[KS 2] AI and Cybersecurity AI Expo 2024.pdf

Kapita Selekta 2: Amankah AI? (AI + CyberSecurity)
Narasumber: Kalpin E. Silaen, S.Si., M.Kom., CISSP, CEH, ECIH, ECSA, CHFI

AI-4-GOD! Expo 2024 adalah lokakarya/seminar sehari yang membahas mengenai pemikiran dan penggunaan teknologi dalam bidang kecerdasan buatan (AI) bagi kemuliaan Tuhan.

Materi ini akan menjelaskan tentang bagaimana tetap aman secara online dalam era AI.

Silakan kontak WA Admin di 0821-3313-3315 atau email di [email protected] untuk informasi lebih lengkap!

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AI and Cybersecurity: A
Swiss Army Knife?
Image source: Linkedin

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About Me
•Full name: Kalpin Erlangga Silaen
•Email: kalpin[at]gmail dot com
•I am lecturer, researcher, and security consultant professional
•Research interest: Information and Data Security, Digital Forensics, Deception Techniques
and Tools, Security Assessment

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AI Definitions
(too many so
lets give
some)
ISO/IEC 22989:2022: “Engineered system that generates
outputs such as content, forecasts, recommendations or
decisions for a given set of human-defined objectives”
NIST AI Risk Management Framework: “an engineered or
machine-based system that can for a given set of objectives,
generate outputs such as predictions, recommendations, or
decisions influencing real or virtual environments designed to
operate with varying level of autonomy”
The Council of Europe: “brings together sciences, theories
and techniques (including mathematical logic, statistics,
probabilities, computational neurobiology and computer
science) and whose goal is to achieve the imitation by a
machine of the cognitive abilities of a human being.”

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AI Definitions
(too many so lets give some)
•UNESCO: “Information-processing technologies that
integrate models and algorithms that produce a capacity
to learn and to perform cognitive tasks leading to
outcomes such as prediction and decision-making in
material and virtual environments. AI systems are
designed to operate with varying degrees of autonomy by
means of knowledge modelling and representation and
by exploiting data and calculating correlations. AI systems
may include several methods, such as but not limited to:
(i) machine learning, including deep learning and
reinforcement learning; (ii) machine reasoning, including
planning, scheduling, knowledge representation and
reasoning, search, and optimization”
•And many more…

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Let’s get keywords
By Automation: varying levels of
autonomy (from a little bit
interaction with human to fully
automated)
By Outputs: Content,
Predictions, Recommendations,
Decisions
By Technology: Machine
Learning/Reasoning, Algorithm
based, logic and
knowledge-based, neural
network
Human Factor: Define
objectives, providing data and
inputs or human does not need
anymore

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AI in Its
Timeline

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Rising as part of Industry 4.0

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AI Development
Predictions, analysis
and insights
User experience: real-time voice
recognition and conversation
Biometric authentication,
helping disable and monitoring
Employing multi-layered neural
network for complex tasks
Recognize patterns, make
decisions, and solve complex
problems
Mimic human thought processes,
helping solve complex problems

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How AI Works
Source: Springerlink
Data Source

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AI usage in cybersecurity field
•Face Recognition
–KYC
–Authentication
–Authorization
–Tracking

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Example: AI for Predictions

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AI usage in cybersecurity field
•Development
–Source code analysis
–Automation penetration testing
–Threat modeling
–Create new application
–Create new malware, phising, automation attack, etc

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Source Code
Analysis (1/2)

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Source Code
Analysis
(2/2)

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Cheating ChatGPT
(1/2)

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Cheating ChatGPT
(2/2)

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AI for
Cybersecurity
•Identifying security
assessment faster
–Identification,
analyzing and
responding security
threats
•Creating application
faster
•Antifraud – KYC detection
•Enhance data processing
for security analyst

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Misusing of AI
•Can be abuse by defeating the logic
•Data could be poisoned with fake data (data
quality)
•Can be used by attacker to generate new
malware
•Data privacy (face recognition, and other
behavior in public area)
•Helping attacker to enhance their attacks (e.g.
AI-driven brute force attacks)
•Creating Hoax (e.g. deepfake, deep voice, etc)
•Automated phising attacks
•Ethic issues

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Let’s create a
ransomware using
ChatGPT (1/3)☺

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Let’s create a
ransomware using
ChatGPT (2/3) ☺

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Let’s create a
ransomware using
ChatGPT (3/3) ☺

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Example Deep Fake: Misusing AI
https://www.youtube.com/watch?v=Wrald_EZ
gDQ

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Conclusion
AI as a powerful
and
multi-purpose
tool just like a
Swiss Army Knife
due to flexibility,
adaptability, and
develop
directions can
help human to
improve life
quality but also
AI create some
issues in security.
AI algorithms
may contain
biases.
Using
unrestrained data
can lead to
privacy concerns
and ethic issues.
Misuse by
malicious users
for cyberattacks,
creating hoax,
and other
unethical
activities
Government
need to regulate
AI usage
As personal, need
to adapt, learn,
and aware about
AI with digital
literacy
Last but not least:
AI is a
technology that
is not above
humans, nor
equal to humans,
but rather below
humans as a tool

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Recommendation
•Develop regulation to mitigate negative impacts of AI
•Provide solution for workers affected by AI
Government and Organization
•Privacy awareness
•Enhance digital literacy and understanding of AI
•Continuous Learning and Skill Development
Personal

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Q & A
?