Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Advanced AI-supported threat detection for faster MTTD and MTTR The Ministry of Defence (MoD)’s own assessments describe an unacceptable cyber risk position amid an escalating wave of malicious cyber activity1 — a sobering reality for defence security operations centre (SOC) managers With the risk of cyber attack among the highest managed by the Defence Board2, the pressure on security teams is growing. SOC teams must detect sophisticated cyber threats before they cause damage.

Elastic Defend delivers endpoint protection for macOS Tahoe 26 from the moment it’s released, ensuring your macOS fleet stays secure without delay. Apple macOS Tahoe 26 raises the bar on performance, usability, and security. Elastic Security is ready on day one, giving organizations the confidence to roll out new machines, upgrade existing devices, or evaluate macOS Tahoe 26 for future deployments without delay.

Industries, governments, and enterprises of all kinds have adopted large language models (LLMs) and generative AI (GenAI) into their operations and workflows, unlocking new possibilities for everything from customer interaction to complex data analysis. But with this innovation comes new challenges for security, observability, and data science teams.

In today’s data-driven world, CISOs and senior leadership need to prove that their security programs mitigate risk. Just like grades theoretically quantify how well students understand material their teachers present, cybersecurity metrics quantify your security controls’ effectiveness. As the threat landscape becomes more complex, security teams struggle to identify the metrics that best showcase their value.

Phishing threats remain one of the most common and effective attack methods. Research shows it contributes to over 34% of confirmed breaches. The financial impact is significant as well, with credential-related breaches averaging $4.76 million per incident. And despite years of security awareness training, nearly a third of employees still click on simulated phishing emails. Why does phishing work so well? Attackers exploit gaps in visibility, speed, and user behavior.

AI agents (utilizing LLMs and RAG) are being used within SOCs and SIEMS to both help identify attacks and assist analysts with working more efficiently; however, I’ve done a little bit of research one sunny British afternoon and found that these agents can be abused by attackers and made to go rogue. They can be made to modify the details of an attack, hide attacks altogether, or create fictitious events to cause a distraction while the real target is attacked instead.

When we talk about emerging technologies and digitization, we often forget that while innovators work to bring the best security tools to market, malicious actors are concurrently working to identify loopholes and vulnerabilities in these new systems. Gone are the days when cyber attacks were a rare occasion; now, they happen almost daily.