Solution Brief
Transform data into trusted decisions with streaming AI for national security
IoT delivers real-time intelligence for decisive action in critical moments
The issue
Increasing complexity, volatility, digitization, mobility and limited resources make it essential for public sector agencies to gather and analyze operational data aligned with their mission. The national security, defense and law enforcement domains are often most acutely affected by these issues because of the key roles they play in protecting lives, assets and preserving order across broadly dispersed geographic areas.
Several global trends significantly influence mission planning and execution, including regional conflicts, inequality, extremism, organized crime, population displacement, climate change, cyberthreats, terrorism, public health crises and the mainstream embrace of AI. These factors collectively shape strategies across national security, defense and law enforcement domains.
The influence of these trends is further heightened by the increasing accessibility of high-speed, high-bandwidth mobile networks and cloud-based applications, which may be used for criminal or nefarious activities.
The challenge
National security, defense and law enforcement entities often have vastly different operating environments from region to region. Yet the common elements that point to solutions, such as AI-enabled IoT applications that address these issues, fall in three general categories.
Complexity and volatility
Technological advancements have enabled criminals to access new threat vectors in both traditional and remote locations, including ports, harbors, transportation hubs and critical infrastructure.
Digitization and mobility
Threat vectors in both physical and virtual realms are constantly evolving. Malicious actors increasingly use unmanned drones, ransomware, phishing and online exploitation to breach borders, disrupt supply chains and target vulnerable populations.
Resource constraints
Although other important demands compete for funding, these urgent issues require solutions that are cost-effective, compatible with current IT systems and promote transparency.
Our approach
SAS helps national security, defense and law enforcement agencies turn data from IoT sources into insights for faster, well-informed decisions using real-time intelligence.
We help put your operational data to work – maximizing productivity, improving readiness for uncertainty and enabling rapid responses to complex, evolving challenges.
- Improve outcomes with fast, intelligent decisions.
- Enhance operational efficiencies to expedite program delivery, achieve desired outcomes.
- Ensure optimal total cost of ownership with trusted partners and technologies.
- Build long-term trust with transparent and explainable decisions.
By helping leaders across these public sector domains collect and analyze real-time operational data, SAS enables confident insights that drive decisive action, improve program delivery and achieve desired outcomes.
SAS difference
Using SAS and IoT devices, national security, defense and law enforcement agencies gain clear visibility across their entire operational environment, delivering the following distinct advantages:
- Fast, automated, closed-loop process integrations from easy connectivity to existing business processes or any streaming data source, including legacy or proprietary sources and cloud IoT platforms.
- Native integrations with legacy systems, key third-party and open source technologies to ensure existing investments are maintained.
- Lightweight, portable runtime for operationalization of insights based on the needs at hand – on the edge, cloud or hybrid.
- Extensible architecture to support partner development and go-to-market solutions.
- Auto-scalable Kubernetes-based runtime that supports diverse analytical needs – time series, computer vision, acoustic and others.
- Horizontal and vertical runtime elasticity with high availability and fault tolerance support.
- Rapid, confident model optimization using both SAS and open source analytic capabilities and automated machine learning to quickly generate and validate ethical models.
- Optimal decision-making recommendations using the widest range of high-performance analytics and explainable AI that fosters trust by providing transparent insights and ensures AI systems are interpretable, ethical and compliant.