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Swish Data Corporation

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swishdata.comMcLean, VA, United States

Swish Data Corporation delivers IT modernization, data and AI, cybersecurity, and performance engineering services to government clients.

Overview

Swish Data Corporation is a government-focused technology company that helps public-sector clients modernize IT systems, leverage data and AI, and strengthen cybersecurity and performance. The company delivers end-to-end services across IT modernization, data and AI, cybersecurity, and performance engineering to enable mission success through secure, resilient, and efficient technology platforms.

Mission statement

Our mission is to help government organizations modernize IT, harness data and AI responsibly, and enhance security and performance through well-engineered technology solutions.

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What we offer

GIST360

Enhances government operations through a robust engineering and technology platform.

gist360.swishdata.com/

IT Modernization

Accelerate mission delivery with enhanced technology infrastructure and services.

swishdata.com/solutions/it-modernization/

Performance Engineering

Optimize Digital Operations to Enhance Customer Experience.

swishdata.com/solutions/performance-engineering/

Cybersecurity

Enhance security measures to protect against advanced cyber threats.

swishdata.com/solutions/cybersecurity/

Data and AI

Unlock the full potential of your data to drive intelligent decision-making.

swishdata.com/solutions/data-and-ai/

Gen AI Security

Secure Generative AI Applications and Protect Sensitive Data for Government Agencies.

swishdata.com/solutions/genaisecurity/

Market segments

Market size by segment

Growth potential (CAGR)

Cybersecurity and zero trust

38.37 Billion USD17.7% CAGR

Capabilities to protect agencies from advanced threats, enforce cybersecurity policy compliance, and implement zero trust architectures across networks and applications.

GenAI application security and governance

1.3 Billion USD30% CAGR

Visibility, classification, runtime protection and policy enforcement for generative AI applications and models to prevent data loss, prompt injection, and unsafe model behavior.

Data management and MLOps

3 Billion USD38% CAGR

Data accessibility, integration, linking, and trustworthy data practices that operationalize analytics and machine learning through DataOps and MLOps for faster, decision‑ready insights.

Cloud modernization and DevSecOps

11.4 Billion USD14.2% CAGR

Modernization of cloud and data center platforms, containerization, virtualization and DevSecOps practices to accelerate secure delivery of mission services.

Observability and AIOps

18.5 Billion USD18% CAGR

End-to-end monitoring, alert and dashboard optimization, incident management, and AI-driven detection and remediation to reduce incidents and improve MTTR.

More information about our offering

GIST360

Transform, deliver and optimize your mission. An outcomes-driven engineering and technology platform designed for government and mission-critical work.

  • Supports Diverse Government Needs
    GIST360 integrates various capabilities to meet the complex needs of government clients.
  • Aligns With Client Missions
    Focuses on achieving measurable outcomes that contribute directly to client missions.
  • Ensures Sustainable Solutions
    This approach promotes continuous improvement and user satisfaction throughout the project lifecycle.
  • Facilitates Informed Decision-Making
    Utilizes AI to provide actionable insights, streamlining operations and improving outcomes.

IT Modernization

Modernize your data center, cloud, and application capabilities to deliver innovative mission services faster with increased quality and security.

  • Accelerate Cloud Services
    Implement advanced cloud solutions that enhance scalability and performance, enabling faster deployment of applications and services.
  • Secure Software Delivery
    Implement DevSecOps practices to enhance collaboration in software development while embedding security throughout the lifecycle.
  • Enhance Application Performance
    Revamp existing applications with modern coding practices and technology stacks to ensure they meet current and future mission requirements.
  • Increase Data Center Reliability
    Upgrade infrastructure and systems to ensure high availability and enhanced security measures within data center operations.
  • Enable Scalable Deployments
    Utilize container technologies to streamline application delivery and management, enhancing resource efficiency and deployment speed.
  • Automate IT Operations
    Integrate AIOps solutions to automate monitoring, management, and optimization of IT services, significantly lowering downtime.
  • Optimize Resource Usage
    Leverage virtualization technologies to improve resource management and enhance overall system performance.

Performance Engineering

Understand and optimize end-to-end systems performance to deliver high-quality digital operations and amazing customer experiences.

  • Gain Comprehensive Visibility
    Monitor and analyze all aspects of your IT ecosystem to ensure seamless user experience and operational reliability.
  • Simplify and Accelerate IT Operations
    AIOps enhances decision-making and productivity by automating operations and identifying root causes of issues rapidly.
  • Implement AI for Intelligent Monitoring
    Utilize AI to drive efficiency in operations and provide deep insights into performance metrics.
  • Achieve Continuous Improvement
    Implement ongoing enhancements to ensure optimal operational efficiency and mission success.
  • Optimize User Interactions
    Leverage frameworks that focus on enhancing the quality of digital services and elevating user experiences.
  • Enhance System Reliability
    Employ SRE principles to improve system reliability and performance, aligning IT service with business objectives.

Cybersecurity

Mature and streamline your cybersecurity capabilities to secure and defend your agency against the most sophisticated threats.

  • Enhance Security Readiness
    Improve the overall security posture by developing robust, mature cybersecurity frameworks tailored for specific agency needs.
  • Secure Against Advanced Threats
    Implement cutting-edge defenses to protect against a wide range of cyber threats, ensuring continuous protection and readiness.
  • Implement Zero Trust Approach
    Establish stringent access controls to minimize risks and enhance security across all agency networks.
  • Achieve Compliance Standards
    Align with NIST, CISA, and other regulatory frameworks to uphold the highest standards of cybersecurity compliance.
  • Protect Sensitive Information
    Implement advanced data security measures to prevent data breaches and unauthorized access to sensitive information.

Data and AI

Make your data accessible, understandable, linked, and trustworthy to deliver fast intelligent decisions across all levels of your organization.

  • Facilitates Easy Access
    Enables all team members to quickly retrieve necessary data, improving productivity and collaboration.
  • Connects Disparate Data Sources
    Enhances the coherence of information, allowing users to extract valuable insights swiftly.
  • Builds Confidence in Data
    Guarantees the integrity of information, essential for compliance and successful operations.
  • Accelerates Decision-Making
    Enables rapid responses to opportunities and challenges, optimizing organizational responsiveness.
  • Enhances Data Comprehension
    Clarifies complex data to empower users of all skill levels to make informed decisions.
  • Speeds Up Time to Market
    Transforms concepts into operational models in days rather than months, increasing agility.
  • Streamlines Data Management
    Facilitates the smooth flow of information between systems, enhancing operational efficiency.

Gen AI Security

Gen AI Security provides comprehensive protection for generative AI applications and large language models (LLMs). It targets unique security risks, ensuring safe deployment and governance of AI technologies in public sector operations. This platform integrates advanced security measures, aligning with frameworks like NIST and OWASP to secure sensitive data and facilitate compliance with regulatory standards.

  • Ensure Safe Deployment
    Gen AI Security allows agencies to seamlessly integrate and monitor AI tools while enforcing strong security policies to safeguard sensitive data.
  • Mitigate Security Risks
    By identifying irregular outputs and potential exploits in real-time, agencies prevent data breaches and ensure the integrity of AI processes.
  • Guard Critical Processes
    Runtime protection acts as a safeguard, ensuring that generative AI applications are secure while in operation, significantly reducing risks of exploitation.
  • Simplify Compliance Management
    Lasso's features connect various teams to ensure holistic security policies and compliance with established guidelines, thus enhancing overall governance.
  • Customize Security Solutions
    Adaptable frameworks ensure that agencies can implement Gen AI Security according to their specific needs and existing infrastructure.
  • Align with Best Practices
    Gen AI Security integrates industry standards to build a proactive security posture tailored for the complexities of AI technologies.

References

Methodology and sourcing behind the market figures shown above.

Cybersecurity and zero trust

Primary search results show consistent industry estimates for the broader zero‑trust security market in the tens of billions USD with high mid‑teens CAGRs. I used the Mordor/ExpertInsights figure for 2025 ($38.37B) and its 17.7% CAGR as the primary estimate, while noting SNSInsider and MarketsandMarkets (ZTNA as a smaller subsegment) which report similar multi‑billion baselines and mid‑teens to mid‑20s growth rates for subsegments.

GenAI application security and governance

Estimate blends recent market reports for AI governance and generative‑AI security. Published estimates vary: AI governance broadly ranges ~$0.25–0.84B (2025) while generative‑AI security reports show ~$1.12–1.30B (2025–2026). Given the narrower GenAI application security scope (runtime protection, classification, policy enforcement) overlaps both categories and benefits from regulatory mandates and rapid LLM adoption, a 2026 market size of ~USD 1.3B and a high growth profile (~30% CAGR) is a conservative midpoint between reported CAGRs (≈14%–45%).

Data management and MLOps

Primary sources in the search results report the standalone MLOps market at roughly USD 2.4–3.13 billion (2024–2025) with strong projected growth (reported CAGRs ~37–39.8%). I used these MLOps market figures as a proxy for the "Data management and MLOps" segment (data management components not separately reported in the results) and estimated a current market size of about USD 3.0 billion and a growth potential (CAGR) of ~38%, reflecting the consensus of the cited market reports.

Cloud modernization and DevSecOps

Primary estimate uses ResearchNester’s DevSecOps market figures: global market size of USD 11.4 billion in 2026 with a 14.2% CAGR (2027–2036). MarketsandMarkets’ US cloud computing outlook (USD 721.3 billion by 2030 at 8.2% CAGR) is cited to contextualize a much larger cloud modernization addressable market that supports sustained demand for DevSecOps and modernization services.

Observability and AIOps

Estimate synthesized from cited market reports: AIOps platform estimates range from ~USD 10.5B (2024) to USD 16B (2025) and show high CAGR (≈18–21%). Observability/tools estimates are smaller (~USD 2.5B in 2023) with mid-single-digit-to-low-teen CAGRs (≈10–13%). Network-observability niche adds ~USD 3.3B (2025). Combining AIOps (dominant and faster-growing) with observability tooling (smaller, slower growth) yields a combined 2024–2025 TAM estimate ~USD 18–20B; chosen value USD 18.5B. Growth potential weighted toward AIOps momentum gives an overall CAGR estimate ~18% (reflecting multiple cited CAGRs and the higher weight of AIOps growth).

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