Russia's cyberwar tactics in Ukraine provide a blueprint for future attacks. Current systems have no control over run-time risks from malicious code, faults, or unexpected events. A new approach called actionable intelligence uses artificial intelligence and neuromorphic applications to detect and prevent risks in real-time. This protects data and systems by eliminating run-time risks before damage occurs. Actionable intelligence is needed for edge computing and IoT to ensure autonomous applications like self-driving cars are safe and error-free.

1. Russia’s Cyberwar
over Ukraine is a
blueprint for what’s
to come
Currently governments
have no actionable
control over Run-Time
space

2. Non-Actionable
Intelligence
Run-Time Risk

3. ActionableIntelligenceNeuromorphic
ApplicationsProtectYourData and
EliminateRun-TimeRisks
ACTIONABLE
INTELLIGENCE
ARTIFICIAL
INTELLIGENCE
EVENT
MANAGEMENT
DATA MANAGEMENT
5.0
RealTimeIntelligence5.0

4. Work Code
Systems Technology Infrastructure (Internet of Everything)
• Sources of Run-Time Risk
events are bad executing work
code or instruction sets,
operational faults and system
faults.
• Run-Time Risk events do not
conform to business logic.
• Current 3GL programming
language applications cannot
identify and remediate Run-
Time Risk events.
Non-Actionable
IntelligenceRun-Time
Risk&GlobalUnknowns

5. ActionableIntelligenceis
NotDeployedToday!
• Like the human brain, DZ’s 5GL
programming language builds
actionable intelligence
applications to avert hacks and
other high-risk intrusions before
they are accepted into data
intelligence silos.
• DZ’s Run-Time Neuromorphic
Actionable Intelligence
software/chip detects bad
executing code and faults to
eliminate run-time risks and
protect your data.

6. ActionableIntelligence
Applications…theNext
GenerationInvestment
• Neuromorphic actionable
intelligence applications are
needed for edge data centers
and the IoT.
• Ninety day deployment cycle
per business process
• You can protect “deep” data,
eliminate risk and gain
operational visibility with DZ’s
run-time risk anomaly
dashboards.
NEUROMORPHIC CHIPS

7. Actionable Intelligence for Autonomous Applications
AUDIT-TIMERUN-TIME
• DZ’s run-time neuromorphic thinking unit is needed to make autonomous self driving applications safe and error free.
• Today’s approach uses AI or Data Intelligence post-processing which have issues with performance and accuracy as
they run in audit time not run time.