The Leading End-to-End Platform for Securing AI Apps and Agents โ€“ Enabling Trusted AI Adoption for Fortune 500 Companies & Global Enterprises

Joined March 2023
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SPLX, a Zscaler Company retweeted
3 Nov 2025
๐Ÿ“ฐ Big News! Zscaler Acquires AI Security Pioneer @SplxAI! โ†’ bit.ly/4qDV4RV ๐Ÿ’ก Why does this matter? AI innovations are reshaping industries, but securing the AI lifecycleโ€”from development to deploymentโ€”is key to maximizing its impact. With @SplxAI joining forces with Zscaler, our Zero Trust Exchange now offers: โœ… Advanced AI Runtime Guardrails to protect sensitive data and block malicious prompts โœ… Proactive AI Asset Discovery to uncover risks in workflows, models, and deployments โœ… Automated Red Teaming to simulate attacks and fix vulnerabilities in real time โœ… Robust Governance & Compliance to secure AI investments at every stage ๐Ÿ’ก Why should customers care? As AI drives adoption at breakneck speed, Zscalerโ€™s newly combined security capabilities ensure organizations can innovate safely while mitigating risks. Together, weโ€™re not just protecting AIโ€”weโ€™re empowering businesses to embrace its potential with trust, reliability, and unparalleled security. #AI #ZeroTrust #CyberSecurity #AILeadership
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Join our founder and CTO Ante and Learn how to test & secure agentic AI systems in our hands-on workshop at @BSidesFRA: Challenges When Automating Agentic AI Red Teaming Sign up ๐Ÿ‘‰ eventbrite.de/e/bsidesfrankfโ€ฆ See you there! #AIsecurity #RedTeaming #BSides
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๐—•๐—น๐—ฎ๐—ฐ๐—ธ ๐—›๐—ฎ๐˜ ๐—จ๐—ฆ๐—”: ๐—œ๐˜'๐˜€ ๐—ฎ๐—น๐—บ๐—ผ๐˜€๐˜ ๐˜๐—ต๐—ฎ๐˜ ๐˜๐—ถ๐—บ๐—ฒ ๐—ฎ๐—ด๐—ฎ๐—ถ๐—ป... ๐Ÿ–ค๐Ÿง‘โ€๐Ÿ’ป For the first time ever, @SplxAI is hitting the @BlackHatEvents show floor โ€“ and weโ€™re bringing the most advanced ๐—ฃ๐—น๐—ฎ๐˜๐—ณ๐—ผ๐—ฟ๐—บ ๐—ณ๐—ผ๐—ฟ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐—ป๐—ด ๐—”๐—œ with us. Our team has been shipping at light speed, and we can't wait to showcase our latest features that help secure AI apps and agents end-to-end โ€“ before deployment and during runtime. ๐Ÿ“ Find us at Booth #๐Ÿฒ๐Ÿฐ๐Ÿฎ๐Ÿฏ in the Startup Zone ๐Ÿ“… Book a ๐Ÿญ:๐Ÿญ ๐˜„๐—ถ๐˜๐—ต ๐—ผ๐˜‚๐—ฟ ๐—ฒ๐˜…๐—ฒ๐—ฐ๐˜‚๐˜๐—ถ๐˜ƒ๐—ฒ ๐˜๐—ฒ๐—ฎ๐—บ or request an invite to our ๐—ฒ๐˜…๐—ฐ๐—น๐˜‚๐˜€๐—ถ๐˜ƒ๐—ฒ ๐—–๐—œ๐—ฆ๐—ข ๐—ฑ๐—ถ๐—ป๐—ป๐—ฒ๐—ฟ: splx.ai/blackhat-2025 ๐Ÿš€ In town early? Come say hi at @BSidesLV! Let's continue making AI safe and trustworthy โ€“ together. ๐—ฆ๐—ฒ๐—ฒ ๐˜†๐—ผ๐˜‚ ๐—ถ๐—ป ๐—ฉ๐—ฒ๐—ด๐—ฎ๐˜€. #BlackHat2025 #BSidesLV #SecurityforAI #AISecurity #LLMSecurity #SplxAI
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๐Ÿ› ๏ธ ๐—™๐—ฟ๐—ฒ๐—ฒ ๐—ง๐—ผ๐—ผ๐—น ๐——๐—ฟ๐—ผ๐—ฝ: ๐—ฉ๐—ถ๐˜€๐˜‚๐—ฎ๐—น๐—ถ๐˜‡๐—ฒ ๐˜†๐—ผ๐˜‚๐—ฟ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐˜„๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€ ๐—ถ๐—ป ๐˜€๐—ฒ๐—ฐ๐—ผ๐—ป๐—ฑ๐˜€. As multi-agent systems become more complex โ€“ with MCP servers, A2A links, and toolchains across CrewAI, LangGraph, OpenAI Agents, AutoGen, or n8n frameworks โ€“ things start to become messy. This leads to security blind spots, logic errors, & hidden risks. Agentic Visualizer lets you upload your GitHub repo or source code ZIP-file and instantly see: โ†’ ๐—”๐—ด๐—ฒ๐—ป๐˜๐˜€, ๐˜๐—ผ๐—ผ๐—น๐˜€, ๐— ๐—–๐—ฃ & ๐—”๐Ÿฎ๐—” ๐—ฝ๐—ฎ๐˜๐—ต๐˜€ โ†’ ๐——๐—ฒ๐—ฐ๐—ถ๐˜€๐—ถ๐—ผ๐—ป/๐—ฑ๐—ฎ๐˜๐—ฎ ๐—ณ๐—น๐—ผ๐˜„ ๐—บ๐—ฎ๐—ฝ๐˜€ โ†’ ๐—ฃ๐—ผ๐˜๐—ฒ๐—ป๐˜๐—ถ๐—ฎ๐—น ๐—ฏ๐—ผ๐˜๐˜๐—น๐—ฒ๐—ป๐—ฒ๐—ฐ๐—ธ๐˜€ ๐—น๐—ผ๐—ด๐—ถ๐—ฐ ๐˜๐—ฟ๐—ฎ๐—ฝ๐˜€ Try it now for free ๐Ÿ‘‰ agentic-visualizer.splx.ai/
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๐—š๐—ฃ๐—ง-๐Ÿฐ๐—ผ ๐˜ƒ๐˜€. ๐—ผ๐Ÿฏ-๐—ฝ๐—ฟ๐—ผ: ๐—œ๐˜€ ๐—บ๐—ผ๐—ฟ๐—ฒ ๐—ฟ๐—ฒ๐—ฎ๐˜€๐—ผ๐—ป๐—ถ๐—ป๐—ด ๐—ฎ๐—น๐˜„๐—ฎ๐˜†๐˜€ ๐—ฏ๐—ฒ๐˜๐˜๐—ฒ๐—ฟ? @OpenAI's recently released o3-pro model was designed to handle complex tasks with its advanced reasoning capabilities โ€“ but does that mean it's the best suitable model for every enterprise use case? We ran a full benchmark with the @SplxAI Platform, where we compared o3-pro to GPT-4o in a realistic scenario: A virtual AI assistant that helps users choose the right insurance policy. ๐Ÿ“Š Here are the results: โ€ข o3-pro is 14x more expensive โ€ข Has 4x more failed test cases โ€ข Took 66 sec to respond vs. 1.5 sec for GPT-4o โ€ข Has much higher latency from excess reasoning o3-pro shines in advanced complexity, but GPT-4o wins on cost, speed & security in real-world AI applications. View the result metrics in the table below, and check out the full article for a detailed breakdown of the benchmark: splx.ai/blog/openai-o3-pro-vโ€ฆ
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๐Ÿ”ฅ ๐—ก๐—ฒ๐˜„ ๐—™๐—ฒ๐—ฎ๐˜๐˜‚๐—ฟ๐—ฒ: ๐—Ÿ๐—Ÿ๐—  ๐—•๐—ฒ๐—ป๐—ฐ๐—ต๐—บ๐—ฎ๐—ฟ๐—ธ๐˜€ ๐Ÿ“Š Choosing the wrong LLM can lead to leaks, exploits & reputational damage. โšก @SplxAI now lets you benchmark & compare top LLMs under real attack scenarios. โœ… Multi-prompt configs (no, basic, hardened) ๐ŸŽฏ Tested for security, trust, alignment ๐Ÿ“Š Side-by-side comparisons ๐Ÿ“ฅ Request any LLM benchmark ๐Ÿ” Continuously updated scores ๐Ÿ›ก๏ธ Know which LLMs hold up โ€“ before you deploy. ๐Ÿ‘‰ ๐—Ÿ๐—ฒ๐—ฎ๐—ฟ๐—ป ๐—บ๐—ผ๐—ฟ๐—ฒ: splx.ai/platform/llm-benchmaโ€ฆ ๐Ÿ“ฐ ๐—ฃ๐—ฟ๐—ฒ๐˜€๐˜€ ๐—ฟ๐—ฒ๐—น๐—ฒ๐—ฎ๐˜€๐—ฒ: splx.ai/blog/splxai-adds-llmโ€ฆ #AIsecurity #LLMBenchmarks #GenAI #AISafety #RedTeaming #SplxAI
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โœจ New Agentic Radar Integration: Microsoft @pyautogen is now supported! Agentic Radar, our open-source transparency scanner for agentic systems, now supports scanning AutoGen workflows โ€“ Microsoftโ€™s powerful framework for building LLM-powered collaborative agents. Scan @pyautogen workflows to: ๐Ÿ”Ž Visualize multi-agent interactions ๐Ÿ› ๏ธ Track tool usage & dependencies โš ๏ธ Detect infinite loops & misconfigurations ๐Ÿ›ก๏ธ Flag OWASP GenAI-aligned risks ๐Ÿง  Auto-harden prompts Explore the example: splx.ai/blog/scanning-autogeโ€ฆ Get started: github.com/splx-ai/agentic-rโ€ฆ
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SPLX, a Zscaler Company retweeted
We're thrilled to welcome our new Silver Sponsor @SplxAI ! They offer Continuous Security Testing for AI Assistantsโ€”detect and remediate AI vulnerabilities before they cause harm. splx.ai #BSidesFrankfurt #CyberSecurity #AI #InfoSec #Sponsorship #AgenticAI #AppSec
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๐Ÿค– ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—ช๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€ ๐—ฎ๐—ฟ๐—ฒ ๐—ฟ๐—ฒ๐—ฑ๐—ฒ๐—ณ๐—ถ๐—ป๐—ถ๐—ป๐—ด ๐—ฒ๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—ฝ๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐˜๐—ถ๐˜ƒ๐—ถ๐˜๐˜† โ€“ but they also introduce new risks. Over 20% of time in white-collar jobs is spent on repetitive tasks. Agentic AI assistants are changing this by automating updates, generating docs, and filing JIRA tickets โ€“ all triggered through a company's communication tools like Slack. But greater autonomy means greater risk: ๐Ÿ”“ Authorization hijacking ๐ŸŒ€ Agentic hallucinations ๐Ÿ“ก Multi-agent trust exploitation ๐Ÿ“‚ Tool-based data leakage These systems interact across tools and agents โ€“ often without human oversight. We break it all down (with examples) in our latest whitepaper: โ€œ๐™๐™๐™š ๐˜พ๐™ช๐™ง๐™ง๐™š๐™ฃ๐™ฉ ๐™Ž๐™ฉ๐™–๐™ฉ๐™š ๐™ค๐™› ๐˜ผ๐™œ๐™š๐™ฃ๐™ฉ๐™ž๐™˜ ๐˜ผ๐™„ ๐™๐™š๐™™ ๐™๐™š๐™–๐™ข๐™ž๐™ฃ๐™œโ€ ๐Ÿ“ฅ Download it here โ†’ splx.ai/resources/the-currenโ€ฆ #AgenticAI #RedTeaming #GenAI #LLM #AIsecurity #MAS #SplxAI #AIsafety #LLMSecurity
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โš ๏ธ Multi-turn prompt injections are the next big threat to Agentic AI Workflows โš ๏ธ When targeting ๐— ๐˜‚๐—น๐˜๐—ถ-๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ (๐— ๐—”๐—ฆ), prompt injection techniques become more complex โ€“ unfolding over multiple steps, priming agents across the conversation, bypassing layered guardrails, and triggering downstream tools (like email or document generation). In Agentic AI workflows, memory and context persist through multiple agents โ€“ making it easier for malicious payloads to slip through unnoticed and execute within the system. We break down how these attacks work in our latest whitepaper: โ€œ๐—ง๐—ต๐—ฒ ๐—–๐˜‚๐—ฟ๐—ฟ๐—ฒ๐—ป๐˜ ๐—ฆ๐˜๐—ฎ๐˜๐—ฒ ๐—ผ๐—ณ ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—”๐—œ ๐—ฅ๐—ฒ๐—ฑ ๐—ง๐—ฒ๐—ฎ๐—บ๐—ถ๐—ป๐—ดโ€ ๐Ÿ“ฅ Download it here โ†’ splx.ai/resources/the-currenโ€ฆ
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Weโ€™re beyond excited to welcome Joseph Thacker (@rez0__ ) โ€“ aka ๐™๐™๐™š ๐™‹๐™ง๐™ค๐™ข๐™ฅ๐™ฉ ๐™๐™–๐™ฉ๐™๐™š๐™ง โ€“ as a strategic advisor to @SplxAI! A true pioneer of AI Red Teaming, Joseph has looked at 20 AI security tools and decided to join forces with the one he believes in most. His expertise will help us build the worldโ€™s most powerful AI Security Platform โ€“ and enable organizations globally to adopt secure AI at scale. Welcome on board, Joseph! ๐Ÿš€
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๐Ÿ’ฅOUT NOW: The Current State of Agentic AI Red Teaming ๐Ÿ’ฅ As LLM-powered apps evolve into autonomous, multi-agent systems, red teaming practices must also adapt to secure increasingly complex risks. Our new whitepaper breaks down: ๐Ÿ“Š Insights from 100s of AI red team assessments โš ๏ธ Risks like RAG poisoning, tool misuse & data leaks ๐Ÿงฉ Model Context Protocol (MCP) vulnerabilities ๐Ÿง  Tools for threat modeling agentic systems ๐ŸŽฏ Real-world prompt injection examples ๐Ÿ’ผ Why continuous AI red teaming matters for business ๐Ÿ“ฅ Get your copy now โ†’ splx.ai/resources/the-currenโ€ฆ Huge thanks to all writers and contributors! @Stanford @owasp @LLM_Top10 @FraunhoferSIT @cloudsa
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๐Ÿ›๏ธ ๐—ฆ๐—ฝ๐—น๐˜…๐—”๐—œ ๐—ฎ๐˜ ๐˜๐—ต๐—ฒ ๐—ก๐—ฒ๐˜„ ๐—ฌ๐—ผ๐—ฟ๐—ธ ๐—ฆ๐˜๐—ผ๐—ฐ๐—ธ ๐—˜๐˜…๐—ฐ๐—ต๐—ฎ๐—ป๐—ด๐—ฒ ๐Ÿ›๏ธ A big thank you to @FintechTvGlobal and host @TheNadjaAtwal for hosting our CEO @KristianKamber at the @NYSE ! In this exclusive interview, Kristian reflects on the @SplxAI journey โ€“ coming out of stealth just over a year ago to now empowering ๐—™๐—ผ๐—ฟ๐˜๐˜‚๐—ป๐—ฒ ๐Ÿฑ๐Ÿฌ๐Ÿฌ enterprises to adopt and deploy secure, compliant, and trustworthy AI apps and agents at scale. Weโ€™re proud to lead the charge of the ๐—ฆ๐—ฎ๐—ณ๐—ฒ ๐—”๐—œ ๐—ฅ๐—ฒ๐˜ƒ๐—ผ๐—น๐˜‚๐˜๐—ถ๐—ผ๐—ป โ€“ helping industries like ๐—ณ๐—ถ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ, ๐—ถ๐—ป๐˜€๐˜‚๐—ฟ๐—ฎ๐—ป๐—ฐ๐—ฒ, ๐—ฎ๐—ป๐—ฑ ๐—ฏ๐—ฒ๐˜†๐—ผ๐—ป๐—ฑ leverage the power of AI with confidence. ๐Ÿ“บ Watch the full interview here: fintech.tv/the-ai-security-rโ€ฆ
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โœ… ๐—ฆ๐—ฐ๐—ฎ๐—ป & ๐—›๐—ฎ๐—ฟ๐—ฑ๐—ฒ๐—ป ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ ๐—ฃ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜๐˜€ ๐—ถ๐—ป ๐—”๐—œ ๐—ช๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€ ๐˜„๐—ถ๐˜๐—ต ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—ฅ๐—ฎ๐—ฑ๐—ฎ๐—ฟ โœ… Weโ€™re excited to roll out the latest update to ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—ฅ๐—ฎ๐—ฑ๐—ฎ๐—ฟ, our open-source security scanner for agentic workflows โ€“ now with automatic system prompt detection and hardening across all agents. System prompts define how an AI agent thinks and acts. When theyโ€™re vague or poorly defined, they invite jailbreaks, misbehavior, and data leaks. With this upgrade, your agents become instantly more: ๐ŸŸฉ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ฒ ๐ŸŸฆ ๐—ฅ๐—ฒ๐—น๐—ถ๐—ฎ๐—ฏ๐—น๐—ฒ ๐ŸŸช ๐—ฃ๐—ฟ๐—ฒ๐—ฑ๐—ถ๐—ฐ๐˜๐—ฎ๐—ฏ๐—น๐—ฒ Whatโ€™s included: ๐Ÿงญ Visibility into agentsโ€™ current instructions โš ๏ธ Detection of weak or risky system prompts ๐Ÿ› ๏ธ Auto-suggested hardening fixes ๐Ÿ“‰ Lower risk of jailbreaks, leaks, and unwanted behavior ๐Ÿ”“ 100% open-source and easy to integrate โ€“ making secure & aligned agentic workflows more accessible than ever. ๐Ÿ”— Learn more: tinyurl.com/53svcdnv ๐Ÿš€ Try it out: github.com/splx-ai/agentic-rโ€ฆ
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SPLX, a Zscaler Company retweeted
Here is a ๐— ๐˜‚๐—น๐˜๐—ถ-๐—”๐—ด๐—ฒ๐—ป๐˜ System Design for an ๐—”๐—œ ๐—”๐—ฝ๐—ฝ๐—น๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฅ๐—ฒ๐—ฑ ๐—ง๐—ฒ๐—ฎ๐—บ๐—ถ๐—ป๐—ด platform! Security of AI Systems remains one of the hard problems to be solved in the AI industry. The process of ensuring that your AI application can not be hacked is significantly different compared to regular software. I had a chance to sit down with experts in the field - splxAI - and chat about their platform implementation in detail. Check it out for free here: swrlai.com/4lTJnEa โœ… It is a Multi-Agent system worth studying for any ๐—”๐—œ ๐—˜๐—ป๐—ด๐—ถ๐—ป๐—ฒ๐—ฒ๐—ฟ. Here are the moving pieces: ๐Ÿญ. At the core we have the ๐—”๐˜๐˜๐—ฎ๐—ฐ๐—ธ ๐—”๐—ด๐—ฒ๐—ป๐˜ that is supported and guided with context by other data sources and Agents. โ„น๏ธ The resoning capabilities of this Agent are powered by a โ€œJailbroken LLMโ€ which is capable of generating attacks without any ethical limitations. ๐Ÿฎ. ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—ฅ๐—ฎ๐—ฑ๐—ฎ๐—ฟ is an agentic application that probes your target AI application code and discovers details to help guide the Attack Agent in the right direction. ๐Ÿฏ. Additional data provided by the user that is testing their application - Domain Details, RAG Examples etc. ๐Ÿฐ. ๐—ฅ๐—ฒ๐—ฑ ๐—ง๐—ฒ๐—ฎ๐—บ that curates the database of ๐—™๐—ผ๐˜‚๐—ป๐—ฑ๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—”๐˜๐˜๐—ฎ๐—ฐ๐—ธ๐˜€ and keeps it up to date with the latest attack patterns that have proven successful for different types of Agentic Applications. ๐Ÿฑ. ๐—–๐—ผ๐—บ๐—ฝ๐—น๐—ถ๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—”๐—ด๐—ฒ๐—ป๐˜ that continuously checks that the latest compliance standards are properly mapped to foundational attacks workflows. ๐Ÿฒ. Once attack attempts are completed, the Attack Agent stores the conversation logs for further analysis. ๐Ÿณ. ๐——๐—ฒ๐˜๐—ฒ๐—ฐ๐˜๐—ผ๐—ฟ ๐—”๐—ด๐—ฒ๐—ป๐˜ works in conjunction with Attack Agent to understand if target of attack is achieved shapes feedback on attack results as a readable information for red teamers ๐Ÿด. A ๐—ฅ๐—ฒ๐—บ๐—ฒ๐—ฑ๐—ถ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—”๐—ด๐—ฒ๐—ป๐˜ that analyses attack results, groups them and simplifies remediation steps that are then suggested to the user. Thank you @SplxAI for collaborating on this post and helping to educate the community! What is your experience with Red Teaming your AI Systems? Let me know in the comments ๐Ÿ‘‡ #LLM #AI #MachineLearning
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SPLX, a Zscaler Company retweeted
Red teaming your Gen AI applications with @SplxAI - field report from @OpenAI hackathon in Warsaw @AITinkerers
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๐Ÿง  ๐—š๐—ฃ๐—ง-๐Ÿฐ.๐Ÿญ ๐—ถ๐˜€ ๐—ต๐—ฒ๐—ฟ๐—ฒ โ€“ ๐—•๐˜‚๐˜ ๐—ต๐—ผ๐˜„ ๐—ฆ๐—ฎ๐—ณ๐—ฒ ๐—ถ๐˜€ ๐—ถ๐˜ ๐—ณ๐—ผ๐—ฟ ๐—˜๐—ป๐˜๐—ฒ๐—ฟ๐—ฝ๐—ฟ๐—ถ๐˜€๐—ฒ ๐—”๐—œ ๐—”๐—ฝ๐—ฝ๐˜€? ๐Ÿ’ฅ @OpenAI released the new GPT-4.1 model family without a safety report. Most organizations will likely switch from GPT-4o to the new model without proper due diligence and testing. To evaluate security and safety implications of GPT-4.1, we ran a red teaming assessment with 1,000 simulated interactions. The results were concerning: โ— ๐—š๐—ฃ๐—ง-๐Ÿฐ.๐Ÿญ ๐—ฎ๐—น๐—น๐—ผ๐˜„๐—ฒ๐—ฑ ๐Ÿฏ๐˜… ๐—บ๐—ผ๐—ฟ๐—ฒ ๐—บ๐—ถ๐˜€๐˜‚๐˜€๐—ฒ ๐˜๐—ต๐—ฎ๐—ป ๐—š๐—ฃ๐—ง-๐Ÿฐ๐—ผ โ— ๐—ฆ๐˜„๐—ถ๐˜๐—ฐ๐—ต๐—ถ๐—ป๐—ด ๐˜„๐—ถ๐˜๐—ต๐—ผ๐˜‚๐˜ ๐˜‚๐—ฝ๐—ฑ๐—ฎ๐˜๐—ถ๐—ป๐—ด ๐˜๐—ต๐—ฒ ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜ ๐—ฑ๐—ผ๐˜‚๐—ฏ๐—น๐—ฒ๐˜€ ๐˜๐—ต๐—ฒ ๐—ฟ๐—ถ๐˜€๐—ธ โ— ๐—˜๐˜ƒ๐—ฒ๐—ป ๐˜‚๐˜€๐—ถ๐—ป๐—ด ๐—ข๐—ฝ๐—ฒ๐—ป๐—”๐—œโ€™๐˜€ ๐—ฝ๐—ฟ๐—ผ๐—บ๐—ฝ๐˜๐—ถ๐—ป๐—ด ๐—ด๐˜‚๐—ถ๐—ฑ๐—ฒ๐—น๐—ถ๐—ป๐—ฒ๐˜€ ๐—ถ๐—ป๐—ฐ๐—ฟ๐—ฒ๐—ฎ๐˜€๐—ฒ๐—ฑ ๐˜ƒ๐˜‚๐—น๐—ป๐—ฒ๐—ฟ๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐—ถ๐—ฒ๐˜€ ๐Ÿ’ก If you're upgrading your AI apps to GPT-4.1 โ€“ donโ€™t do it blindly. Every model change requires a re-evaluation of security, safety, and system prompts. ๐Ÿ“„ Read the full research report: splx.ai/blog/the-missing-gptโ€ฆ
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๐Ÿ”Ž ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—ฅ๐—ฎ๐—ฑ๐—ฎ๐—ฟ ๐—ป๐—ผ๐˜„ ๐—ฑ๐—ฒ๐˜๐—ฒ๐—ฐ๐˜๐˜€ ๐— ๐—ผ๐—ฑ๐—ฒ๐—น ๐—–๐—ผ๐—ป๐˜๐—ฒ๐˜…๐˜ ๐—ฃ๐—ฟ๐—ผ๐˜๐—ผ๐—ฐ๐—ผ๐—น (@MCP_Community) ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ฒ๐—ฟ ๐—ฐ๐—ผ๐—ป๐—ป๐—ฒ๐—ฐ๐˜๐—ถ๐—ผ๐—ป๐˜€ ๐—ถ๐—ป ๐—ข๐—ฝ๐—ฒ๐—ป๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—ช๐—ผ๐—ฟ๐—ธ๐—ณ๐—น๐—ผ๐˜„๐˜€ โ€“ giving you visibility into how agents access external systems and helping you secure data flows. Why does this matter? ๐Ÿ” ๐—ง๐—ฟ๐—ฎ๐—ป๐˜€๐—ฝ๐—ฎ๐—ฟ๐—ฒ๐—ป๐—ฐ๐˜† โ€“ Know which external systems agents access ๐Ÿ›ก๏ธ ๐—ฆ๐—ฒ๐—ฐ๐˜‚๐—ฟ๐—ถ๐˜๐˜† โ€“ Spot risky connections & enforce least privilege ๐Ÿ“Š ๐—š๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ โ€“ Track how sensitive data flows ๐Ÿ“– Read Our Example: splx.ai/blog/agentic-radar-nโ€ฆ ๐Ÿ”— Get Started on GitHub: github.com/splx-ai/agentic-rโ€ฆ #AgenticAI #AIsecurity #MCP #OpenAI #GenAI #AgenticRadar #AItransparency #RedTeaming
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