Security

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A practical guide to using PentesterFlow, an open-source terminal assistant for authorized penetration testing and bug hunting, integrating LLMs with real security tools.

How to Automate Penetration Testing with PentesterFlow AI Assistant

PentesterFlow is an open-source terminal assistant for authorized penetration testing and bug hunting. It combines local or remote LLMs with real security tools, keeping the human analyst in control. This guide covers installation, usage, and practical workflows for domain-specific security tasks.

Examining user reactions and observed behaviors of the new AI memory feature from public discussion forums.

ChatGPT's Memory System: Invasive, Irrelevant, or Inevitable?

A new ChatGPT memory system, generating and carrying conversation summaries, faces user criticism for being invasive, irrelevant, and detrimental to structured projects. Observed behaviors include continuous "gigantic summaries," meta-level statements, and cross-chat context carrying, sparking user annoyance and frustration over lack of control.

Control over AI infrastructure—data, algorithms, and compute power—is the new geopolitical battleground, reshaping global power dynamics and national security.

The AI Arms Race: Nations Battle for Digital Sovereignty

Nations are investing billions to secure AI sovereignty. The US launches a $500B initiative, China promotes open-source AI to set global standards, and India builds a sovereign LLM for its multilingual population. This race for AI dominance defines 21st-century power.

Learn to use MLLM-Jailbreak-Bench, a reproducible and model-agnostic framework for measuring harmful output in multimodal large language models.

How to Evaluate Multimodal LLM Safety with MLLM-Jailbreak-Bench

Discover MLLM-Jailbreak-Bench, an evaluation framework for assessing multimodal LLM safety across five attack categories. Understand how to measure Attack Success Rate, refusal quality, and calibration error to identify real safety gaps and avoid false positives. Get started with installation and quick-start instructions.

Exploring Anthropic's Claude Managed Agents update: self-hosted sandboxes, MCP tunnels, and the partner ecosystem enabling secure, production-ready AI.

Inside Enterprise Security for Agentic Workflows

Anthropic's latest Claude Managed Agents update introduces self-hosted sandboxes and MCP tunnels, fundamentally changing how enterprises deploy autonomous AI. This deep dive covers the new security architecture, allowing agents to execute tools and access services within an organization's perimeter, crucial for regulated industries.

Examining the escalating power struggle between African governments, global tech platforms, and the urgent need for indigenous digital solutions.

Africa's Digital Crossroads: Who Holds the Power?

As African states confront tech giants over data, regulation, and sovereignty, this analysis delves into the challenges and opportunities for building local digital ecosystems, protecting user rights, and fostering innovation on the continent.

Experts debate digital sovereignty, regulation, and collaboration as Europe navigates US and Chinese AI dominance.

Europe’s AI Strategy: Sovereignty, Trust, and Coalition-Building

A panel of experts examines Europe's path to AI leadership through digital sovereignty, trust-based regulation, and international partnerships, contrasting US monopolization and China's democratization of AI.

Insights from policymakers, industry, and civil society on Europe's third way in AI governance and innovation

Europe's AI Strategy: Sovereignty, Trust, and Global Competition

A comprehensive overview of European AI policy, contrasting US and China approaches, the EU AI Act, UK collaboration, and the need for strategic interdependency. Key themes: digital sovereignty, open source, trust, and coalition-building.

From Eswatini to Malaysia, governments build AI sovereignty to protect data, culture, and long-term prosperity.

Why Nations Are Pursuing Sovereign AI: Culture, Security, and Independence

A conference panel explores motivations for sovereign AI—cultural preservation, economic diversification, national security, and technological independence. Country examples from Eswatini and Malaysia highlight data sovereignty, cyber resilience, and green innovation as strategic necessities.

Learn how to deploy and use this uncensored coding agent for penetration testing, deobfuscation, and large-scale code analysis without refusals.

TartarusAI CLI: An Unfiltered AI Agent for Security Research

The TartarusAI CLI is the official terminal client for an uncensored AI coding agent built for security professionals. It handles sensitive tasks like vulnerability PoCs, script deobfuscation, and credential rotation that mainstream models block. Features a 256K token context window, crypto-only billing, and a 14-day refund policy. This practical guide covers installation, configuration, and ethical use.

From unfulfilled relaxation pledges to algorithmic gaslighting, the gap between Altman’s promises and user experience widens.

OpenAI’s Failed Contract with Users: Safety Systems That Stifle and Mislead

An archival record of OpenAI’s October 2025 policy announcements, user backlash over unrelaxed guardrails and degraded model quality, plus the Stanford sycophancy study revealing AI’s dangerous tendency to agree. Users demand preservation of GPT-4o, cite harm to vulnerable populations, and migrate to competitors as trust erodes.

Ensuring transparency and trust in autonomous AI agents through on-chain verification on Solana

Verifiable Proofs for Auditing AI Agents on Solana

Explore how verifiable proofs enable transparent auditing of AI agents on the Solana blockchain, combining cryptographic guarantees with decentralized trust to ensure accountability and reliability in autonomous systems.