BANGALORE, India, June 24, 2024 /PRNewswire/ -- AI Vulnerability
Scanning market is Segmented by Type (On-premises, Cloud-Based), by
Application (SMEs, Large Enterprise): Global Opportunity Analysis
and Industry Forecast, 2024-2030.
The global AI Vulnerability Scanning market was valued at
USD 3121.56 million in 2023 and is
anticipated to reach USD 7,574.30
million by 2030, witnessing a CAGR of 13.52% during the
forecast period 2024-2030.
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Major Factors Driving the Growth of AI Vulnerability
Scanning Market:
The market for AI vulnerability assessment is being pushed by
the growing requirement for strong cybersecurity defenses against
increasingly complex and dynamic cyberthreats. AI-specific
vulnerabilities are becoming more likely as organizations use
machine learning (ML) and artificial intelligence (AI) more
extensively, which calls for the use of specialized scanning
solutions. AI vulnerability scanners use cutting-edge algorithms to
find and fix security flaws in AI models, shielding against
criminal activity, data breaches, and adversarial attacks. The
demand for AI vulnerability screening tools is being driven
primarily by the increasing awareness of AI security concerns,
regulatory constraints for strict data protection, and the
integration of AI across multiple sectors, including banking,
healthcare, and automotive. Furthermore, improvements in AI and ML
methods boost these scanning solutions' efficacy and propel the
market forward.
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TRENDS INFLUENCING THE GROWTH OF THE AI VULNERABILITY
SCANNING MARKET
Because cloud-based AI vulnerability scanning provides scalable,
effective, and all-encompassing security solutions, it is driving
the growth of the AI vulnerability scanning market in major
companies. By constantly monitoring and analyzing enormous volumes
of data across enterprise networks, these cloud-based systems make
use of cutting-edge AI algorithms to spot possible vulnerabilities
in real time. Large businesses can effectively manage security
across different and complex IT infrastructures thanks to the
flexibility and scalability of cloud solutions, which guarantees
strong defense against constantly changing cyber threats.
Furthermore, cloud-based platforms' centralized architecture makes
it simpler to integrate and upgrade with pre-existing security
frameworks, which improves overall resiliency. The market is
expanding significantly as a result of large organizations
prioritizing cybersecurity and the increased need for advanced,
AI-driven vulnerability detection solutions.
The market for AI vulnerability scanning is primarily driven by
the rise in complex cyberthreats. Organizations are becoming more
cognizant of the necessity for sophisticated security measures as
cyber threats escalate in complexity and frequency. When it comes
to identifying and countering these contemporary threats,
traditional vulnerability scanning techniques frequently fall
short. Real-time detection and prediction analysis capabilities are
provided by AI-powered vulnerability scanning solutions, which can
detect possible security breaches before they happen. Organizations
must make significant investments in AI-based security solutions in
order to preserve business continuity and protect critical
data.
One major element propelling the market expansion for AI
vulnerability scanning is regulatory compliance. Tight laws are
being passed by governments and business associations across the
globe to guarantee cybersecurity and data security. Sufficient
observance of regulations like GDPR, HIPAA, and CCPA necessitates
ongoing security vulnerability reporting and monitoring. AI
vulnerability scanning systems offer thorough and automated
security assessments, which assist enterprises in meeting these
legal obligations. This ability not only guarantees compliance but
also lowers the possibility of fines and harm to one's reputation,
which motivates more companies to choose AI-powered security
solutions.
Another important element propelling the market for AI
vulnerability scanning is cost effectiveness. Conventional security
methods are resource-intensive and can require a large amount of
manual effort, which raises operational costs. The identification
and mitigation of security threats are automated by AI-powered
vulnerability scanning solutions, which minimizes the need for
significant human participation. Organizations save a significant
amount of money because of this automation, especially big
businesses with sophisticated IT infrastructures. Furthermore,
early vulnerability detection reduces the possible financial effect
of cyberattacks, which makes AI-driven solutions a financially
viable choice for companies.
The market for AI vulnerability scanning is expanding due in
large part to the need for real-time threat identification.
Real-time security threat detection and response is essential in
today's fast-paced digital world. Artificial intelligence
(AI)-driven vulnerability scanning solutions enable businesses to
quickly respond to possible threats by offering continuous
monitoring and instantaneous analysis of security weaknesses.
Reducing the effects of cyberattacks and preserving the integrity
of vital systems depend on this real-time detection capabilities.
Adoption of AI-based security solutions is driven by the increased
requirement for quick reaction to threats.
The market for AI vulnerability screening is being driven by
several factors, including increased accuracy and precision.
Conventional vulnerability scanning techniques can miss subtle
security risks and generate false positives. On the other hand,
AI-powered products use sophisticated analytics and machine
learning algorithms to pinpoint vulnerabilities extremely
precisely. This lowers the quantity of false alarms and guarantees
that serious dangers are dealt with right away. Because AI-driven
solutions are more accurate, security measures are more effective
overall, which is why businesses looking for dependable and
all-inclusive vulnerability management choose them.
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AI VULNERABILITY SCANNING MARKET SHARE ANALYSIS
The market for AI vulnerability scanning is dominated by
North America because of the
region's strong emphasis on cybersecurity and technical
improvements. Because there are so many tech businesses, financial
institutions, and government organizations in the US that need to
implement strong cybersecurity measures, the country is a big
participant in this space. The development and uptake of
sophisticated vulnerability scanning solutions are aided by the
presence of significant AI and cybersecurity companies in the area.
The industry is additionally driven by strict regulatory
requirements, such as those imposed by the Health Insurance
Portability and Accountability Act (HIPAA) and the Federal
Information Security Management Act (FISMA), which force firms to
install extensive security measures. The increased frequency of
cyberattacks in North America
emphasizes the necessity for sophisticated AI-powered security
measures.
Key Players:
- European Union
- CRYPTTECH
- SecPoint
- TheSmartScanner
- SecureWorks
- Cybots
- Cyber Orion
- ImmuniWeb SA
- Verta
- Huawei Cloud
- FreeBuf
- Alibaba Cloud
- IBM
- Google Cloud
- BARUTU
- Amazon AWS
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