Cybersecurity
What Is Intelligent Video Analytics? A Defense and Security Guide for 2025-2026
Introduction
Raw video footage has never been the problem. The challenge – for defense forces, homeland security agencies, and commercial operators alike – is turning vast, continuous streams of video data into actionable intelligence, fast enough to matter. This is precisely what intelligent video analytics delivers: the ability to analyze video in real time, automatically detect objects and behaviors of interest, and surface relevant alerts without requiring a human operator to watch every frame. As AI capabilities have matured and edge computing has become viable on compact, ruggedized hardware, intelligent video analysis has transitioned from a niche research application to a core operational capability across defense, HLS, and critical infrastructure protection.

What Is Intelligent Video Analytics?
Intelligent video analytics (IVA) refers to the automated processing of video feeds using artificial intelligence and computer vision algorithms to extract structured, actionable information. Rather than passively recording and displaying footage, IVA systems actively analyze what the cameras see — identifying objects, classifying behaviors, tracking movement, and generating alerts when predefined conditions are met.
Modern intelligent video analysis encompasses several distinct analytical functions:
- Object detection: Identifying and locating vehicles, personnel, aircraft, or other objects within a video frame
- Object classification: Distinguishing between different categories — friendly forces vs. unknown contacts, light vehicles vs. armored vehicles, commercial aircraft vs. tactical UAVs
- Object tracking: Following a detected object across multiple frames and multiple camera feeds simultaneously
- Behavior recognition: Detecting patterns of movement or activity that indicate threat — unauthorized entry, loitering in restricted zones, convoy formation, or launch preparation
- Anomaly detection: Flagging deviations from learned baseline patterns without requiring explicit definition of every possible threat scenario
Why Intelligent Video Analytics Matters for Defense and Homeland Security
The operational case for intelligent video analysis in defense and HLS environments is straightforward but compelling. Modern surveillance architectures generate video data at volumes that exceed any human monitoring capacity. A single UAV conducting a 12-hour ISR mission generates hundreds of gigabytes of footage. A border surveillance system monitoring 100 kilometers of frontier operates continuously with no natural breaks. A force protection network around a forward operating base may run dozens of camera feeds simultaneously.
Without automation, most of this data is never meaningfully analyzed. Operators become fatigued, attention narrows, and genuinely significant events can occur during the moments when no analyst is actively watching. Intelligent video analytics addresses this directly by maintaining continuous, consistent, tireless analysis — and by alerting human operators only when something requires their attention.
The benefits are measurable:
| Operational Benefit | Impact |
|---|---|
| Reduced operator cognitive load | Human analysts focus on decisions, not monitoring |
| Faster threat detection | Millisecond AI response vs. seconds or minutes for human detection |
| Continuous coverage | No fatigue, no shift changes, no lapses in attention |
| Multi-stream analysis | A single AI system monitors dozens of feeds simultaneously |
| Searchable intelligence | Post-mission analysis with indexed object and event records |
For an independent perspective on how intelligent video analytics integrates with broader tactical situational awareness frameworks, this analysis of modern situational awareness systems provides useful operational context.
The Technology Behind Intelligent Video Analysis
Understanding what makes intelligent video analytics effective requires understanding the technology stack that powers it — from sensor to alert.
Video Capture and Encoding
The analytical pipeline begins with video capture. Camera quality, resolution, spectral range (visible, infrared, thermal), and encoding standard all affect what the AI system can extract from the footage. H.265/HEVC encoding is preferred in bandwidth-constrained environments because it maintains high visual quality at lower bitrates — ensuring that the footage arriving at the AI analysis stage contains sufficient detail for accurate detection and classification.
AI Processing at the Edge
The most significant advancement in intelligent video analysis over the past several years has been the shift from cloud-dependent processing to edge-based AI inference. Rather than transmitting raw video to a centralized server for analysis, modern systems run AI models directly on the platform that captures the video — whether that is a UAV, a ground vehicle, a fixed camera, or a soldier-worn device. This eliminates the latency inherent in round-trip transmission, enables operation in bandwidth-limited or connectivity-denied environments, and reduces the risk of intelligence interception during transmission.
Object Detection and Classification Models
Convolutional neural networks (CNNs) and transformer-based vision models form the backbone of modern IVA systems. These models are trained on labeled datasets of the object categories and behaviors relevant to the deployment context — military vehicles, aircraft types, personnel in specific configurations, or activity patterns in specific terrain types. Well-trained models operating on appropriate hardware can achieve real-time inference at 30+ frames per second.
Alert Generation and Operator Interface
The output of the AI analysis pipeline is structured data — object identities, locations, confidence scores, and behavioral classifications — that feeds into operator interfaces designed to surface the highest-priority intelligence. Effective interfaces suppress false positives, provide context for alerts, and allow operators to drill into the underlying video for confirmation.
Maris-Tech’s Intelligent Video Analytics Approach
Maris-Tech has built its entire technology stack around the thesis that meaningful intelligence must be generated at the point of collection. The company’s AI edge video processing platforms perform the full intelligent video analysis pipeline onboard UAVs, unmanned ground vehicles, armored platforms, and soldier-carried systems — without dependency on cloud connectivity or ground station processing.
The Maris approach integrates every layer of the video analytics pipeline:
- Multi-sensor acquisition covering RGB, thermal, and infrared channels
- H.264/H.265 encoding optimized for bandwidth-constrained transmission
- Onboard AI inference using hardware accelerators (including the Hailo-8 chipset) for object detection, classification, and tracking
- Real-time alert generation feeding into command-and-control interfaces
- KLV metadata embedding for geospatial context in accordance with MISB standards
This architecture is reflected in the company’s AI video analysis capabilities, which are deployed across defense, HLS, and commercial sectors globally. Field-proven with leading security organizations across Israel, Europe, North America, and Asia Pacific, Maris-Tech’s solutions are trusted in operational environments where the consequences of missed detections or false positives are measured in lives and mission outcomes.
Key Applications of Intelligent Video Analytics in 2025–2026
Intelligent video analysis is being applied across a rapidly expanding set of operational contexts:
Airborne ISR
UAVs equipped with IVA can autonomously detect and follow targets of interest across complex terrain — without requiring operators to actively track every movement. This dramatically extends the effective range of ISR missions and reduces the number of operators needed per platform.
Border and Perimeter Security
Fixed and mobile camera networks equipped with AI analysis can monitor extended frontiers 24/7, alerting security forces only when genuine incursions or anomalous behaviors are detected — filtering out false positives from wildlife, weather, or civilian movement.
Force Protection
Around forward operating bases or critical installations, intelligent video analytics provides persistent 360-degree awareness, detecting and classifying threats before they reach engagement range and cueing counter-measures or response forces.
Counter-UAS Operations
IVA systems are increasingly deployed specifically for the detection and classification of hostile UAVs — tracking swarm formations, identifying launch signatures, and supporting intercept targeting in real time.
Urban Operations
In complex urban environments, AI video analytics supports route reconnaissance, crowd monitoring, and facility security, identifying patterns of behavior that precede attacks or coordinated incursions.
According to Wikipedia’s overview of video analytics technology, the field has expanded significantly with the availability of affordable AI hardware and the maturation of computer vision models — making capabilities once reserved for the largest defense programs accessible to a much broader range of operators and applications.
Selecting an Intelligent Video Analytics System
For procurement teams and defense integrators evaluating IVA platforms, several technical criteria consistently separate operational-grade solutions from commercially-adequate alternatives:
- Detection accuracy at target ranges: What is the false positive and false detection rate at operationally relevant distances?
- Multi-stream capacity: How many simultaneous video feeds can the system analyze without degrading detection performance?
- Latency from capture to alert: End-to-end pipeline latency of under 100ms is the operational standard for real-time tactical applications
- Edge processing independence: Can the system operate effectively without persistent connectivity to a ground station or cloud server?
- Environmental qualification: Is the hardware MIL-STD-rated for vibration, temperature extremes, dust, and moisture?
- Integration with C2 systems: Does the system output structured data compatible with standard command-and-control architectures?
As intelligent video analytics continues to mature, the gap between what AI-enabled systems can detect and what human operators can manually monitor will only grow wider. Organizations that build intelligent video analysis into their surveillance and ISR architecture now will hold a substantial operational advantage over those that treat it as a future capability.
Cybersecurity
Top Israeli VC Firms in 2026: How Israel Became a Global Venture Capital Powerhouse
Israel has earned its reputation as the “Startup Nation” – a small country punching far above its weight in global technology innovation. With more NASDAQ-listed companies per capita than any other nation outside the United States, Israel’s venture capital ecosystem has become a global benchmark. For entrepreneurs, institutional investors, and growth-stage companies seeking smart capital, understanding the top Israeli VC landscape is more important than ever. This article explores what makes Israel VC so unique, which firms are leading the market, and why the country continues to produce world-class technology companies. For those looking to partner with a leading Israeli VC firm, the landscape in 2026 is rich with opportunity.

Why Israel Leads the Global VC Landscape
Few countries can match Israel’s innovation density. Home to over 7,000 active startups and a deeply experienced talent pool shaped by elite military technology units such as Unit 8200, Israel has cultivated one of the world’s most fertile startup ecosystems. According to the Global Startup Ecosystem Report, Tel Aviv consistently ranks among the top ten global startup ecosystems. This is not by accident — it is the result of decades of investment by both the Israeli government and private venture capital.
The VC Israel market has grown dramatically over the past decade. Total venture capital investments in Israeli startups exceeded $7 billion in recent years, with cybersecurity, SaaS, deep tech, and defense technology accounting for the lion’s share of funding. Israeli VCs have developed a reputation not only for providing capital but for offering hands-on operational guidance, deep industry networks, and access to global markets — qualities that make them uniquely valuable to early-growth companies.
What Sets Top Israeli VC Firms Apart
Not all venture capital is equal. The best Israeli VC firms distinguish themselves through a combination of sector focus, strategic partnerships, and long-term commitment to their portfolio companies. Here are the key differentiators:
- Sector expertise: Leading Israeli VCs concentrate on domains where Israel has natural competitive advantages — cybersecurity, enterprise software, and deep tech.
- Strategic partnerships: Many top Israeli VC firms partner with defense companies, CISOs, and multinational corporations to provide portfolio companies with market access and real-world validation.
- Early-growth focus: The strongest players in the VC Israel market specialize in early-growth stage companies, providing not just seed funding but the operational support needed to scale.
- Global reach: Israeli VCs maintain strong ties to the United States, Europe, and Asia, helping portfolio companies expand internationally at speed.
- Track record: Firms with 17+ successful exits and cumulative exit values in the billions signal the kind of experience that matters to founders and co-investors alike.
Elron Ventures: A Cornerstone of the Israel VC Ecosystem
Among the top Israeli VC firms, Elron Ventures stands out as one of the most experienced and strategically connected. Founded in 1962 and based in Tel Aviv, Elron Ventures has built an exceptional portfolio focused on cybersecurity, SaaS, deep tech, and defense technology. The firm has completed over 17 exits with a combined value exceeding $2.6 billion, a testament to the quality of its investment process and the depth of its sector expertise.
What distinguishes Elron in the crowded Israel VC market is its partnership with Rafael Advanced Defense Systems — one of the world’s leading defense technology companies. This alliance gives Elron portfolio companies access to live development environments, real customer data, and direct pathways to enterprise contracts. For cybersecurity startups in particular, this combination of investment and strategic support is a significant competitive advantage.
Elron also established CyberFuture, a Global CISO Investment Alliance, which brings together top chief information security officers from around the world to advise and support cybersecurity portfolio companies. This unique model bridges the gap between investment capital and practical security expertise, accelerating the growth of startups that might otherwise struggle to gain enterprise credibility.
The State of Israeli Venture Capital in 2026
The Israel VC market in 2026 is characterized by increasing sophistication on both sides of the deal table. Founders are more globally oriented, raising from international syndicates from the outset. Investors, meanwhile, are sharpening their focus: the days of generalist VC are giving way to domain-specific funds with deep operating networks.
Key trends shaping VC Israel in 2026 include:
- Defense tech and dual-use technologies gaining momentum, driven by geopolitical shifts and growing demand for advanced security solutions.
- AI-integrated cybersecurity emerging as a dominant investment category, with Israeli startups leading in threat detection, automated response, and zero-trust architectures.
- B2B SaaS continuing to attract significant capital, with investors prioritizing companies that demonstrate clear enterprise traction and net revenue retention above 120%.
- Cross-border co-investments increasing, with US and European VCs partnering more frequently with Israeli lead investors to access deal flow.
What Founders Should Know When Seeking an Israeli VC
Choosing the right venture capital partner is one of the most consequential decisions a founder makes. For companies seeking capital from top Israeli VC firms, there are several important considerations:
First, understand the firm’s portfolio thesis. The best Israeli VCs are not generalists — they have a clear point of view on the sectors and stages they back. Alignment between your company’s trajectory and the firm’s thesis is a prerequisite for a productive partnership.
Second, evaluate the strategic value beyond capital. In the Israel VC market, the most valuable investors bring networks, operational expertise, and introductions to key customers. Firms with strong corporate partnerships and government ties can dramatically accelerate a company’s path to market.
Third, look at the track record of exits. A VC with a history of successful exits — particularly in your sector — has proven its ability to support companies through the full lifecycle from early investment to strategic exit or public listing.
Conclusion: Israel’s VC Advantage Is Built to Last
Israel’s position as a top global startup nation is not a trend — it is the product of structural advantages that continue to compound. A strong military-to-technology talent pipeline, world-class universities, deep government support for R&D, and a culture that embraces risk and innovation have created conditions that few other countries can replicate.
For investors looking to access the best opportunities in cybersecurity, enterprise software, and deep tech, Israel VC represents one of the highest-quality opportunity sets available. And for founders building in these sectors, partnering with experienced, well-networked Israeli VCs can be the accelerant that transforms a promising startup into a category-defining company.
To learn more about leading early-growth investments in Israel’s technology sector, explore the full portfolio and investment philosophy at elronventures.com.
Business Solutions
Importer of Record (IOR): The Hidden Compliance Barrier to Global Tech Deployment and How to Clear It
Introduction
Global technology deployment sounds straightforward on paper: procure hardware, ship it to the destination country, install it, go live. The reality is considerably more complex. When technology companies move servers, networking equipment, or other hardware across international borders, every shipment must clear customs in the destination country – and that process requires a legally registered Importer of Record (IOR) to bear responsibility for compliance, duty payment, and documentation. When no qualified IOR exists, shipments face holds, seizure, or return – all of which translate directly into project delays and financial loss. Getway Global provides specialist IOR services that enable technology companies to deploy hardware in international markets without establishing local legal entities in every destination country.

What Is an Importer of Record and What Responsibility Does It Carry?
The Importer of Record is the entity legally accountable for ensuring imported goods comply with destination country law. For every technology hardware shipment entering a new market, the IOR must:
- File correct import documentation with customs authorities – commercial invoice, packing list, bill of lading, and any country-specific certificates
- Ensure the shipment meets local product certification, safety, and regulatory standards before arrival
- Pay applicable import duties, tariffs, and value-added taxes on behalf of the beneficial owner
- Maintain import records for audit purposes – typically three to seven years depending on jurisdiction
- Accept legal liability for customs violations, misclassified goods, or missing documentation
For technology hardware – which often includes components with dual-use classification, encryption capabilities, or items subject to export controls – this liability is particularly significant. A single incorrect HS classification or missing certification can trigger an inspection that delays a project by weeks and damages the relationship with the end customer.
When Is IOR Coverage Required?
The IOR requirement arises in specific, recurring scenarios that any technology company with global ambitions will encounter. Getway Global services for IOR and compliance address all of the following situations:
- No local legal entity: The destination country is a new market where the company has not yet established a registered business presence – but hardware must be in place before or alongside formal market entry
- Entity exists but lacks import authorization: Many companies have subsidiary offices in multiple countries but have not obtained the customs registrations, import licenses, or product certifications required to legally receive hardware in those jurisdictions
- Restricted product categories: Communications equipment, high-performance processors, encryption hardware, and dual-use components require specific import permits that must be held by an authorized local entity
- Temporary deployment: Hardware deployed for a fixed-term project or proof-of-concept that will subsequently be re-exported carries customs treatment requirements distinct from permanent importation
- Speed-versus-compliance conflict: The project timeline demands hardware be on site before the company could realistically establish its own import capability in that country
Country Complexity: The Regulatory Landscape for Technology Hardware
| Country / Region | IOR Complexity | Key Certification / Requirement | Primary Risk Without IOR |
| Brazil | Very High | ANATEL cert; SISCOMEX registration | Hold, duties, fines, return cost |
| India | High | BIS certification; category import licenses | Seizure; 8-16 week clearance |
| Saudi Arabia | High | CITC approval; local sponsor | Clearance refusal; return shipment |
| China | High | MIIT licensing; CCC certification | Confiscation; significant penalties |
| European Union | Moderate | CE marking; EORI number registration | VAT recovery failure; audit exposure |
| United States | Low-Moderate | FCC authorization; EIN required | Bonding requirements; audit risk |
Complexity ratings reflect regulatory documentation burden for technology hardware shipments. Always verify current requirements with a specialist provider.
The Real Cost of IOR Non-Compliance
- Customs demurrage and storage: Hardware held at customs or airline cargo facilities incurs daily storage charges. A two-to-four-week hold on a high-value technology shipment can generate costs that dwarf the IOR service fee itself
- Project delay: In technology deployments where hardware availability is on the critical path, a customs delay translates directly into deferred go-live dates, SLA breaches, and client-facing reputational damage
- Financial penalties: Customs authorities impose fines for misclassification, duty underpayment, or missing documentation – assessed on the declared value of the shipment
- Return shipping costs: Hardware that cannot be cleared must be returned at the shipper’s expense and the importation process must restart with corrected documentation, adding weeks and freight cost
- Product seizure: In serious compliance failures, authorities retain hardware until legal resolution – effectively destroying both the asset value and the project timeline
What to Look for in a Specialist IOR Provider
- Direct legal entity presence: The provider should hold its own registrations, licenses, and customs relationships in key markets – not broker the arrangement through local third parties who add documentation risk
- Technology hardware expertise: Understanding dual-use classifications, export control regimes, encryption product restrictions, and regional product certifications is domain-specific knowledge that general logistics providers typically do not possess
- End-to-end service scope: Effective IOR coverage includes pre-shipment documentation review, customs clearance, duty payment, and post-import compliance recordkeeping
- Transparent cost structure: IOR fees, duty amounts, local taxes, and logistics costs should be clearly separated in quotations to enable accurate budget planning
- Proven experience in high-complexity markets: References and documented operational history in Brazil, India, the Middle East, and APAC are the clearest indicators of genuine IOR capability
Conclusion
The Importer of Record requirement is one of the most consistently underestimated friction points in global technology deployment. Its consequences – delayed projects, financial penalties, and hardware exposure – are entirely preventable with the right specialist service in place before the first shipment leaves the origin facility. For technology companies scaling internationally, establishing IOR coverage in key markets is not a compliance formality: it is a foundational operational decision.
Cybersecurity
Microsoft Power Platform Security: The Risks CISOs Cannot Afford to Ignore
Microsoft Power Platform is now one of the most widely deployed technology ecosystems in the enterprise. Power Apps, Power Automate, Power BI, and Copilot Studio collectively enable millions of business users to build custom applications, automate complex workflows, analyze sensitive data, and deploy AI agents — all without writing a single line of code. The productivity gains are real and significant. The security implications are equally real — and far less often discussed.
Unlike traditional enterprise applications that pass through formal development and security review processes, Power Platform apps and automations are typically built by business users working at high speed, with limited security training and no mandatory AppSec review. The result is an ecosystem that grows faster than any security team can track, and faster than Microsoft’s native governance tools are designed to manage. This is the core challenge that purpose-built platforms for microsoft power platform security are designed to address.
Understanding the Power Platform Ecosystem
Power Platform is not a single product — it is an integrated ecosystem of tools that share a common data layer, a common connector framework, and a common identity model based on Microsoft Entra. Understanding each component’s security implications is essential for organizations seeking to govern the platform effectively:
| Component | Primary Function | Key Security Concerns |
| Power Apps | Custom business application development | External data exposure, excess permissions |
| Power Automate | Workflow and process automation | Automated data exfiltration, unvetted triggers |
| Power BI | Business intelligence and data analytics | Sensitive data in reports, oversharing dashboards |
| Copilot Studio | No-code AI agent creation | Prompt injection, shadow agents, data leakage |
| Dataverse | Shared enterprise data platform | Misconfigured access, cross-app data exposure |
The shared architecture is both the platform’s strength and a key source of security risk. Because all components operate within the same data and identity model, a misconfiguration or vulnerability in one component can cascade across the others. An overly permissive Power Automate flow, for example, can move data from Dataverse into an external system in ways that affect every app that depends on that data.
The Scale of Enterprise Power Platform Deployments
One of the most underappreciated aspects of Power Platform security is the sheer scale of typical enterprise deployments. Organizations that believe they have dozens of Power Platform apps typically have thousands. According to data from Nokod Security, the average large enterprise environment contains more than 10,000 Power Platform apps and automations — far exceeding what any team could review manually.
The scale problem is compounded by the platform’s accessibility. Because power platform security governance requires visibility across all of these assets simultaneously, manual approaches are operationally impossible at enterprise scale. Automation is not an option — it is a necessity.
Top Power Platform Security Risks
Based on real-world enterprise security assessments, the following risk patterns consistently emerge across Power Platform deployments:
- Data Leakage via Connectors: Power Automate and Power Apps connect to hundreds of third-party services via the Microsoft connector framework. Without proper Data Loss Prevention policies, sensitive data can flow to unauthorized destinations automatically, often without the app builder’s awareness.
- Excessive Sharing: Power Apps can be shared with individual users, security groups, or the entire organization. Apps shared tenant-wide expose their underlying data connections to all employees — a common misconfiguration that security teams rarely catch without automated scanning.
- Power BI Data Security: Power BI reports and dashboards often contain sensitive financial, operational, or customer data. Without row-level security and workspace governance, this data can be exposed to audiences far beyond what the report creator intended.
- Shadow Engineering: Business units build Power Platform solutions outside of IT visibility, creating a growing inventory of unmonitored apps that may expose sensitive data, violate compliance requirements, or become orphaned when their creators change roles.
- Injection Vulnerabilities: Power Apps connected to SQL databases or other data sources are vulnerable to injection attacks, particularly when input validation is handled by the app builder rather than by a trained developer.
- Supply Chain Risk: Connectors and custom APIs embedded in Power Platform solutions introduce third-party dependencies that carry their own security risks, including compromised endpoints and unauthorized data access.
Gartner has predicted that low-code/no-code development will account for more than 70% of new enterprise application activity. As Power Platform adoption accelerates, these risks will grow proportionally unless organizations implement systematic governance.
Power BI Security: A Frequently Overlooked Attack Surface
Power BI occupies a unique position in the Power Platform security landscape. Unlike Power Apps and Power Automate, which are primarily operational tools, Power BI is designed specifically for distributing data broadly across the organization. Reports and dashboards are regularly shared with large internal audiences and, in many cases, embedded in external-facing portals.
This broad distribution model creates significant Power BI data security risks. Reports may contain embedded credentials or sensitive query logic. Workspaces may be shared without appropriate access controls. Data refresh schedules may pull from production systems without proper service account governance. And premium capacity environments may lack the monitoring required to detect unusual data access patterns.
Managing these risks requires the same combination of inventory, policy enforcement, and automated monitoring that governs the broader Power Platform. For organizations seeking to address data leakage prevention across their entire Power Platform environment, a unified approach that covers all components — including Power BI — is essential.
How Nokod Addresses Power Platform Security
Nokod Security was built specifically for the low-code/no-code security challenge. Its platform connects to Power Platform environments and, within minutes, delivers a complete inventory of every app, flow, agent, and data connection — including assets that IT has never seen. From that inventory, Nokod automatically surfaces the risks that matter: excessive permissions, unauthorized sharing, connector policy violations, injection vulnerabilities, and data exposure paths.
For Power BI specifically, Nokod scans workspace configurations, sharing settings, and data access patterns to identify dashboards and reports that expose sensitive data to unintended audiences. One-click remediation options allow security teams to address identified issues at scale without requiring app-by-app manual review.
Fortune 500 companies across insurance, healthcare, and financial services have deployed Nokod to bring security rigor to their Power Platform environments. The typical finding: the actual number of apps and automations is between five and ten times larger than what IT believed existed — and a significant proportion carry high-severity security findings that require immediate remediation.
For a detailed analysis of Power Platform security risks and remediation strategies, see this comprehensive guide at techpr.online.
For background on the broader low-code security landscape, the Wikipedia article on Low-code development platform provides useful context.
Conclusion
Microsoft Power Platform has become indispensable to enterprise operations — and one of its most significant security blind spots. The combination of rapid citizen development, complex multi-component architecture, and organizational scale creates risks that manual governance processes cannot address. Nokod Security provides the automated visibility, risk detection, and remediation capabilities that Power Platform environments require — enabling organizations to accelerate digital transformation on Power Platform with confidence that the security team has the oversight the enterprise demands.
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