What Is Agentic AI
Agentic AI refers to autonomous systems that can think, decide, and act without human input.
In physical security, this transforms passive cameras into active responders that detect threats and initiate action immediately. Unlike traditional AI systems that simply flag alerts for review, Agentic AI uses advanced models to analyze situations and manage complex tasks in real time.
This shift is redefining how organizations approach monitoring, deterrence, and incident response.
The Shift to Autonomous Security
Agentic AI is redefining security by acting faster than human monitoring ever could. By combining computer vision, large language models, and reinforcement learning, autonomous systems can perceive environments, reason through events, and initiate responses.
According to Frost & Sullivan, the global surveillance solutions market is experiencing rapid growth fueled by AI-driven analytics and real-time monitoring capabilities. Organizations are investing heavily in smarter systems that can keep pace with evolving threats.¹
As security demands grow and operational complexity increases, autonomous response is emerging as a practical solution.
Industry Parallels
Agentic AI is not limited to security.
Across industries, autonomous systems are already improving operational decision-making.
In logistics, AI reroutes shipments around delays and disruptions.
In retail, AI analyzes behavior patterns to personalize customer experiences.
In manufacturing, AI detects equipment anomalies before failures occur.
These examples highlight the environments where agentic AI performs best: situations where speed, accuracy, and continuous monitoring are essential.
Security Market Impact
The global physical security market is projected to reach $500 billion by 2026, according to a joint report by the Security Industry Association (SIA) and ASIS.²
As the industry grows, organizations face rising costs for staffing, monitoring, and infrastructure. Agentic AI offers a way to scale security operations without scaling labor.
By integrating with existing cameras and sensors, autonomous systems provide continuous monitoring while reducing dependence on manual processes.
How Autonomous Security Works
Agentic AI operates through three core capabilities.
⤷ Alert processing
Real-time alerts from cameras and sensors are analyzed to identify anomalies such as loitering, intrusion, or restricted-area access.
⤷ Situational reasoning
Advanced models evaluate the situation and determine the appropriate response, whether issuing warnings or escalating incidents.
⤷ Immediate response
Systems activate deterrents, trigger alerts, or initiate communication with security teams instantly.
This architecture transforms traditional monitoring environments. Unmonitored cameras become active security points, and GSOCs become far more efficient by focusing only on verified incidents.
SARA and Autonomous Incident Response
RAD’s SARA (Speaking Autonomous Responsive Agent) represents one example of this shift toward autonomous security operations.
Introduced in 2024, SARA applies RAD’s Autonomous Intelligent Response (AIR™) technology to automate key security workflows.
SARA’s capabilities include:
⤷ Immediate intervention
SARA analyzes video and sensor inputs and delivers voice-down warnings or escalations instantly.
⤷ Simultaneous notifications
Security teams, managers, and authorities can be notified at the same time, eliminating delays caused by sequential communication.
⤷ Comprehensive event documentation
Every incident is automatically logged with timestamps, visual evidence, and response records.
In early deployments, organizations have used SARA alongside RAD devices to improve response times and reduce operational costs across logistics sites, campuses, and commercial facilities.
Industry Momentum
Autonomous systems are gaining traction across the broader technology landscape.
⤷ SARA recognition
RAD’s SARA platform received the 2025 SIA New Products and Solutions (NPS) Judges’ Choice Award for innovation in autonomous monitoring.³
⤷ Rising adoption
An EY Technology Pulse Poll found that nearly half of technology leaders are already adopting or deploying agentic AI solutions.⁴
⤷ Strategic integration
Major cybersecurity platforms are integrating agentic AI capabilities to automate threat analysis and reduce operational workload.⁵
These developments highlight a broader industry movement toward autonomous decision-making systems.
The Future of Autonomous Security
Agentic AI is turning cameras from passive recorders into active security assets.
As industries such as logistics, retail, and manufacturing adopt autonomous systems, security operations are evolving as well.
Instead of relying solely on human monitoring, organizations can deploy systems capable of identifying threats and responding immediately.
The world may not be getting safer.
But it can be getting smarter.
Agentic AI transforms security from passive observation into active defense.
SARA is only the beginning.
Explore how autonomous security is evolving at radsecurity.com/sara
David Marsh
VP Marketing
Robotic Assistance Devices (RAD)
Discover how RAD is shaping the future of security at radsecurity.com
Sources
¹ Frost & Sullivan, Growth Opportunities in the Surveillance Solutions Market, Global, 2025–2030
https://store.frost.com/growth-opportunities-in-the-surveillance-solutions-market-global-2025-2030.html
² SIA-ASIS, Complexities in the Global Security Market: 2024 Through 2026
https://www.securityindustry.org/report/complexities-in-the-global-security-market-2024-through-2026/
³ Security Industry Association (SIA), 2025 SIA New Products and Solutions Awards
⁴ EY, 2025 Technology Pulse Poll: Agentic AI Adoption
⁵ Axios, Microsoft and CrowdStrike Integrate Agentic AI for Security Platforms
