We just released our inaugural State of AI Security report, based on research with 275 security and IT leaders across the United States. The findings confirm what I’ve been observing in conversations with enterprise leaders: they’re struggling to secure and govern…
Acuvity vs SASE/CASB: Choosing the Right Tool for Securing Generative AI
Background As generative AI becomes embedded across modern enterprise workflows, organizations are under pressure to address a fast-evolving risk landscape. From employees using ChatGPT to AI agents operating autonomously, the security perimeter has shifted and traditional data governance tools are not…
Why AI Security is Mission-Critical for AppSec Teams
How Application Security can stay ahead in the age of AI-powered development The rise of Generative AI (Gen AI) is transforming how software is built, tested, and deployed—and Application Security (AppSec) teams are on the front lines of this shift. As…
AI Security Series: What It Really Takes to Secure Gen AI
This is Acuvity’s AI Security Series which offers a comprehensive exploration of securing AI systems, particularly focusing on Large Language Models (LLMs) and agentic applications. Each installment delves into critical components of AI security, providing insights and strategies for enterprises to protect their…
AI Security Series 5 – Model Training
As enterprises increasingly adopt Large Language Models (LLMs), some choose to pre-train or fine tune models. This blog describes problems that one needs to be aware of when they are indeed training models. In this part of the series we will…
AI Security Series 4 – Model Usage
At the heart of any AI application or agentic system are LLMs. Your developers and vendors are using multiple LLMs to achieve the right balance of quality and cost to deliver the workflow automations and agentic systems. In this section we…
AI Security Series 3 – Datastores
Modern AI applications—especially those involving conversational agents, retrieval-augmented generation (RAG), and enterprise copilots—depend heavily on a variety of datastores to supply, retrieve, and manage knowledge. Below is an outline of various data subsystems that are used in AI applications and agents. Together, these datastores…
AI Security Series 2 – Gen AI Application Security Pillars
As enterprises rapidly integrate AI systems into core workflows, the need to adopt a security-first mindset becomes imperative. These systems, especially those built on architectures like Retrieval-Augmented Generation (RAG) and agentic execution patterns, introduce novel security concerns far beyond traditional software…
AI Security Series 1 – Applications and Agents
Introduction The rapid advancement of AI technologies—particularly large language models (LLMs) and agentic systems—has transformed the way modern applications are built and operated. From personalized customer support chatbots to autonomous agents that perform multi-step reasoning and execute tasks on behalf of…
How Acuvity Manages Gen AI Security Risk
Gen AI adoption in enterprises has surged due to productivity and efficiency gains, reduced costs, improved decision making, enhanced customer experience and several others. In 2023, about 35% of organizations reported using Gen AI, by early 2025, this figure has doubled…