Cloud Security Software Market to Reach $45 Billion by 2035

Cloud Security Software Market to Reach $45 Billion by 2035

The cloud security software market is experiencing significant growth, fueled by the increasing adoption of cloud computing and the growing sophistication of cyber threats. According to Market Research Future, the market was valued at $11.02 billion in 2023 and is projected to reach $45 billion by 2035, growing at a CAGR of 12.43% from 2025 to 2035. This expansion is driven by enterprise cloud migration, the rising threat landscape, and stringent data protection regulations like GDPR and CCPA. Leading players such as Palo Alto Networks, Zscaler, CrowdStrike, and F5, Inc. are spearheading innovations to enhance cloud security resilience.

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CyberArk, Device Authority, and Microsoft Secure IoT with Zero Trust

CyberArk, Device Authority, and Microsoft Secure IoT with Zero Trust

CyberArk, Device Authority, and Microsoft have joined forces to deliver a Zero Trust-based security solution that strengthens connected device authentication for enterprise applications. This initiative addresses the rising cyber risks in manufacturing, where Industrial IoT (IIoT) and Operational Technology (OT) systems are becoming increasingly interconnected. The collaboration aligns with the NIST IoT security framework, introduced in May 2024, ensuring secure device onboarding, continuous management, and threat monitoring. The solution helps manufacturers mitigate cybersecurity vulnerabilities in factory floors and edge environments, where high device density and intermittent monitoring create security challenges.

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Mphasis Partners with SecPod to Elevate Cybersecurity with AI-Driven Vulnerability Management

Mphasis Partners with SecPod to Elevate Cybersecurity with AI-Driven Vulnerability Management

Mphasis, a leading IT solutions provider specializing in cloud and cognitive services, has announced a strategic partnership with SecPod, a cybersecurity technology company. This collaboration will enhance Mphasis’ vulnerability management offerings by integrating SecPod’s Saner Continuous Vulnerability and Exposure Management platform. With cybersecurity threats evolving rapidly, enterprises face challenges such as delayed risk identification, remediation backlogs, and inefficiencies caused by fragmented security tools. This partnership aims to address these issues by shifting organizations from reactive to proactive cybersecurity

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CyberQ Group Unveils AI Advisory Board & ‘Q’ for Cybersecurity Innovation

CyberQ Group Unveils AI Advisory Board & ‘Q’ for Cybersecurity Innovation

CyberQ Group has taken a major step forward in AI-driven cybersecurity by establishing an AI Advisory Board and introducing its proprietary AI model, ‘Q’. This initiative reinforces CyberQ Group’s commitment to leveraging artificial intelligence to combat the growing complexity of cyber threats. With AI rapidly transforming both cybersecurity and cybercrime, organisations must adopt proactive, AI-driven defence strategies to stay ahead. The AI Advisory Board, starting with renowned AI and cybersecurity expert Ben M, will play a pivotal role in shaping the company’s AI-powered threat defence strategy.

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Cybersecurity Consulting Market Growth: Trends, Challenges & Insights

Cybersecurity Consulting Market Growth: Trends, Challenges & Insights

The cybersecurity consulting services market is witnessing significant growth, driven by increasing cyber threats, AI-driven attacks, and a growing reliance on digital infrastructure. A study by Knowledge Sourcing Intelligence projects that this market will grow at a CAGR of 12.57% between 2025 and 2030, reaching $11.829 billion by 2030. This article explores key factors influencing market expansion, industry-specific demands, and the evolving threat landscape.

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EY Launches AI-Powered Smart Contract Review for Enhanced Security

EY Launches AI-Powered Smart Contract Review for Enhanced Security

The EY organization has launched advanced artificial intelligence (AI) capabilities in its EY Blockchain Analyzer: Smart Contract and Token Review (SC&TR) tool. This new AI-driven functionality enhances smart contract vulnerability detection, improves test coverage, and accelerates the contract simulation process, making smart contract reviews more efficient and robust. With the integration of AI, users can automate contract reviews using natural language prompts, significantly reducing manual efforts while increasing security. This innovation positions businesses to deploy smart contracts with greater confidence, reducing review times for EY teams by 50%.

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AGII Enhances Web3 Security with AI-Powered Blockchain Protection

AGII Enhances Web3 Security with AI-Powered Blockchain Protection

As blockchain technology continues to expand, so do the cybersecurity threats facing decentralized ecosystems. AGII, a leading AI-driven Web3 platform, has introduced an advanced AI-powered security framework designed to protect blockchain networks, smart contracts, and decentralized applications (dApps) from emerging risks. By combining real-time monitoring, anomaly detection, and predictive analytics, AGII’s latest security expansion ensures proactive defense against exploits, fraud, and vulnerabilities in decentralized networks.

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Pathfinder AI: Transforming SOCs with Agentic AI for Autonomous Security

Pathfinder AI: Transforming SOCs with Agentic AI for Autonomous Security

Security Operations Centers face increasing challenges as cyber threats grow in complexity and volume. Traditional rule-based automation often fails to keep up, leading to alert fatigue, slow response times, and fragmented investigations. To address these issues, Hunters—a leader in next-generation SIEM—has introduced Pathfinder AI, marking a major step toward AI-driven SOCs. This innovation builds on Copilot AI, which enhances SOC workflows with LLM-powered guidance, and introduces Agentic AI, an autonomous system designed to optimize threat detection, investigation, and response. Pathfinder AI represents a shift from manual-intensive security processes to a self-optimizing AI-driven SOC, enabling security teams to focus on critical threats rather than tedious analysis.

Read More: Pathfinder AI: Transforming SOCs with Agentic AI for Autonomous Security

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