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Large Language Models Won't Replace Hackers

Data Breach Today

UK AI Safety Institute Says LLMs Can't Give Novice Hackers Advanced Capabilities Large language models may boost the capabilities of novice hackers but are of little use to threat actors past their salad days, concludes a British governmental evaluation.

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Large Language Models: Moving Past the Early Stage

Data Breach Today

AI, machine learning and large language models are not new, but they are coming to fruition with the mass adoption of generative AI. For cybersecurity professionals, these are "exciting times we live in," said Dan Grosu, CTO and CISO at Information Security Media Group.

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The Rise of Large-Language-Model Optimization

Schneier on Security

Large language models, or LLMs, are trained on massive troves of material—nearly the entire internet in some cases. SEO will morph into LLMO: large-language-model optimization, the incipient industry of manipulating AI-generated material to serve clients’ interests. We already see the beginnings of this.

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Attackers Rely on 'Exotic' Languages for Malware Creation

Data Breach Today

Blackberry: Newer Programming Languages Help Cybercriminals Evade Detection Malware developers increasingly are relying on "exotic" programming languages - such as Go, Rust, DLang and Nim - to create malicious code that can avoid detection by security tools and add a layer of obfuscation to an attack, according to a report released Monday by BlackBerry. (..)

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Drive Better Decision-Making with Data Storytelling

Narrative - This component is centered on the simple language used to describe the data. Data visualization - Visualizations help to effectively tell a data-driven story. Users will be more engaged, their emotions triggered, and data-driven decision-making will be enhanced.

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North Korea-linked Konni APT uses Russian-language weaponized documents

Security Affairs

North Korea-linked Konni APT group used Russian-language Microsoft Word documents to deliver malware. FortiGuard Labs researchers observed the North Korea-linked Konni APT group using a weaponized Russian-language Word document in an ongoing phishing campaign. The Word document seems to be in the Russian language.

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OWASP Top 10 for LLM (Large Language Model) applications is out!

Security Affairs

The OWASP Top 10 for LLM (Large Language Model) Applications version 1.0 OWASP released the OWASP Top 10 for LLM (Large Language Model) Applications project , which provides a list of the top 10 most critical vulnerabilities impacting LLM applications. is out, it focuses on the potential security risks when using LLMs.

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Reimagining CX: How to Implement Effective AI-Driven Transformations

Speaker: Steve Pappas, Chief Strategist, Startup and Early Stage Growth Advisor, Keynote Speaker, CX Podcaster

Learning Objectives: Understanding the key role of conversational AI and generative AI/LLMs (like ChatGPT) in CX transformation 🔑 How AI-powered chatbots, virtual assistants, and natural language processing are enhancing customer interactions, streamlining operations, and reshaping the customer journey 🤖 Understanding why conversational (..)

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial.