Boards are starting to ask the right question about AI risk. Unfortunately, many organizations still don’t have a credible answer.
File-based malware has long been among the most effective attack vectors employed by threat actors worldwide. While AI-powered detection technologies are coming to market to help address these growing risks, their outputs should be complemented by deterministic controls and human oversight, particularly in high-consequence environments.
AI agents will change how SOCs work, but they won’t save a broken data foundation. If your telemetry is siloed, your schemas are inconsistent, or your context is missing, you’ll automate noise, not insight.
Artificial intelligence (AI) has rapidly emerged as the double-edged sword of the cyber threat environment. Sophisticated AI models now serve as both potent tools for attackers and vulnerable hinge points for organizations girding against intrusions.
As we enter 2026, AI-native automation is fundamentally reshaping telemetry pipeline management. As a result, around 80% of configuration tasks currently hand-built by Observability/Security teams will be automated, transforming the roles of those teams from builders to strategic drivers.
The IT security industry is facing a new wave of hacking through smart technology, machine learning, and artificial intelligence where hackers will unleash unethical tactics to target and manipulate individuals and organizations.
AI and ML models, and network and security collaboration can successfully address the shortcomings of legacy XDR, paving the path to more accurate detection, faster remediation and ensure business continuity.
The future of data is not about how much we collect, but how ethically it is used and how we can realistically safeguard it so that we get the best out of AI without violating data privacy tenets.
GDPR is altering software development practices by forcing software development companies to take steps towards better application design and greater security.
If you are in the business of IoT, you must not take your users’ data security lightly. The risk is real every step of the way, with cyber hackers waiting to take advantage of an IoT network.
