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analysis tools can analyze millions of lines of code in a fraction of the time it would take a human,
highlighting issues such as SQL injection, cross-site scripting (XSS), and buffer overflow vulnerabilities.
According to a report by MarketsandMarkets, the global AI in cybersecurity market is expected to grow
from $8.8 billion in 2019 to $38.2 billion by 2026, at a CAGR of 23.3%. This growth underscores the
increasing reliance on AI for tasks like vulnerability detection, which enhances organizations' overall
security posture.
Source: MarketsandMarkets
2. Predictive Analysis and Threat Modeling
AI excels in predictive analysis, allowing security teams to anticipate and mitigate potential threats before
they materialize. By analyzing historical data and identifying patterns, AI can predict which areas of an
application are most likely to be targeted by attackers. This predictive capability is invaluable for threat
modeling, a process where potential security threats are identified, quantified, and addressed during the
application's design phase.
Cyber Defense eMagazine – August 2024 Edition 90
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