Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

How Exabeam Builds Dynamic Threat Timelines with AI | Say Goodbye to Alert Fatigue

Over 100 vendors claim to have a SIEM. Most can't deliver. See how Exabeam Threat Center uses AI and behavioral analytics to automatically build dynamic threat timelines to reduce alert fatigue, false positives, and triage time. Prioritize threats by risk score Automate correlation across users, assets, and events Real Intelligence. Real Security. Real Fast. Subscribe for more product demos and cybersecurity insights!

Security-Conscious AI Software Development with Windsurf x Aikido

Modern development teams do far more than simply write code. Now, with the help of AI, software development organizations are orchestrating its creation, maintenance, and delivery at a bigger scale than ever before. Tools like Windsurf and Devin from Cognition help developers across the Software Development Lifecycle (SDLC) by augmenting people with multi-step reasoning agents that can write code.

Why Prompt Scanning & Filtering Fails to Detect AI Risks [& What to do Instead]

Enterprises deploying AI agents and LLMs often look to prompt scanning as their first line of defense against privacy and security breaches. The idea is simple: analyze the text of the user’s prompt before it reaches the model, detect it for sensitive keywords or patterns, and block the sensitive words that may trigger a security or compliance issue. Enterprises thought this was a safe around, till they walked into unexpected issues.

Designing an Agentic AI Copilot: 8 Principles from Building Nyx

Everyone’s racing to build copilots right now. But making an agentic AI that feels like a trusted teammate—one that understands context, acts safely, and simplifies complex workflows—is harder than it looks. While building Nyx, our agentic AI copilot for security teams, our team spent a lot of time thinking about how to make her an effective team member - skilled and trustworthy.

Smarter docs, smarter security: How we're using AI to rethink PAM support

Let’s be honest — nobody wakes up excited to read documentation. You’ve been there. You’re configuring a tricky workflow, testing an API, troubleshooting a weird corner case. And instead of finding the answer fast, you’re 12 tabs deep, elbows in a PDF appendix, hoping for a miracle. That’s not how it should be.

Introducing Apono's AI-Powered Access Assistant: Smarter Access Starts with a Conversation

Today we’re excited to announce the launch of Apono’s new AI-powered Access Assistant, now live across the Apono Cloud Access Management Platform. As AI continues to transform engineering and security workflows, this assistant brings natural language interaction to access management. Helping teams move faster while staying secure. By eliminating the guesswork from access requests, Apono’s Access Assistant gives engineers a powerful new way to get exactly the access they need.

Creating an MCP Server in Tines

MCP servers in Tines allow you to create custom AI tools and connectors using the new MCP server action template. Integrating Tines and MCP streamlines incident response and workflow automation, enhancing efficiency and security operations by enabling seamless communication and data integration between systems. New to Tines? Sign up for our always-free Community Edition and start building right away.

Meeting the AI Mandates with Confidence: Why Federal Teams Trust Snyk

Federal agencies are moving fast to unlock AI's potential—from improving citizen services to driving mission outcomes. But with all that innovation comes a new wave of complexity and risk. Security, trust, and transparency can’t be afterthoughts. They need to be part of the build and AI adoption process from day one. AI-driven development is exponentially increasing both code speed and code insecurity, as AI generates code with up to 40% more vulnerabilities than human developers.

The security principles guiding 1Password's approach to AI

AI is transforming the way we work. There are immense opportunities for automation, intelligent decision-making, and productivity gains. This transformation is a tremendous opportunity, but it also comes with tremendous responsibility, especially when security is involved. For example, AI systems can now act on behalf of users, access sensitive data across tools, and make decisions without oversight, all of which have security implications.