Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Powered Remediation: Mend SAST Performs +46% Better Than Competitors

Security teams face limited resources and a growing attack surface while developers struggle with security responsibilities that feel burdensome, annoying, or seem to conflict with their first priorities. AppSec teams turn to static application security testing (SAST) tools to identify vulnerabilities in first-party code early in the software development lifecycle while developers can still fix issues before the code is old and forgotten about.

DeepSeek: The Silent AI Takeover That Could Cripple Markets and Fuel China's Cyberwarfare

Unlike Western AI systems governed by privacy laws and ethical considerations, DeepSeek operates under a regime notorious for state-sponsored hacking, surveillance, and cyber espionage. With AI-driven automation at its disposal, China can rapidly scale its cyberattacks, embedding malware, manipulating financial markets, and eroding trust in global AI platforms.

AI-Powered Attacks Surge: 1,025% Jump in Vulnerabilities, 99% are API related

Wallarm's 2025 API ThreatStats Report offers a sweeping look at how AI deployments drive a surge in security risks. In 2024, Wallarm researchers discovered 439 AI-related CVEs-up an astonishing 1,025% from the prior year. Nearly all these flaws, 99%, point back to insecure or mismanaged APIs.

"SOAR isn't obsolete, it's just maturing": Tracking SOAR's AI evolution with Tines and GigaOm

In a recent webinar on SOAR’s evolving role in security and beyond, I chatted with Andrew Green, Networking & Security Research Analyst at GigaOm. We kicked things off with a brief discussion on Gartner’s Hype Cycle for ITSM report, which described the SOAR category as “obsolete” and prompted some commenters to declare that SOAR is “dead”.

Meet Spark, an AI Test Agent That Autonomously Uncovers Vulnerabilities

We’re thrilled to announce the general availability of Spark, an AI Test Agent that lowers the entry barrier to white-box fuzz testing. In this blog, we explain how Spark works and share the main results from its beta testing that prove its effectiveness.

Why AI Integration is Essential for Modern Call Center Success

Modern call centers face unprecedented challenges in meeting customer expectations while maintaining operational efficiency. The evolution of customer service demands has made traditional call center approaches obsolete, pushing organizations to embrace innovative solutions. This comprehensive blog explores how artificial intelligence revolutionizes call center operations, enhances customer experiences, and drives business growth in today's competitive landscape.

AI-powered fraud detection: Protecting financial services with Elastic

Fraud in financial services is becoming more sophisticated, costing the industry billions annually and eroding customer trust. Recently, Deloitte published an article highlighting the risk AI brings in the form of fraudsters to the financial services industry: “Fake content has never been easier to create — or harder to catch. As threats grow, banks can invest in AI and other technologies to help detect fraud and prevent losses.”