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Security Boulevard - AI — Archive

275 articles · page 6 of 6

Security Boulevard, Friday, January 9th, 2026

Prompt Frameworks For AI Results: A Practical Guide For Leaders And Product Teams

Vol 334 · Issue 1 · 2026-01-09

AI tools deliver uneven outcomes for one simple reason. Most people talk to them without clarity. Prompt quality shapes output quality. Teams waste time refining responses instead of improving inputs. This article breaks down five proven prompt frameworks and shows how leaders, product teams, and operators use them to drive consistent results. The focus stays practical, structured, and grounded in real business use.

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Prompt Frameworks For AI Results: A Practical Guide For Leaders And Product Teams

Security Boulevard, Friday, January 9th, 2026

AI Deception Is Here: What Security Teams Must Do Now

Vol 334 · Issue 1 · 2026-01-09

Recent research shows that deception can emerge instrumentally in goal-directed AI agents. This means deception can arise as a side effect of goal-seeking, persisting even after safety training and often surfacing in multi-agent settings. In controlled studies, systems like Meta's CICERO demonstrated the capacity to use persuasion and, at times, misleading strategies in order to optimize outcomes.

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AI Deception Is Here: What Security Teams Must Do Now

Techstrong.ai, Wednesday, January 7th, 2026

Exploring AI In Edge Computing Beyond The Cloud With Edge AI

Vol 334 · Issue 1 · 2026-01-07

Recently, we've seen a huge increase in the use of AI and AI-powered tools and technologies in industries such as healthcare, finance, manufacturing and many more. Organizations should be able to optimize operational efficiency, be proactive and embrace AI and AI-powered technologies to drive business growth.

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Exploring AI In Edge Computing Beyond The Cloud With Edge AI

Techstrong.ai, Wednesday, January 7th, 2026

LLM Terminology Cheat Sheet: Comprehensive Reference For AI Practitioners

Vol 334 · Issue 1 · 2026-01-07

This reference distills the essential terminology of large language model (LLM) research & engineering into a single, accessible guide. From architectures and core components, to training strategies and evaluation benchmarks, it provides the precise definitions needed to navigate technical papers, model documentation and benchmark results.

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LLM Terminology Cheat Sheet: Comprehensive Reference For AI Practitioners

Security Boulevard, Wednesday, January 7th, 2026

Securing The Knowledge Layer: Enterprise Security Architecture Frameworks For Proprietary Data Integration With Large Language Models

Vol 334 · Issue 1 · 2026-01-07

Large language models (LLMs) augmented with proprietary enterprise data represent transformative technology enabling sophisticated decision-making and operational-efficiency improvements. However, integrating sensitive organizational information with AI systems introduces security complexities demanding comprehensive architectural attention.

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Securing The Knowledge Layer: Enterprise Security Architecture Frameworks For Proprietary Data Integration With Large Language Models

Security Boulevard, Tuesday, January 6th, 2026

The Silent Threat To The Agentic Enterprise: Why Bola Is The #1 Risk For AI Agents

Vol 334 · Issue 1 · 2026-01-06

In the race to deploy autonomous AI agents, organizations are inadvertently building on a foundation of shifting sand. While security teams have spent the last year focused on 'Prompt Injection' and 'Model Poisoning,' a much older, more dangerous adversary has quietly become the primary attack vector for the agentic era: Broken Object Level Authorization (BOLA).

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The Silent Threat To The Agentic Enterprise: Why Bola Is The #1 Risk For AI Agents

Security Boulevard, Monday, January 5th, 2026

What is VoWiFi - and why are operators still investing in Wi-Fi calling?

Vol 334 · Issue 1 · 2026-01-05

Artificial intelligence is transforming business models and competitive advantage. Leadership teams agree AI matters, but far fewer know how to turn AI potential into real, measurable business outcomes. Research shows most companies have not developed an enterprise-wide Data + AI strategy that drives value beyond experimentation.

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What is VoWiFi - and why are operators still investing in Wi-Fi calling?