Beyond Guardrails: How to Secure Your AI from Unsanitized Data and Deceptive Prompts
Beyond Guardrails: How to Secure Your AI from Unsanitized Data and Deceptive Prompts.
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
The Dawn of the Agentic SOC: Reimagining Cybersecurity for the AI Era
At Fal.Con 2025, I had the privilege of addressing over 8,000 cybersecurity professionals about something that’s on my mind – and should be on all of ours: how do we fundamentally reimagine security for the age of AI? We're living through the fourth industrial revolution. The first brought us steam power, the second electricity, and the third the digital age we all know and love.
How to Spot and Stop Security Risks From Unmanaged AI Tools: Shadow AI, LLM Agents, Compliance Risks
How to Spot and Stop Security Risks From Unmanaged AI Tools Shadow AI is exploding in organizations—developers are using AI tools and models without approval, often embedding them into production systems. In this webinar, Mend.io EVP of Product Management Nir Stern explains the real risks behind unmanaged AI tools, why traditional AppSec can’t keep up, and eight practical steps to regain control.
SailPoint AI-Driven Identity Governance: Access Modeling
Join Xalient experts Dave Cox, VP of Identity Services, Ryan Cluff, Director - IGA Practice and Kevin Bender, Senior Manager - IGA Practice, as they dive into the challenges of role-based access control (RBAC) and how to effectively use SailPoint’s AI Access Modeling to build, refine, and govern role models at scale. Learn how organizations can avoid stale role definitions and adopt sustainable, data-driven approaches.
Is AI REALLY thinking?! | AI Avenue Ep 3
AI think therefore AI am? Is AI actually, truly thinking, is it...alive?!
Bridging Enterprise Content and AI: Introducing Egnyte's LangChain Integration
In the rapidly evolving landscape of enterprise AI, the ability to seamlessly connect organizational knowledge with intelligent systems is a critical differentiator. While LLMs excel at reasoning and generation, their true potential is unlocked only when they can access and process the vast repositories of institutional knowledge driving your organization’s business decisions.
Agentic AI and the Future of Cybersecurity: A Field CTO's Perspective
When I talk to customers about AI these days, I usually get two very different reactions. Some lean forward, excited about the promise: fewer alerts, faster response, maybe even lights-out SOC operations someday. Others lean back, uneasy about the risks: does this mean attackers will be able to run thousands of hacks at once, automatically? The truth is, both reactions are justified. We are at the start of a shift toward agentic AI. This is not the same as today’s AI copilots that wait for prompts.
Supercharge Your AI Data Governance with Riscosity's F5 BIG-IP SSL Orchestrator Integration
Artificial intelligence has stormed the enterprise world, and it's not slowing down anytime soon. With thousands of AI-powered applications, from large language models (LLMs) to productivity-boosting copilots, employees are tapping into AI to work smarter and faster. But here’s the rub: while AI can supercharge productivity, it also brings along a Pandora’s box of risks.
Agentic AI in Cybersecurity: Real-World Impact & Strategic Insights
In this webinar, the Securonix team breaks down how agentic AI is transforming cybersecurity from theory into measurable results. Hear directly from our experts on the Response Agent and other AI-driven capabilities that help modern SOCs detect threats faster, cut through alert fatigue, and deliver outcomes that boards can trust. What you’ll learn: This session is packed with real-world examples and strategic guidance for CISOs, SOC leaders, and analysts who want to modernize security operations, demonstrate ROI, and prove resilience in the boardroom.
DAGStyle Agents That Finish Jobs
When I first built a chat-based AI agent, I was amazed by its conversational abilities. It could answer questions and generate code snippets on the fly. Yet when I tried to delegate complex work (like analysing a set of documents), it kept wandering off course. Sometimes it hallucinated, sometimes it looped forever, and sometimes it burned through API credits without a single useful output.