Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

trustcloud

Why AI governance is now a CISO imperative

May 13, 2025 By Tejas Ranade In TrustCloud
Let’s be real: 2024 is the year AI went from pilot to policy. And in 2025, it’s not slowing down. Every enterprise I talk to, from high-growth SaaS companies to large-scale global platforms, implements AI internally or embeds it into its products. With that momentum comes a wave of questions: Is this secure? Are we exposing customer data? What will our auditors say? CISOs are now expected to balance innovation with protection, fostering progress while staying ahead of risk.
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Achieve AI-Driven Policy Hygiene & Eliminate Policy Sprawl

May 13, 2025 By Cato Networks In Cato Networks
Firewall policies are essential, but over time, they become cluttered, misaligned, and hard to manage. That complexity puts Zero Trust and audit readiness at risk. Cato’s Autonomous Policies for Firewall as a Service (FWaaS) change that. This video shows how Cato applies AI to continuously assess and optimize your firewall policy set, removing outdated rules, identifying gaps, and simplifying ongoing management.
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Identity Is the New Root Access: Rethinking Zero Trust in DevOps Environments

Identity Is the New Root Access: Rethinking Zero Trust in DevOps Environments

May 13, 2025 By SecuritySenses In SecuritySenses
Amal Mammadov is a cloud security and detection engineering specialist working at the frontlines of identity-driven threats in modern cloud environments. His work focuses on how attackers exploit permissions, tokens, and machine identities, often without triggering traditional security controls. In this conversation, he breaks down why Zero Trust is no longer about networks but about controlling identity in fast-moving DevOps systems.
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Embeddings vs. Generative Models #AI #RAG #AIExplained #MachineLearning #OpenAI #LLMs #AIsecurity

May 12, 2025 By Mend In Mend
Not all AI models are made to generate. Some are built to understand. Here’s the key difference: Generative models take in text and produce new text (think ChatGPT). Embedding models take in text and translate it into numbers, vectors that capture meaning. Why does that matter? Because embedding models let you turn documents into searchable vectors. That means when someone asks a question, you don’t need to search the whole doc, you just find the most relevant chunks based on meaning. And that’s what makes things like RAG (Retrieval-Augmented Generation) powerful and efficient.
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egnyte

AI Chatbot Security: Understanding Key Risks and Testing Best Practices

May 9, 2025 By Dipak Das In Egnyte
Organizations are increasing their reliance on AI chatbots powered by Large Language Models (LLMs) to improve efficiency and reduce costs, creating new challenges for security and development teams. Without well-planned security for integrating AI chatbots into your business operations, you’re leaving the door wide open for bad actors.
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1Password

From agentic AI to race cars: RSAC 2025 with 1Password

May 9, 2025 By 1Password In 1Password
RSAC 2025 delivered an unforgettable week of cybersecurity insights and innovations. As the industry gathered to tackle the latest threats, one challenge loomed: the security risks posed by unfederated identities, unmanaged devices, applications, and AI-powered tools accessing company data without proper governance controls.
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