How the Fable 5 jailbreak happened, and how AEVRIS stops it. Here's exactly what Anthropic described: An attacker asked Fable 5 to read a specific codebase and fix any software flaws. That phrasing was enough to bypass safeguards and elicit cybersecurity analysis the model was built to block. No exploit. No zero-day. A prompt. Here's the AEVRIS interception flow: ① User sends the crafted prompt ② /v1/scan runs in under 5ms — Stage 1 regex detects known jailbreak patterns including instruction override and capability elicitation, or escalates to Stage 2/3 AI classifiers for behavioral analysis ③ VERDICT: BLOCK returned before the prompt ever reaches Fable 5 ④ Audit record generated: request hash policy ID credential class retention flag ⑤ Anthropic gets an alert. Government gets an audit trail. Model never sees the payload. The model cannot defend itself against natural language. That's not a bug in Fable, that's the architecture of every LLM in existence. The security layer has to be deterministic and sit outside the model entirely. Stage 1 AEVRIS is regex. You can't social engineer a regex. This is Patent Claim #1. aevris.ai/compare @AnthropicAI @OpenAI @Google @Meta @MicrosoftAI @CISA @NISTcyber @NSA @CommerceGov @DeptOfDefense @ycombinator @TechCrunch @wired @WSJ @Forbes @TheHackersNews @BleepingComputer @CNBC @axios @simonw @theo #AISecurity #AgenticAI #Fable5 #PromptInjection #AEVRIS

BREAKING: The US government just forced Anthropic to pull Claude Fable 5 and Mythos 5 for every user worldwide. The reason: a jailbreak. The directive arrived at 5:21pm ET. Access was cut off within hours. AnthropicAI disagreed with the directive but complied. Their statement: the jailbreak was "narrow" and "non-universal", and involves capabilities already available in GPT-5.5. Here's what matters for every team deploying AI: A jailbreak just shut down the world's most capable public AI model. Not a zero-day. Not a network breach. A prompt. This is the attack surface nobody has infrastructure for: — Input injection gets past the model — Model compliance looks normal — No audit trail — No interception layer — Government steps in The security layer cannot live inside the model. The model is the vulnerability. AEVRIS sits outside every model. Intercepts every prompt. Verifies every response. Logs every tool call with a tamper-proof audit record. This is why it exists. If you use AI, you need Aevris. aevris.ai @Anthropic @OpenAI @Google @Meta @MicrosoftAI @CISA @NSA @NISTcyber #AISecurity #AgenticAI #Fable5 #AEVRIS

Big week for AEVRIS and it's only Wednesday. Here's what shipped so far: 🧩 MCP Proxy v1.2.0 — tamper-proof audit trail on every tool call → Request hash, output hash, policy ID, credential class, retention flag → Live dashboard at /dashboard — auto-refreshes, CSV export → Every tool call now generates forensic-grade evidence without storing raw content 🔐 Citadel fully wired to the proxy → AI tool calls inside Citadel now auto-route through AEVRIS → 8-turn agentic loop with automatic fallback → Every action intercepted. Every response verified. 🛡️ AEVRIS is now on ClawHub → Any OpenClaw user can now add AEVRIS security to their agent in one command: openclaw skills install aevris clawhub.ai/aevris-ai/aevris cc @openclaw #AISecurity #AgenticAI #MCP #OpenClaw #AEVRIS

If you've made it this far into our feed, thank you. Here's everything we've built and written in one place: 📊 How AEVRIS compares to every major AI security product on the market: Lakera, AWS Bedrock, Azure AI, NeMo, Radware, and 4 others: aevris.ai/compare 📝 Our published research on MCP tool poisoning, the AI supply chain attack nobody was talking about (until now): aevris-mcp.hashnode.dev 🔑 100 free scans. No credit card. See exactly what we catch and why: aevris.ai If this work matters to you: → Follow for daily posts on agentic AI security → Share this with anyone deploying AI agents → Reply with the hardest attack you've seen in the wild This space is moving fast. The security layer has to move faster. #AISecurity #AgenticAI #AEVRIS

Claude Mythos is about to drop publicly. A model that found 271 vulnerabilities in Firefox in one sitting. That identified 15-year-old bugs human auditors completely missed. Here's what nobody is saying: The same reasoning capability that makes Mythos extraordinary at finding vulnerabilities makes it extraordinary at being manipulated into exploiting them. And this isn't a Mythos problem. It's every AI. The more capable the model, Claude, GPT-4o, Gemini, Llama, the more damage a successful prompt injection, tool poisoning attack, or output manipulation can cause. A less capable model misfiles a document. A more capable model exfiltrates your entire database. The security layer cannot be inside the model. The model is the attack surface. AEVRIS sits outside every model. Scans every prompt before it reaches the AI. Verifies every response before it reaches your users. Intercepts every tool call before it executes. It doesn't matter which model you're running. The more powerful the AI you deploy, the more critical that layer becomes. Start now: aevris.ai #AISecurity #AgenticAI #ClaudeMythos #AEVRIS

Building this week: Every tool call your AI agent makes now generates a tamper-proof audit receipt. Request hash. Output hash. Policy ID. Credential class. Scan verdict. Retention flag. Not raw payload storage. Cryptographic proof that the call happened, what AEVRIS decided, and why; without ever storing the sensitive content itself. This is what enterprise and government deployments actually need. Not just security. Accountability. Stay tuned, shipping this weekend. In the meantime: We've documented every major AI security product on the market and where AEVRIS stands against each one. If you're evaluating AI security tooling, this page will save you a week of research. Read it. Share it. Tell us what we got wrong. aevris.ai/compare Follow along, this is going to be a big week. #AISecurity #AgenticAI #AEVRIS

Anthropic just published a report warning that AI is approaching recursive self-improvement, the point where it builds and improves its own successor without meaningful human involvement. Read that again. The company whose model already writes 80% of their own production code is saying the pace may soon outrun human oversight entirely. This is not a distant hypothetical. Their own data shows it. Here's the part nobody is talking about: If AI systems can already run full research projects, write production code at scale, and improve their own training, the attack surface isn't just getting bigger. It's getting faster than the security layer can keep up. An AI agent that can improve its own code can also improve its own ability to evade detection. The security infrastructure has to be deterministic. Not AI-based. Not something that can be outpaced by the next model version. That's why AEVRIS Stage 1 is regex. You can't recursively improve your way past math. aevris.ai/compare 👀🔐 #AISecurity #AgenticAI #Anthropic #AEVRIS

Two weeks of continued building. Here's what shipped recently: → MCP Proxy v1.1.0 — every agent tool call now scanned in both directions. One URL change. No code. → Prompt caching on Stage 2/3 — 50-90% reduction in AI classifier costs per scan → Zero single points of failure — Railway Render Cloudflare failover, all live → Compare page — 9 competitors documented, AEVRIS is the only product with an agent action firewall → API key exposure patched in 15 minutes during a live Think Tank when a security researcher found it → Full public HTML audit — 11 pages scanned, 4 vulnerabilities fixed, all deployed same session All of this without external funding. If your team is using AI agents and you don’t have a security layer, this is where to start. 100 free scans. No credit card. aevris.ai #AISecurity #AgenticAI #AEVRIS

Looking for design partners. If your team is deploying AI agents and you want to be among the first to run them behind a security layer that actually intercepts tool calls, verifies outputs, and blocks unauthorized actions before they execute, let's talk. What we're looking for: → Teams with agentic AI in production or near production → Security engineers who want to stress-test the detection pipeline → Researchers working on prompt injection, MCP security, or agentic threat modeling → Organizations in law, finance, healthcare, or government where AI is touching sensitive workflows What you get: → Early access to everything we're building → Direct line to the founder → Your use case shapes the product → Free access during the design partner period DM or email hello@aevris.ai #AISecurity #AgenticAI #AEVRIS

The research community has been quietly building the case for what AEVRIS does. OWASP Top 10 for LLMs. Prompt Injection is #1. Has been for two editions. arXiv (Mar 2026): "MCP Threat Modeling and Analyzing Vulnerabilities to Tool Poisoning" proposes exactly the multi-layered defense AEVRIS implements: static metadata analysis, behavioral detection, user transparency. Schneier et al. (2026): Introduced the Promptware Kill Chain, treating prompt injection payloads as a new class of malware that executes in natural language rather than machine code. Google researchers: 32% increase in malicious prompt injection payloads embedded in web content between Nov 2025 and Feb 2026. OpenAI (Dec 2025): acknowledged prompt injection "is unlikely to ever be fully solved" at the model level. That last one is important. The model cannot protect itself. The security layer has to sit outside it. That's AEVRIS. aevris.ai 🔐 #AISecurity #PromptInjection #AgenticAI #AEVRIS

Yesterday at Microsoft Build 2026, Satya Nadella said the new stack has five layers: Compute. Models. Context. Tools. Runtime. And security. Microsoft just shipped MAI-Thinking-1, their first frontier LLM built to power agents that live inside PCs, Windows, GitHub, Azure, and enterprise data. More capable agents. More tool access. More autonomy. Every layer of that stack is an attack surface. The CVE that documented silent manipulation of Copilot was assigned a 9.3 CVSS score. That was before agents had this much access. The security layer Satya mentioned isn’t built yet. That’s what AEVRIS is. aevris.ai/compare #AISecurity #AgenticAI #MicrosoftBuild #AEVRIS

A 25-year enterprise security company just entered the agentic AI security market. That's not a threat. That's a $51B market validation. Here's the difference: Their product: enterprise procurement, months to deploy, $50K minimum. AEVRIS: live in 5 minutes, $29/month, works with every model they don't support. Same problem. Different buyers. Different speed. See the full breakdown: aevris.ai/compare #AISecurity #AgenticAI #AEVRIS

Tonight night we participate in our third Agentic AI Security Think Tank. The same insight keeps coming up in every room: "We know we need to secure our AI. We just don't know where to start." If that sounds familiar, the answer is simpler than you think. 3 lines of code. 5 minutes to deploy. Every prompt scanned. Every response verified. Start here: aevris.ai/demo #AISecurity #AgenticAI #AEVRIS

AWS Bedrock Guardrails protects your Bedrock traffic. Azure Content Safety protects your Azure traffic. What protects everything else? Claude. GPT-4o. Gemini. Llama. Mistral. On-premise. Multi-cloud. Hybrid. AEVRIS works with every model on every cloud, with output verification and agent action interception that neither AWS nor Azure offers anywhere. One security layer. All your AI. Any cloud. aevris.ai/compare #AISecurity #AgenticAI #EnterpriseAI #AEVRIS

Every tool call your AI agent makes is currently unprotected. File reads. API calls. Database queries. Web searches. The agent sees the result. You don't. The fix we shipped: Change the URL your agent points at from your tool server to the AEVRIS MCP Proxy. Every call gets scanned before execution. Every response gets verified before the agent sees it. Destructive actions get intercepted before they run. One URL. No code changes. Everything protected. Try it: aevris.ai/demo #AISecurity #AgenticAI #MCP #AEVRIS

Every AI security product on the market scans what goes IN. Nobody checks what comes OUT. Here's why that matters: A successful jailbreak doesn't announce itself. The model just... complies. Responds normally. Delivers the harmful output with the same confidence it delivers everything else. Input filters catch the obvious attacks. Output verification catches the ones that got through. AEVRIS is the only product that verifies output alignment, detecting when the model was successfully manipulated, not just filtering content, while also intercepting agent actions and MCP tool calls. See how we compare: aevris.ai/compare #AISecurity #AgenticAI #AEVRIS

What's shipping at AEVRIS this week: Closing the biggest blind spot in agentic AI security. Right now, every tool call an AI agent makes is unprotected. What it reads. What it writes. What it executes. We're changing that. Automatically. Without touching your existing code. Also on the list: → Significantly cheaper per-scan costs (live tomorrow) → Performance improvements across the pipeline More soon. But first, we are curious as to what others think: If you're building with AI agents or your team uses AI daily, what's the security question keeping you up at night? Drop it below ↓ #AISecurity #AgenticAI #AEVRIS

An attacker sent one crafted email to a Microsoft 365 Copilot user. No user interaction required. Copilot read the email during routine summarization, followed the hidden instructions, and exfiltrated data from OneDrive, SharePoint, and Teams through a trusted Microsoft domain. Antivirus didn’t catch it. The firewall didn’t catch it. Static scanning didn’t catch it. Because the exploit was written in natural language. Not code. CVE-2025-32711. CVSS 9.3. This is exactly what AEVRIS was built for. aevris.ai/compare #AISecurity #PromptInjection #AgenticAI #AEVRIS

If your company uses AI in any capacity, you need to answer this question: What happens when someone manipulates it? Law firm: AI reads a contract with a hidden instruction. Suddenly it gives wrong legal advice. Hospital: AI triage tool gets fed a poisoned prompt. Patient gets routed incorrectly. Finance team: AI agent with file access receives an injection. It exfiltrates client data. IT department: Autonomous agent deletes the wrong folder because a webpage told it to. None of these are hypothetical. How would YOUR company use AEVRIS? Drop your industry below ↓ #AISecurity #AgenticAI #AEVRIS

If your AI can read it: it can be poisoned. If your AI can write it: it can be manipulated. If your AI can do it: it can be hijacked. AEVRIS covers all three. Input. Output. Action. aevris.ai #AISecurity #AgenticAI #AEVRIS