-time defense against zero-day exploits, API-centric architectures, and stricter compliance frameworks are pushing enterprises to embed protection within running applications.
Which deployment model leads adoption?
Cloud deployment commands 70.70% of revenue, supported by auto-scaling and simplified agent rollout.
Why is healthcare the fastest-growing vertical?
FDA mandates for Software Bills of Materials and continuous monitoring require hospitals and device makers to add runtime visibility, lifting healthcare’s CAGR to 19.0%.
How do performance constraints affect market adoption?
Latency-sensitive sectors such as high-frequency trading remain cautious because even microsecond delays can erode competitive advantage, tempering near-term uptake.
Are SMEs adopting runtime protection?
Yes, SMEs expand adoption at 16.2% CAGR thanks to SaaS subscriptions and managed services that reduce the need for in-house expertise.
What technologies could disrupt traditional RASP solutions?
EBPF-based monitoring and Application Detection Response platforms offer low-overhead alternatives that may cannibalize legacy agent approaches, especially in performance-critical workloads.
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