Brochure describing the dzAudit AI platform from Decision-Zone Inc. for autonomous decision-making.

1. Next Generation AI Platform for
Autonomous Decision-Making
Smart Cities 5.0 and Driverless Vehicles
decision-zone.com

2. The IoT & The Cloud Drive the New Economy
People, things, ideas... are all connected by the IoT and the cloud, which are driving the new
digital economy. By 2020 there will be over 50 billion networked devices and over 20 billion will
be connected to IoT endpoints. Each of these devices is designed to collect, share, and deliver
information on demand. With current information management technologies real world activities
are managed indirectly using data-driven deep machine learning technologies. However, the road to
success in this uber-connected world is to develop a next generation of information management
system that monitors real world activities directly. To do this, the hyper-connected enterprise must
create new policies and implement comprehensive contextual business processes that re-define the
Interaction of real world on-line business activities. These policies must be monitored for autonomous
decision-making to deliver maximum service levels. This is the only way that people can work and
interact securely, safely and efficiently in this new economy.
decision-zone.com

3. Conventional VS. Autonomous Decision-Making
decision-zone.com

4. About Decision-Zone
Decision-Zone technology is a transformative, message-centric solution for real-time information
management and cyber security decisioning. Decision-Zone monitors real world activities directly
using business logic derived from policies. Decision-Zone’s Deep Message Inspection (DMI) detects
and remediates threats and exceptions in real time, on the message bus – before they compromise
your business. Decision-Zone’s autonomous decision-making applications recognize deviations from
business logic, instantly alerting you to malware/insider attacks, device defects, administrative and
operator errors.
Organizations, Smart Cities or Things Need Rapid Automated Online
Decision-Making for Securing and Managing Policies
To secure and manage the volume of transactions that the emerging hyper-connected world
generates, live autonomous decision-making systems are critical. Only with this approach can non-
compliant activities be detected in real time, so that organizations, smart cities and things can
immediately remediate to assure their service levels. Currently, data processing approaches using
business intelligence and artificial intelligence technologies require substantial support from teams of
highly skilled data scientists and IT system analysts to execute non-autonomous decision-making. The
maximum levels of autonomy that can be achieved with this outdated data processing approach is 2.5
which is not sustainable for smart cities and vehicles, as opposed to the desired level of 5.
decision-zone.com

5. Decision-Zone’s Autonomous Decision-Making System Makes Smart Cities
& Vehicles Secure and Efficient
Only with Decision-Zone’s dzAudit platform is it possible to build live autonomous decision-making
applications that can detect malicious malware and insider activities or other activities that do not
conform to the assigned performance service levels. And the dzAudit platform achieves this without
any human interventions using its patented business logic monitoring technology. With dzAudit,
human resources can be dedicated to proactive response and remediation. This is a leap forward from
today’s environment where large portions of IT staff are still dedicated to analyzing data to identify
security and fault indicators. This approach requires extensive human resources to audit and identify
fault causation and it is quite common that even with all this effort the end result may prove to be a
costly false positive situation. With Decision-Zone’s autonomous decision-making system smart cities
and vehicles can achieve level 5 autonomy, enabling maximum security and service level assurance,
with low cost of ownership and no false positive issues.
With dzAudit, Smart Cities
ERP Systems Can Achieve
Level 5 Autonomy.
Current ERP integrates business
processes into a single database
management system. This means
that businesses can only make
historical data-driven decisions to
manage performance. By
comparison, dzAudit’s autonomous
applications monitor business
processes directly. This results in
real time security and performance
decisions about non-compliant
business activities that attempt to
impact the enterprise. With dzAudit
installed current ERP systems can
achieve level 5 autonomy.
SMART CITY 5.0
Maximum Service Levels Maximum Service Levels
Reduction in
Operational Costs
Reduction in
Operational Costs
Transactions Secured
in Real Time
Transactions Secured
in Real Time
Increased Privacy,
Governance, Compliance
Increased Privacy,
Governance, Compliance
Smart Data for Policy
& Process Improvement
Smart Data for Policy
& Process Improvement
decision-zone.com

6. With dzAudit automobiles can now achieve level 5 autonomy.
An integral part of smart cities is the autonomous vehicle. The greatest achievement for autonomous
vehicles is to fully automate human driver perceptions and act autonomously on identified exceptions
or failures. With artificial intelligence technologies, as the autonomy of unmanned vehicles increases,
it becomes more difficult for algorithms to monitor and identify anomalous states in a timely manner.
To solve this major challenge, dzAudit uses autonomous, model-based diagnoses and fault-detection
applications to recognize any failure or obstructions instantly, for immediate proactive remediation.
With dzAudit automobiles can now achieve level 5 autonomy.
0 2 41 3 5
DRIVER
ONLY
PARTIAL
AUTOMATION
HIGH
AUTOMATION
DRIVER
ASSISTANCE
CONDITIONAL
AUTOMATION
FULL
AUTOMATION
Human driver
required 100% of
the time.
The vehicle is in full
control in certain
situations. Will
monitor the road
and grid to alert
driver to take over.
The vehicle can
assist the driver.
Lane guidance,
cruise control.
The vehicle can
take an entire trip.
Option for human
interaction.
The vehicle can
take over lane
guidance, speed &
positioning.
The vehicle is in
control 100% of
the time. No
human is required.
decision-zone.com