Sentinels in Code: Unleashing the Power of Artificial Intelligence on Cyber Threats



The artificial intelligence in cybersecurity market size is valued at USD 22.4 Billion in 2023 and is anticipated to be USD 60.6 Billion by 2028; growing at a CAGR of 21.9% from 2023 to 2028. Factors such as the growing adoption of IoT and increasing number of connected devices, and increasing vulnerability of Wi-Fi networks to security threats are driving the growth of the market during the forecast period.

Key players in the artificial intelligence in cybersecurity market include NVIDIA Corporation (US), Intel Corporation (US), Xilinx Inc. (US), Samsung Electronics Co., Ltd (South Korea), Micron Technology, Inc. (US), IBM Corporation (US), Amazon Web Services, Inc. (US), Microsoft (US), Palo Alto Networks Inc. (US), Trellix (US), CrowdStrike (US), NortonLifeLock (US), Cylance Inc. (US), ThreatMetrix Inc. (US), Securonix Inc. (US), Sift Science (US), Acalvio Technologies (US), Darktrace (UK), SparkCognition Inc. (US), Fortinet (US), Check Point Software Technologies, Ltd (US), High-Tech Bridge (Switzerland), Deep Instinct (US), SentinelOne (US), Feedzai (US), Vectra Networks (US) Zimperium (US), Argus Cyber Security (Israel), Nozomi Networks (US), BitSight Technologies (US), and Antivirus companies such as Kaspersky Lab (Russia), Bitdefender (Romania), and ESET (US).

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Key Drivers:

  1. Rising Cyber Threats: The frequency and complexity of cyberattacks are on the rise. AI is instrumental in detecting and mitigating these threats in real-time.
  2. Big Data Analytics: The sheer volume of data generated by organizations makes it impossible for human analysts to sift through it all. AI can process and analyze this data quickly and efficiently.
  3. Automation: AI-driven automation enables rapid threat response and reduces the burden on cybersecurity teams.
  4. Zero-Day Attacks: AI can identify previously unknown vulnerabilities and threats, providing a proactive defense against zero-day attacks.
  5. Regulatory Compliance: Stricter data protection regulations and compliance requirements are driving the adoption of AI-based security solutions.

Applications:

  1. Threat Detection: AI algorithms can analyze network traffic, user behavior, and system anomalies to identify potential threats and vulnerabilities.
  2. Malware Detection: AI-driven anti-malware solutions can recognize and quarantine malicious software before it can cause damage.
  3. User Authentication: AI can enhance user authentication processes through behavioral analysis, biometrics, and multi-factor authentication.
  4. Phishing Detection: AI can identify phishing emails and websites by analyzing content and user interactions.
  5. Incident Response: AI automates incident response by quickly isolating compromised systems and initiating remediation actions.

Related Reports:

Artificial Intelligence in Cybersecurity Market by Offering (Hardware, Software, and Service), Deployment Type, Security Type, Technology (ML, NLP, and Context-Aware), Application (IAM, DLP, and UTM), End User and Geography — Global Forecast to 2028

Contact:
Mr. Aashish Mehra
MarketsandMarkets™ INC.
630 Dundee Road
Suite 430
Northbrook, IL 60062
USA : 1–888–600–6441
sales@marketsandmarkets.com


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