A I I N
C Y B E R S E C U R I T Y
Nikhil G R
(TCS - BITMAP team)
02/11/2026 1
02/11/2026 2
W H A T I S A I F O R C Y B E R S E C U R I T Y ?
• Artificial Intelligence (AI) in Cybersecurity plays a crucial role in safeguarding online systems
from cyber threats.
• AI for cybersecurity uses AI to analyze and correlate event and cyberthreat data across multiple
sources, turning it into clear and actionable insights that security professionals use for further
investigation, response, and reporting.
• AI systems can be trained to enable automatic cyber threat detection, generate alerts, identify
new strands of malware, and protect businesses sensitive data.
02/11/2026 3
Data Quality Transparency and
Explainability
Privacy Concerns
Scalability
K E Y F A C T O R S T O C O N S I D E R W H E N
I M P L E M E N T I N G A I I N C Y B E R S E C U R I T Y
Continuous Learning
02/11/2026 4
Password protection
and authentication
Phishing detection and
prevention control
Vulnerability management
Network security
A P P L I C A T I O N S O F A I I N C Y B E R S E C U R I T Y
Behavioral analytics
02/11/2026 5
B E N E F I T S O F A R T I F I C I A L
I N T E L L I G E N C E ( A I ) I N M A N A G I N G
C Y B E R R I S K S
02/11/2026 6
R I S K S A N D D I S A D VA N T A G E S O F A I I N
C Y B E R S E C U R I T Y
• Vulnerability to AI Attacks
• Privacy Concerns
• Dependence on AI
• Cost of Implementation
• Domain Expertise Is Critical and Hard to Find
02/11/2026 7
T H A N K Y O U

AI IN CYBERSECURITY Best Practices for IT

  • 1.
    A I IN C Y B E R S E C U R I T Y Nikhil G R (TCS - BITMAP team) 02/11/2026 1
  • 2.
    02/11/2026 2 W HA T I S A I F O R C Y B E R S E C U R I T Y ? • Artificial Intelligence (AI) in Cybersecurity plays a crucial role in safeguarding online systems from cyber threats. • AI for cybersecurity uses AI to analyze and correlate event and cyberthreat data across multiple sources, turning it into clear and actionable insights that security professionals use for further investigation, response, and reporting. • AI systems can be trained to enable automatic cyber threat detection, generate alerts, identify new strands of malware, and protect businesses sensitive data.
  • 3.
    02/11/2026 3 Data QualityTransparency and Explainability Privacy Concerns Scalability K E Y F A C T O R S T O C O N S I D E R W H E N I M P L E M E N T I N G A I I N C Y B E R S E C U R I T Y Continuous Learning
  • 4.
    02/11/2026 4 Password protection andauthentication Phishing detection and prevention control Vulnerability management Network security A P P L I C A T I O N S O F A I I N C Y B E R S E C U R I T Y Behavioral analytics
  • 5.
    02/11/2026 5 B EN E F I T S O F A R T I F I C I A L I N T E L L I G E N C E ( A I ) I N M A N A G I N G C Y B E R R I S K S
  • 6.
    02/11/2026 6 R IS K S A N D D I S A D VA N T A G E S O F A I I N C Y B E R S E C U R I T Y • Vulnerability to AI Attacks • Privacy Concerns • Dependence on AI • Cost of Implementation • Domain Expertise Is Critical and Hard to Find
  • 7.
    02/11/2026 7 T HA N K Y O U