Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The AI SOC explained: Intelligent security for modern threats

The SOC was originally designed for a threat landscape that no longer exists. Today, the sheer number and speed of modern threats make it tough for even the best analysts to keep up. Manually sorting through huge amounts of data, dealing with alert fatigue, and relying on fixed rules make it harder to understand the full story behind each threat. The AI SOC addresses this problem, but not in the way most vendors describe. It’s not just a simple product or feature.

The 7 Best AI Governance Tools in 2026

AI adoption has accelerated faster than most organizations’ ability to manage it. Security and compliance teams are now responsible for overseeing machine learning models, large language models (LLMs), agentic AI systems, and shadow AI—often with frameworks and processes that weren’t built for any of it. The gap between deploying AI and governing it responsibly is where risk lives. AI governance tools exist to close that gap.

See, Govern, and Secure All AI Usage in Your Enterprise

Do you happen to know which AI tools your employees are using right now, or what data they're sending into them? Cato AI Security automatically discovers every AI application in your environment, provides security teams with session-level visibility into how those tools are being used, and enforces data policies in real time, so employees can keep working and sensitive data stays where it belongs.

Non-Human Identity Sprawl Is the Hidden Cost of AI Velocity

In the current AI boom, we race to use copilots, orchestration scripts, CI workflows, retrieval pipelines, and background jobs. Sometimes, we take for granted that every one of these things needs an identity. Service accounts. OAuth apps. API keys. Short-lived tokens. As AI velocity increases, so does the number of these non-human identities (NHIs). Instead of obsessing over model quality, latency, hallucinations, and GPU costs, we also need to consider how these identities impact security.

Agentic commerce is happening now. Here's what we've learned.

We’ve been collaborating with others to explore when and how agentic commerce will work. Robin Gandhi is the CPO of Lithic, a leading card issuer that’s already seeing agents use its cards to make purchases. Below, he shares his thoughts on what’s changed, and what needs to change, for agentic commerce to become mainstream. Last year, I wrote about the opportunity for agentic payments to revolutionize travel bookings, ad spend management, procurement, and more.

AI can do what now?! - Detecting financial fraud with Elastic Security

Financial fraud is increasingly cyber-enabled, requiring organizations to detect complex campaigns across transactions, identities, and digital systems faster and with greater accuracy. Join cybersecurity experts Lisa Jones-Huff and Joe Murin as they discuss how Elastic Security applies AI, machine learning, and generative AI to modern fraud detection. They’ll share how Elastic Security helps teams connect signals, reduce noise, accelerate investigations, and scale fraud prevention through emerging frameworks and standards across financial services organizations.

How Charlotte AI AgentWorks Fuels Security's Agentic Ecosystem

The era of human-speed defense is over. With eCrime breakout times collapsing to as fast as 27 seconds and attacks from AI-powered adversaries increasing 89% year-over-year, the traditional SOC has reached a breaking point. Manual processes, fragmented tools, and rule-based playbooks were built for a different era. Today, if your defense depends on human reaction time, you’re not just behind — you’re at risk.

Unify Kubernetes, VMs, and AI with VCF 9

Managing modern IT infrastructure often feels like balancing completely different ecosystems. For years, organizations have run separate, hand-built, Kubernetes stacks on top of legacy virtualization platforms. Due to security concerns, it just made sense to build a separate, tailored container environment that they could automate and schedule their exact needs. This fragmented approach leads to inconsistent security policies, fragile integrations between clusters, and operational silos.

Why Your Human Risk Management Strategy Can't Ignore AI

AI isn’t just another technology wave—it’s a force multiplier for both innovation and risk. In a recent webinar featuring insights from Bryan Palma and guest speaker Jinan Budge, Vice President and Research Director at Forrester, one message came through clearly: the rise of AI and AI agents is fundamentally reshaping the human risk landscape—and security leaders need to move fast to keep up.