Security and Risk Management
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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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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To help organizations responsibly unlock the full value of Generative AI (GenAI), SAS has launched a benchmarking tool that enables businesses to assess their AI maturity, compare themselves with global peers, and implement AI securely and successfully.
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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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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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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.
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The biggest cybersecurity risk today isn’t just the code itself—it’s how the code is created. Archipelo, a San Francisco-based cybersecurity startup, has emerged from stealth with $12M in funding to introduce a new category of security: Developer Security Posture Management.
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Eastern Washington University’s Professional and Continuing Education unit has partnered with iQ4 Corporation to enhance career readiness for military veterans and therapeutic recreation students. This collaboration introduces advanced digital learning tools, cybersecurity training, and credentialing solutions to bridge the gap between education and workforce readiness.
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Trend Micro Incorporated has launched Trend Cybertron, the first specialized cybersecurity AI agent designed to revolutionize cyber risk management. This cutting-edge AI-powered platform integrates large language models with global threat intelligence and local risk assessments to predict and prevent cyber threats before they materialize.
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