Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Top 10 SIEM best practices for modern security operations

Nowadays, it’s not uncommon for enterprise IT leaders to find themselves in a situation that seems like a catch-22. On one hand, they’re expected to make data-driven decisions that improve productivity and profitability in a business. On the other, they’re preoccupied with their core responsibilities such as protecting critical systems, maintaining network security, and accelerating investigations when a security event occurs. Traditional tooling won’t keep up with modern systems.

How X-Design's AI Agent Is Replacing Drag-and-Drop Branding Tools

The timeline for launching a brand has crashed. Two years ago, building an identity was a month-long slog of negotiations and revisions. Today, it happens in the afternoon. The old method of stitching together disjointed tools is dead; the market simply moves too fast for that.

Advancing MITRE ATLAS AI Security Through Zenity's Contributions

MITRE ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a globally recognized AI security framework that catalogs adversarial techniques targeting artificial intelligence systems. Similar in structure to MITRE ATT&CK but purpose-built for AI, machine learning, and agentic systems, ATLAS translates abstract AI risks into concrete, actionable attack techniques that security teams can monitor and mitigate.

How AWS Security Hub and Tines Help Security Teams Prioritize Risk and Accelerate Response

Security teams aren’t short on alerts—they’re short on clarity and time. As cloud environments grow more complex, leaders need to understand which findings represent real exposure and how to act on them quickly. In this webinar, AWS and Tines show how AWS Security Hub prioritizes risk through correlated and exposure-based findings, and how Tines turns that signal into consistent, automated action. Through real-world examples, attendees will see how teams reduce noise, speed remediation, and improve security operations with workflows that scale.

7 Reasons to Get Certified in API Security

API security is becoming more important by the day and skilled practitioners are in high demand. Now’s the time to level up your API security skillset. Wallarm University, our free training course, provides security analysts, engineers, and practitioners with hands-on skills you can’t get from documentation, videos, or traditional courses. Run real attacks, investigate real signals, and learn exactly how to defend API environments when it counts. Here are the 7 reasons you should register.

DSPM for AI: Securing Data in the Age of Artificial Intelligence

Organizations across industries are adopting AI at a rapid pace. From utilizing this newer technology to process data and conduct business-critical tasks to individual employees experimenting with Gen-AI to enhance their workflows, artificial intelligence now touches multiple points of an organization's operations.

AI 2026: A Look Ahead

2026, the perfect time to reflect on how far technology has come and what lies ahead. Without a doubt, Artificial intelligence has gone from a niche to an omnipresent force, reshaping how we work, build, and defend. While organisations have speed-ran the adoption of AI and machine learning, cybercriminals have been just as fast to exploit them, and AI now powers business decisions, customer interactions, and – predictably – cyberattacks.

The Silent Killer in Security Stacks: Configuration Drift | Todd Graham x Garrett Hamilton

The silent killer in modern security programs? Garrett Hamilton and Todd Graham discuss how the real killer is settings quietly slipping out of alignment over time — even in environments packed with “best-in-class” tools and clean audit results. Misconfigurations don’t announce themselves. They accumulate. They age. They slowly pull your security posture away from original intent. What teams think is “turned on” often isn’t enforced consistently — or at all. Without continuous validation, drift becomes invisible risk.