AI That Never Learns Many people fear having AI train on their data because they don’t want to lose proprietary data in public LLMs. So they say, “I don’t want AI training on my data.” But that’s exactly what they want—they just don’t realize what they’re saying. What they mean is they don’t want to give up …
When Anthropic introduced the Model Context Protocol (MCP) in November 2024, it triggered a wave of hype. YouTube videos, blogs, and tweet threads all chimed in to say: this is the future of AI integration. And in many ways, it is. But in our latest conversation, I wanted to step beyond the hype and ask: What …
AI agents become more integrated into enterprise operations, the conversation around data security and privacy is shifting. Enterprises are moving beyond basic concerns about large language models (LLMs) and data leakage—now, they’re asking deeper questions about AI agents running autonomously within their systems. How secure are these agents? Do they introduce new risks, or can …
AI is Streamlining Policy and Procedure Access As more of your processes move to digital formats, providing employees with accurate, up-to-date information on policies and procedures is critical for maintaining efficiency and compliance. Traditional virtual agents rely on predefined scripts, providing answers to expected questions. However, this approach often results in inconsistencies, delays, and user …
Implementing Effective Data Protection Strategies Large Language Models (LLMs), like Gemini and ChatGPT, are transforming how we summarize and generate content. Their remarkable ability to understand and generate human-quality text has led to many innovative applications in a relatively short time. LLMs are becoming an indispensable tool in the modern workplace, from writing emails and …
Generative AI, with its ability to produce human-quality text, translate languages, and write different kinds of creative content, is changing the way people work. But just like any powerful technology, it’s not without its vulnerabilities. In this article, we explore a specific threat—LLM jailbreaking—and offer guidance on how to protect your generative AI applications. What …
The Securities and Exchange Commission (SEC) recently released a proposed rule that would require public companies to implement new cybersecurity risk management and disclosure measures.¹ The proposed SEC cybersecurity disclosure rules aim to modernize and standardize the SEC’s approach to cybersecurity risk management by updating and expanding its guidance to companies regarding their disclosure obligations and …
A nationwide managed security service provider (MSSP) reduced its mean time to resolution by twenty-five percent (25%) and improved its efficiency by automating IT incident management and security operations with Krista.
An independent software vendor automated its DevOps toolchain with Krista and reduced its release management process from twelve to four weeks. Krista stores all communication and transactions to automate dashboarding, manage service level agreements, and automates compliance documentation.
In the ever-evolving threat landscape, it is not a matter of ‘if’ but rather ‘when’ a cybersecurity breach occurs. Acting swiftly and effectively can enhance an organization’s cyber resilience and restore it to its secure state. However, this isn’t easy with conventional security platforms. SOCs have too many tools. They have too many alerts. They …