Welcome to the CISOware Home Page!
Our product is called Reflex. It was designed for incident response. If you would prefer to jump right into the product, click on the button to watch the videos.
CISOware Corporation is an Information Security Software as a Service company. CISOware created and maintains the Reflex Incident Response platform. Technically, Reflex makes CISOware a cross between a traditional software company and a SaaS. The Reflex platform includes a Windows desktop application which is used to configure the system, and mobile applications that are generated by the system and delivered to mobile devices. The backend provides the functionality that these applications need.
The majority of the Reflex platform is patent-pending proprietary technology developed specifically for Reflex. CISOware’s parent company is GRAYBELT Innovations. GRAYBELT develops the technology behind Reflex.
Reflex began in 2010 with a chance meeting of old acquaintances at a security briefing in Boston. The men who were at the meeting had not seen each other for many years. We all had been in technology since the beginning and had participated in the development of connectivity and eventually the field of information security. The meeting we were attending was a discussion about issues resulting from an increase in hacking. A study had been conducted that determined the most effective weapon against hackers was a more efficient incident response. The number one problem with incident response was that the response plans were paper-based documents, now stored on servers. When an incident was declared, unless these plans had been printed, they were unavailable during the incident. These plans are always being changed and most companies did not have the discipline to ensure incident responders had copies of the document.
The initial goal of this project seemed simple enough: figure out a way to eliminate paper. It seemed logical that storing plans on mobile devices would be a solution. But this had been attempted with PDF documents which were designed for desktops and very difficult to manipulate on a mobile device. As simple as it may sound, one challenge after another led to the invention of an AI that understood human behavior. This was more than 10 years ahead of ChatGPT. As it happens, the leader of this effort was Craig Brown, who was a longtime software developer and created the first commercially available AI 20 years prior.
The AI in Reflex is very different than modern AI. Much closer to real intelligence, but it does not have the ability to communicate in a human language. The resources for this were not available and, as can be seen by the billions of dollars being poured into it now, it was beyond the resources of a small company.
CISOware is not an AI company. It is an information security company that uses a proprietary AI to perform functions unavailable in any other application. Reflex does not replace any existing software—it is completely unique in a new category. It does not fit what is currently defined as incident response software. Software in this category performs some functions but they are not really incident response.
Design of the Reflex platform was done by this small group of men. Though small in number, their combined experience was well over 300 years. It required almost 10 years to build, by a very senior developer with 47 years of coding experience. To say it is complicated is an understatement. But the system all came together and grew into something much greater than anyone expected. And it is all running on the latest version of .NET (included here in case the word obsolete appeared in anyone’s mind).oral data that current AI systems lack.
The platform is built on the GRAYBELT architecture, owned by GRAYBELT Innovations. CISOware Corporation, a wholly-owned subsidiary, focuses specifically on information security applications. But the underlying technology creates new possibilities across every field where human expertise must be coordinated, optimized, and preserved.
My secret recipe for disruption
Step1: Find a problem that can be solved by following a list of instructions. If possible, find a problem that has no alternative solution. Best case, find a problem where a solution would greatly benefit the people being affected by the problem.
Step 2: Create a mobile application that can solve what was believed to be, an unsolvable problem. Make it so valuable to management that they require its use but at the same time people want to use it.
Step 3: Have the mobile application record every detail of what happened during the remediation as well as data about how much time was required. Link this data to the exact instruction that was being followed at the time. Make note of the people that completed the instruction.
Step 4: “Quantify” the people. Describe the people in a way that the large language model AI can understand. The LLM doesn’t understand names and labels, remove all identifying information. Combine with all collected data.
Step 5: Convert to an incorruptible data format (Pat. Pend) that includes its own structural map, allowing future systems to reconstruct the data even after programmer errors or format changes. Add to archive in a format easily understood by another AI… Building the bridge between human expertise and artificial intelligence.
Reflex is difficult to explain
Rather than dry explainer videos, the videos below are an attempt to make understanding Reflex entertaining. While not studio-polished, they push desktop video tools to their limits.
The Reflex Platform
Reflex: A New Class of Application
This reveal video is the first public look at a decade-long effort.
Reflex: Explained by a Baby
A light-hearted attempt to explain one of the core ideas behind Reflex.
Reflex: Video Podcast
Straight from hurricane Irma, how Reflex revolutionizes Situation Response, and how Reflex provides the missing link between human activity and AI
Platform Components
Reflex: The Reflex Builder
The Reflex Builder application is where the user explains to the AI how he or she wants the incident response to be handled. The end result is a mobile application that manages the response as if its creator was there.
Reflex: Mobile App Demonstration
A demonstration of the custom mobile application that Reflex generates. Whether you’re dealing with a physical emergency, a digital attack, or a large-scale operational disruption, Reflex adapts in real time to deliver clarity when it’s needed most.
Use Cases
Quick slideshow that covers the base material as the above video. You will learn more from the video, but if you don’t have time this is faster.
This visual presentation outlines how the platform supports business continuity, cybersecurity, emergency response, and operational planning — all in one unified system.
Fun
Reflex in the Matrix
You probably didn’t notice, but they were using Reflex in the Matrix.