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How to Build Custom Data Detectors Without Regex: DLP for Context-Aware Detection

DLP systems have traditionally relied on regex pattern matching to identify sensitive information. While regex excels at finding patterns, it fundamentally can’t understand context. It’s a massive limitation that forces security teams into endless cycles of tuning expressions and triaging false positives. Nightfall AI built prompt-based entity detection to solve this problem.

The best ISO 27001 compliance software for 2026

For lean teams, ISO 27001 can feel like a lot to take on. You’re expected to set up a formal security program, assess risks, write and maintain a long list of policies, and have audit-ready proof on hand—often without a large security or compliance headcount. ‍ On top of that, manual work and outside consultants can get expensive fast, pulling founders, engineers, and operators away from building the product and growing the business.

Why Performance-Based Questions Are the Real Security+ Challenge (and How to Beat Them)

If you've passed a multiple-choice certification exam before, you might assume the CompTIA Security+ will be more of the same. You read the question, eliminate two obviously wrong answers, pick the best remaining option, and move on. Then you hit your first performance-based question. Suddenly you're staring at a simulated firewall interface, asked to configure ACL rules for a production web server. There's no A, B, C, or D. Just a blinking cursor and a timer counting down. This is where most Security+ candidates panic, and it's exactly why PBQs exist.

Nucleus: Why AI Features Don't Equal Better Vulnerability Management

AI is becoming table stakes in vulnerability and exposure management, at least in vendor messaging. Autonomous agents, instant prioritization, and self-healing security sound compelling. But many security teams are left asking a simpler question. Does this actually reduce risk, or does it just add complexity and false confidence? In this candid conversation, Chris Ray, Field CTO at GigaOm, and Will Gorman, CTO and leader of AI initiatives at Nucleus Security, challenge the assumption that more AI automatically leads to better outcomes.

Snyk: AI Agents Don't Ask Permission: Building an AI-BOM for Visibility & Control

Traditional AppSec approaches can't always see the real risks hiding inside AI-native apps, from prompt injection to data leakage and hidden agent behavior. In this hands-on technical session, learn how to discover, assess and govern your AI assets with AI-BOM, MCP Scan, and other free-to-use tools from Snyk Labs. You'll learn how to: You'll see live demos of how to start scanning, generate actionable evidence, and feed results back into developer workflows.
Featured Post

AI for Security Infrastructure: Rebalancing Cybersecurity for the Decade Ahead

For more than a decade, cybersecurity has been shaped by a single doctrine: assume breach. Facing high-volume, relentless, and diverse attacks, the security industry has been forced into a reactive stance, playing a constant game of whack-a-mole in a nonstop damage-limitation exercise. This has driven major investment in detection, response, and recovery, and created a world in which organizations are better at reacting to incidents than at preventing them in the first place.

How to Secure Sensitive Data in Jira & Confluence with DLP (Data loss prevention)

In almost every major enterprise, Jira and Confluence are the default operating systems for innovation. They hold your organization's most vital intelligence, from product roadmaps to financial planning. Yet, while companies invest billions in fortress-like perimeter security, firewalls and VPNs, to keep external attackers out, they often ignore the fragility of their internal collaboration environments.

Talos intent-based detection: Stopping the scrapers that legacy tools can't see

Cybersecurity tools and procedures were designed to provide full defence against predictable threats that followed patterns that would raise alarms. Familiar CAPTCHAs, IP blocks, browser checks, browser fingerprinting, and login restrictions would provide a protective layer for businesses to ensure only genuine users were using their website, or app, or API responsibly. This layer of cybersecurity used to distinguish human from bot.

Cyber Recovery vs. Disaster Recovery: What You Need to Know

Today’s IT leaders face a non-stop escalation of stealthy cyberattacks designed to hold organizations hostage. The dialogue has shifted from if you will be compromised to when. The financial stakes are incredibly high. According to a 2024 study by Splunk and Oxford Economics, “outages cost businesses over $400 billion in revenue each year.” For many Technology decision-makers, the instinct is to rely on traditional disaster recovery plans.