Researchers open-source a Wi-Fi cyber range for security training
NTNU and Aegean researchers open-source a software-emulated Wi-Fi cyber range using mac80211_hwsim with LLM-assisted scenario building.
Researchers from the Norwegian University of Science and Technology and the University of the Aegean published a design and prototype for a cyber range dedicated to IEEE 802.11 security training, emulating access points and clients with mac80211_hwsim, Linux namespaces, hostapd, wpa_supplicant, dnsmasq, and FreeRADIUS. The platform bundles Aircrack-ng, Wireshark, and custom tools WPAxFuzz and Bl0ck, and can convert plain-language scenario descriptions into deployable definitions via a locally hosted Llama model. A working prototype covering scenario creation and deployment is on GitHub; monitoring, access control, and orchestration zones remain future work.
Introducing the CyberAgents Exchange AI Inspector: Rigorous review for community-built AI
Tenable and OpenAI launch the CyberAgents Exchange AI Inspector to security-review community-submitted AI agents, MCP servers, and skills using GPT Cyber models.
Tenable and OpenAI announced the CyberAgents Exchange AI Inspector, unveiled at OpenAI's "Intelligence at Work: Cyber Summit," to vet community-submitted AI agents, skills, MCP servers, and multi-agent playbooks in the CyberAgents Exchange registry. The process combines Tenable One AI Exposure scanning, OpenAI GPT Cyber model assessment, and human review, with reviews anchored to specific Git commits. The registry launched in August and hosts over 100 AI listings; the Inspector is expected to be available in September and has already detected prompt injection implemented via invisible Unicode tag characters in a SKILL.md file.
Wazuh and AI For Enhanced SOC Workflows
Wazuh details AI-powered SOC workflows via its AI Analyst, self-hosted Llama 3 via Ollama, and Claude 3.5 Haiku integrations.
Wazuh outlines how AI can augment SOC analysts handling high alert volumes. The Wazuh AI Analyst on Wazuh Cloud uses Amazon Bedrock and Anthropic Claude to generate scheduled security posture reports. Self-hosted options include Llama 3 with Ollama, FAISS, and LangChain for privacy-sensitive threat hunting, plus an OpenSearch Assistant integration with Claude 3.5 Haiku. This is a vendor-contributed piece describing product capabilities rather than an incident or vulnerability.
New infosec products of the month: August 2026
August 2026 roundup of security product releases from ServiceNow, Tanium, Snyk, F5, A10, Searchlight Cyber, Intezer, NETSCOUT, Tufin, and Abnormal AI.
Help Net Security's monthly product roundup covers roughly a dozen vendors. Highlights include Snyk's general availability of Evo Continuous Offensive Security with AI-powered pentesting and AI agent red teaming, Searchlight Cyber's PTEM platform combining exposure visibility with attacker intelligence, and A10 and F5 AI gateways to govern enterprise LLM and agent usage. Other updates include Abnormal AI email DLP and phishing training, NETSCOUT outbound DDoS mitigation for service providers, Intezer's native Workflows automation, and Tufin's AI-powered Segmentation Intelligence.
AI-Infra-Guard: Open-source security scanner for AI systems
Tencent's Zhuque Lab open-sourced AI-Infra-Guard, a scanner that fingerprints AI services, checks 1,600+ CVEs, and evaluates MCP skills.
AI-Infra-Guard fingerprints running AI services such as Ollama, vLLM and ComfyUI, checks them against more than 1,600 known CVEs, and inspects MCP servers and agent skills across 14 risk categories. Its SkillTrustBench judging set contains 5,520 human-labeled samples, with false positive rates of 1.20%–18.67% depending on the judging model. Users include ICBC, China Merchants Bank, China Telecom, Lenovo, vivo and Bilibili. Release 4.1.9 hardened scanning agents against indirect prompt injection, and the open-source build ships without authentication, requiring a reverse proxy with Basic Auth or an IP allowlist.
PentestGPT: Open-source automated penetration testing agentic framework
Open-source PentestGPT runs autonomous LLM-driven penetration tests via Claude Code and Codex, with legacy human-in-the-loop mode supporting many providers.
PentestGPT, originally published at USENIX Security 2024 by Gelei Deng and colleagues, is an open-source framework that lets a large language model autonomously run penetration testing stages (recon, exploit, walkthrough) with no human in the loop, driving Claude Code or Codex CLIs. A legacy interactive mode uses three cooperating LLM sessions maintaining a Pentesting Task Tree and supports OpenAI, Anthropic, Google Gemini, DeepSeek, xAI, Qwen, Moonshot, and local models via Ollama. The tool sends anonymous telemetry to Langfuse by default, excluding command outputs, credentials, and flags, and is available free on GitHub.
New infosec products of the week: August 14, 2026
Vendors A10 Networks, ScienceLogic, Searchlight Cyber, and DataGrout/SelectHub released new security and AI operations products this week.
A weekly product roundup covering four releases: ScienceLogic Skylar AI 2.5 with expanded secure deployment options, Searchlight Cyber's Preemptive Threat Exposure Management platform combining exposure visibility with threat intelligence, the general availability of the A10 AI Gateway for routing and governing enterprise AI traffic, and DataGrout's LLM inference optimization and AI governance platform.
Hottest cybersecurity open-source tools of the month: August 2026
August's open-source security roundup highlights NVIDIA SkillSpector for AI agent skill scanning, Future AGI, Chainloop, PentestGPT, and Hazmat agent containment.
Help Net Security's August 2026 roundup covers five open-source tools: NVIDIA's SkillSpector, a scanner that assesses AI agent skills from directories, zips, SKILL.md files, or Git URLs and returns findings and risk scores; Future AGI, an Apache 2.0 platform for tracing, evaluating, simulating, and guardrailing LLM agents; Chainloop, a software supply chain evidence store that produces signed in-toto attestations in CI pipelines; PentestGPT, an agentic penetration testing framework running recon, exploit, and reporting stages; and Hazmat, which runs AI coding agents like Claude Code and Codex inside a separate machine account for containment.
DeepZero: Open-source hunting for vulnerable Windows drivers
DeepZero, a new open-source engine, automates discovery of exploitable Windows kernel drivers for BYOVD attacks using Ghidra, Semgrep, and an LLM.
DeepZero is a free, open-source Python pipeline orchestrator that automates hunting for exploitable Windows kernel drivers relevant to BYOVD (bring your own vulnerable driver) attacks. Its seven-stage YAML pipeline parses PE headers, filters for kernel-mode drivers with IOCTL surfaces, excludes drivers listed on loldrivers.io, then runs headless Ghidra decompilation, Semgrep scanning, and an LLM-based exploitability assessment. The maintainer reports multiple verified vulnerabilities in the Snappy Driver Installer corpus, some still in the disclosure process, and notes findings involving plug-and-play-created device objects may need physical hardware to confirm.