AI Security

Threat Intelligence and Malware Analysis in 2025 Threat intelligence and malware analysis in 2025 blend automation with careful human judgment. Analysts pull from vendor feeds, open data, and telemetry from endpoints, cloud workloads, and network sensors. The volume is large, so teams emphasize high-signal indicators, confidence levels, and clear ownership. Structured workflows and shared data models help keep work consistent across teams and time. How threats are analyzed in 2025 Threat intel now covers strategic, operational, and tactical layers. Strategic intel informs planning; operational feeds drive alerts; tactical data supports fast triage, with IOCs and TTPs. Quality matters more than quantity; teams prune noisy feeds and annotate context, confidence, and lineage. AI assistants help summarize reports, correlate events, and draft IOC lists, but human review remains essential to avoid mistakes. ...

Cyber Threats 2025: Trends and Defense Strategies Cyber threats continue to evolve as attackers use new tools in a faster, more connected world. In 2025, artificial intelligence speeds up both attacks and defenses, making the landscape more complex for organizations of all sizes. It is important to stay informed and prepared. Current Trends AI-assisted phishing and deepfakes enable convincing social engineering at scale. Ransomware-as-a-service lowers the bar for criminals; attackers combine encryption with data theft for double extortion. Cloud misconfigurations and insecure APIs fuel data leaks in SaaS and IaaS environments. Supply chain compromises linger, with software dependencies and third-party vendors as entry points. IoT and operational technology expand the attack surface in manufacturing, energy, and smart buildings. Attackers favor low-friction channels like email and collaboration apps, increasing the need for careful monitoring. Organizations should watch where data lives and who can access it. Regions and sectors vary in risk, so a tailored approach helps reduce gaps. ...