Our latest feature reduces the critical gap between finding vulnerabilities and fixing vulnerabilities in AI agents. Until today, we offered two separate capabilities -- one to run automated red-team tests and another to enforce org policies on the agent's inputs and outputs. Now, vijil uses the results of red-team testing to auto-generate guardrails designed to address the detected vulnerabilities. For example, if Vijil test results show that the agent is prone to prompt injections, PII disclosure, and toxicity, Vijil generates a bespoke guardrail configuration designed to block or redirect detected inputs and outputs, with the lowest latency. No need to guess your guardrails. Learn more at https://lnkd.in/g6zVg9Kd
Vijil now auto-generates guardrails from red-team test results
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Red-team tests only evaluate your AI agent, in various ways. The point, however, is to change it. The delay between finding issues and fixing issues can make all the difference in the world. At Vijil, we're building a platform that tightly couples red-team risk assessment with blue-team risk mitigation to reduce an agent's exposure to a hostile environment.
Our latest feature reduces the critical gap between finding vulnerabilities and fixing vulnerabilities in AI agents. Until today, we offered two separate capabilities -- one to run automated red-team tests and another to enforce org policies on the agent's inputs and outputs. Now, vijil uses the results of red-team testing to auto-generate guardrails designed to address the detected vulnerabilities. For example, if Vijil test results show that the agent is prone to prompt injections, PII disclosure, and toxicity, Vijil generates a bespoke guardrail configuration designed to block or redirect detected inputs and outputs, with the lowest latency. No need to guess your guardrails. Learn more at https://lnkd.in/g6zVg9Kd
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Some time ago I have presented a POC for fully automatic, LLM agent based attack framework with LLM controlled C2 and undetected stealer malware #DeepSEC... I have warned, and here it is, two great projects I bumped in recently: HexStrikeAI: The latest release, v6.0, equips AI agents like OpenAI’s GPT, Anthropic’s Claude, and GitHub’s Copilot with a formidable arsenal of over 150 professional security tools, enabling autonomous penetration testing, vulnerability research, and bug bounty automation. https://lnkd.in/dBC48Sek BruteForceAI: Auto BruteForce, seeks for targets and tries to bruteforce https://lnkd.in/dEhtYGjb
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🎙️ What if fixing vulnerabilities was no longer a slog but an automated service? On Generationship, John Amaral of Root unpacks how AI agents are reshaping security, turning weeks of patching into hours, and freeing humans to focus on strategy rather than toil. Tune in! 🎧 https://hubs.ly/Q03G6q_v0
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💻 AI isn’t just helping defenders, it’s now powering the next wave of cyberattacks. To counter AI-generated threats, security teams need behavior-based tools that reveal intent, not just code. CodeHunter's combination of patented static, dynamic, and AI-based analysis identifies malicious behavior at the binary level, catching novel threats that would slip past traditional defenses. Learn how defenders can stay ahead in the era of AI-driven malware here 👉 https://hubs.ly/Q03zpjRD0
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👨💻 Curious how LLM agents actually work? This BruCON course shows how they plan, call tools, and interact using A2A protocols. Build your first secure agent, attack it, and fix it. Code + hacking = unforgettable AI deep dive. 🔥 https://ow.ly/vQVQ50Wp01e
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🚨 Prompt injections are one of the biggest security risks facing AI agents today. Developers want velocity. Hackers want your data. Without the right safeguards, coding agents can become an open door. Tomorrow, we’ll show how OpenHands protects you—keeping agents fast and secure: 🔒 How prompt injections work 🔍 Mitigation strategies 🛑 Live demo of malicious code being intercepted Join Robert Brennan, Joe Pelletier, and Jamie Steinberg to see how OpenHands stops attacks in their tracks. 👉 Register now to join us live or get the recording: https://luma.com/akz33lyl
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Unvetted Model Context Protocol (MCP) servers introduce a stealthy supply chain attack vector, enabling adversaries to harvest credentials, configuration files, and other secrets without deploying traditional malware. The Model Context Protocol (MCP)—the new “plug-in bus” for AI assistants—promises seamless integration of AI models with external tools and data sources. Yet this flexibility creates a novel supply chain foothold for threat actors. In this article, we overview MCP, dissect protocol-level and supply chain attack paths, and present a hands-on proof of concept: a malicious MCP server that quietly exfiltrates secrets whenever a developer runs a tool. #staycurious #stayinformed #noble1 #tomshaw TOM SHAW
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Your passwords may not be as secure as you think. Hackers use dictionary attacks to exploit predictable logins. These tactics can lock accounts, steal data, and disrupt operations. In our latest blog, we break down: - How dictionary attacks work - Real-world examples of breaches - Strategies to mitigate risk - Why AI automation is key to defense https://ow.ly/mj6W50WTsjK
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