Beyond Safety: Designing for Efficiency in Modern Security Operations
Johann Hauswald, PlixAI, CALSAGA Network Partner
For years, innovation in private security has focused on one priority: frontline safety. That focus isn’t going away, but it’s no longer enough.
The firms pulling ahead today aren’t just asking, “Are our officers safe?” They’re asking, “Are we operating efficiently at scale?” Not as a tradeoff, but as a force multiplier.
The Challenge: Capturing What Matters
Officers generate hours of activity every shift, yet much of what happens on-site remains difficult to document consistently. Recording is often manual, reporting is time-consuming, and critical moments can be missed entirely.
This isn’t unique to private security. Research on body-worn cameras in policing shows that while cameras improve transparency and evidence collection, their impact depends heavily on how consistently they are used and how easily footage can be accessed and reviewed.
In practice, many organizations still face:
- Incomplete or inconsistent incident documentation
- Time lost reviewing footage or writing reports
- Limited visibility for clients into what actually happened
A Simple Shift: Automating the Moment of Capture
One of the most practical ways technology is improving both safety and efficiency is by removing the need for manual recording decisions altogether.
For example, body-worn cameras can automatically begin recording when an officer enters a designated site or geofenced area – and stop when they leave.
But the real value isn’t just automation – it’s integration.
- Scheduling systems (where officers are assigned)
- Dispatch tools (call-offs, site changes, coverage gaps)
- Tour and patrol systems (checkpoints, routes, activity logs)
…recording becomes aligned with operations, not just location.
That changes the equation:
- Coverage becomes consistent across assigned shifts – not just when a button is pressed
- Every site interaction is tied back to a specific post, time, and officer
- Supervisors get a complete, auditable record across systems – not fragmented data
Recording Isn’t the Goal – Connected Insight Is
As research has shown, body-worn cameras generate large volumes of unstructured video, creating a new challenge: how to efficiently extract value from it.
The next wave of innovation is about connecting these layers:
- Footage tied to incident reports automatically
- Activity linked to specific sites and shifts
- Searchable history across video, logs, and reports
This shift – from recording to understanding – is where efficiency gains begin to compound.
Efficiency That Supports Safety
Efficiency in this context isn’t about doing more with fewer people at the expense of quality. It’s about enabling teams to:
- Respond faster
- Document more accurately
- Provide clearer, defensible reporting
Studies suggest that body-worn cameras can contribute to incremental improvements in operational efficiency, but the real impact comes from how organizations integrate them into workflows.
And increasingly, that’s what differentiates firms – not just whether something was handled well, but whether it can be proven clearly and quickly.
Looking Ahead
As the industry evolves, the most impactful technologies will be those that quietly remove friction from day-to-day work.
Because in modern security operations, success isn’t just about whether incidents are handled safely – it’s about whether teams can operate consistently, efficiently, and with full visibility into what’s happening on the ground.
Johann Hauswald is the Founder and CEO of Plix AI, a startup developing AI-enabled body cameras and safety analytics software for private security and field-operations industries. Plix is backed by Sequoia Capital, Andreessen Horowitz (a16z), and the founders of Samsara and Verkada.
Johann earned his Ph.D. in Computer Engineering from the University of Michigan, where he specialized in AI at the edge and computer vision. Before founding Plix, he was a postdoc at Stanford working on large-scale video analytics and edge inference systems and previously co-founded a venture back AI company building conversational AI systems. His work sits at the intersection of AI, safety, and real-time video intelligence, advancing how organizations detect and respond to incidents in the physical world.