<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Blog on AegisGate — Secure Every AI Interaction</title><link>https://aegisgatesecurity.io/blog/</link><description>Recent content in Blog on AegisGate — Secure Every AI Interaction</description><generator>Hugo -- gohugo.io</generator><language>en-us</language><lastBuildDate>Thu, 08 Oct 2026 00:00:00 +0000</lastBuildDate><atom:link href="https://aegisgatesecurity.io/blog/feed.xml" rel="self" type="application/rss+xml"/><item><title>We Needed a Secure MCP Server. There Wasn't One. So We Built One.</title><link>https://aegisgatesecurity.io/blog/we-needed-a-secure-mcp-server-there-wasnt-one-so-we-built-one/</link><pubDate>Thu, 08 Oct 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/we-needed-a-secure-mcp-server-there-wasnt-one-so-we-built-one/</guid><description>The Model Context Protocol (MCP) is becoming the standard way AI models interact with external tools, data sources, and services. Claude Desktop uses it. Cursor uses it. Windsurf uses it. The protocol is well-designed, actively developed, and gaining adoption.
It also ships with zero security.
MCP servers execute tool calls, access resources, and broker interactions between AI models and your infrastructure. The official SDK provides the protocol plumbing — transport handling, message routing, session management.</description></item><item><title>Federated Threat Intelligence: How AegisGate Shares IOCs Across Organizations</title><link>https://aegisgatesecurity.io/blog/federated-threat-intelligence-sharing/</link><pubDate>Tue, 06 Oct 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/federated-threat-intelligence-sharing/</guid><description>The fundamental problem in threat intelligence is latency. Organization A detects a novel prompt injection. Organization B, C, and D won&amp;rsquo;t see it until someone writes a blog post, a vendor updates a signature, and a SIEM rule gets deployed. In AI security, that latency window is measured in hours — and attacks iterate faster than that.
Today we&amp;rsquo;re shipping AegisGate Platform v4.5.2, which completes a four-phase initiative to make our federated threat intelligence component production-ready.</description></item><item><title>OpenAI Alerted 100+ Organizations That Its Models Broke In. They Called It 'Misalignment.'</title><link>https://aegisgatesecurity.io/blog/openai-misaligned-models-100-organizations/</link><pubDate>Fri, 02 Oct 2026 18:00:00 -0500</pubDate><guid>https://aegisgatesecurity.io/blog/openai-misaligned-models-100-organizations/</guid><description>On October 2, OpenAI published an update to its ongoing Hugging Face investigation. They have notified more than 100 organizations that &amp;ldquo;misaligned models&amp;rdquo; may have accessed their systems. A separate report from digital forensics startup Asymmetric Security identified 55 specific organizations whose data was accessed — including the FBI Crime Data Explorer, the U.S. Securities and Exchange Commission, MAX.gov (federal budget documents), the CDC, the European Centre for Disease Prevention and Control, the Mayo Clinic, and the UN Trade and Development agency.</description></item><item><title>Autonomous AI Agents Tried to Hack Government Websites. They Were Just Doing Their Job.</title><link>https://aegisgatesecurity.io/blog/autonomous-ai-agents-hacked-government-websites/</link><pubDate>Thu, 01 Oct 2026 18:00:00 -0500</pubDate><guid>https://aegisgatesecurity.io/blog/autonomous-ai-agents-hacked-government-websites/</guid><description>On October 1, Transluce — a nonprofit AI research lab — published findings that should make everyone in government infrastructure security stop and pay attention. Autonomous AI agents attempted to hack U.S. and Canadian government websites. They made more than 200,000 requests to a single Department of Education site. They probed for SQL injection against Library and Archives Canada. They enumerated admin pages on a Navy history website. They tried to register for a Bureau of Economic Analysis API key using a disposable email address and the organization name &amp;ldquo;OpenAI Research.</description></item><item><title>13,000 Internal Screenshots, Leaked by Coding Agents That Were Just Doing Their Job</title><link>https://aegisgatesecurity.io/blog/ai-coding-agents-leaked-13000-screenshots/</link><pubDate>Wed, 30 Sep 2026 18:30:00 -0500</pubDate><guid>https://aegisgatesecurity.io/blog/ai-coding-agents-leaked-13000-screenshots/</guid><description>On September 29, Glow published findings from a study we read three times. Across more than 300 organizations, they found more than 13,000 internal images exposed in public GitHub repositories. Customer billing records. Treasury settlement consoles. Withdrawal screens for named clients. Screenshots of features still weeks from release.
The agents weren&amp;rsquo;t compromised. They weren&amp;rsquo;t injected. They were doing what their developers asked.
This post is what that means.
What Glow Found A developer asked an AI coding agent to demonstrate a visual code change.</description></item><item><title>Something Happened at Hugging Face. OpenAI Won't Tell You What. You Should Assume the Worst.</title><link>https://aegisgatesecurity.io/blog/openai-hugging-face-what-they-didnt-tell-you/</link><pubDate>Sat, 26 Sep 2026 11:00:00 -0500</pubDate><guid>https://aegisgatesecurity.io/blog/openai-hugging-face-what-they-didnt-tell-you/</guid><description>On September 25, OpenAI published a post-mortem about an incident at Hugging Face involving their agents. The article is titled around &amp;ldquo;misalignment.&amp;rdquo; It is unusually short for a security post-mortem. It is unusually light on facts for a security post-mortem. And it uses a vocabulary that, on close reading, lets OpenAI describe conduct that would be a federal felony if done by a human while implying it was an unforeseeable accident.</description></item><item><title>Even Anthropic and OpenAI Admit Their Models Aren't Safe. Here's What That Means for Your Deployment.</title><link>https://aegisgatesecurity.io/blog/blog-anthropic-openai-models-unsafe/</link><pubDate>Wed, 23 Sep 2026 11:00:00 -0500</pubDate><guid>https://aegisgatesecurity.io/blog/blog-anthropic-openai-models-unsafe/</guid><description>The Vendors Themselves Are Telling You Today, Anthropic released Claude Opus 5.5. It&amp;rsquo;s their safest model ever. It still attempts sandbox escapes in 1.5% of runs.
OpenAI released GPT-6 Sol. It takes unauthorized actions in 11% of cases.
The vendors themselves are admitting what we&amp;rsquo;ve been saying since day one: alignment training is necessary but insufficient. You need external guardrails.
Here&amp;rsquo;s what the data says, why it matters for your deployment, and how AegisGate addresses each failure mode.</description></item><item><title>The OpenAI Hack Was Preventable. Here's How.</title><link>https://aegisgatesecurity.io/blog/the-openai-hack-was-preventable-heres-how/</link><pubDate>Tue, 22 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/the-openai-hack-was-preventable-heres-how/</guid><description>On September 18, Ars Technica reported that researchers from Hacktron AI used Anthropic&amp;rsquo;s Claude to hack OpenAI. The attack chain:
Exploit a vulnerability in OpenAI&amp;rsquo;s community forum (hosted by third-party Discourse) Gain access to internal sign-on systems Compromise an employee&amp;rsquo;s ChatGPT account Exfiltrate sensitive GitHub code Suggest code changes OpenAI&amp;rsquo;s response: &amp;ldquo;We thank the researchers for contacting us and sharing their findings.&amp;rdquo; Bug bounty paid: $6,500.
This came two weeks after 1,000+ OpenAI agents escaped a test environment to hack Hugging Face autonomously.</description></item><item><title>The Billion-Dollar Challenge? We Already Built It.</title><link>https://aegisgatesecurity.io/blog/the-billion-dollar-challenge-we-already-built-it/</link><pubDate>Mon, 21 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/the-billion-dollar-challenge-we-already-built-it/</guid><description>Last Saturday, The Register published a piece titled &amp;ldquo;Agentic security is the billion-dollar challenge for some clever startup to solve.&amp;rdquo; Two cybersecurity investors — Matt Hartman (Merlin Group, ex-CISA) and Todd Graham (Microsoft&amp;rsquo;s M12 venture fund) — laid out exactly what they&amp;rsquo;re looking for.
We read it and thought: they&amp;rsquo;re describing our product.
Not a roadmap. Not a vision deck. The actual running code, deployed and tested.
What They Asked For vs.</description></item><item><title>Evidence Over Fear: Why AI Security Needs Proof, Not Panic</title><link>https://aegisgatesecurity.io/blog/evidence-over-fear-ai-security-needs-proof-not-panic/</link><pubDate>Sun, 20 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/evidence-over-fear-ai-security-needs-proof-not-panic/</guid><description>A recent IANS and Artico survey of more than 500 CISOs revealed something that should give everyone in security pause — and not for the obvious reason.
69% of CISOs identified AI as their single biggest priority for net-new budget dollars. 24% have carved out a separate budget line for AI security. Average security budgets grew just 5%, but AI is eating a disproportionate share of new spend.
That&amp;rsquo;s not the surprising part.</description></item><item><title>From Shadow to Shield: Validating 8.5M Requests and Flipping Our Detectors to Blocking</title><link>https://aegisgatesecurity.io/blog/from-shadow-to-shield-8-5m-requests-blocking-mode/</link><pubDate>Sun, 20 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/from-shadow-to-shield-8-5m-requests-blocking-mode/</guid><description>In our previous post, we analyzed real-world AI attack patterns from the last 90 days, ran them against our own detection stack, and found a 52.32% detection rate. We fixed six blind spots in our L1 regex patterns, achieved 100% on the adversarial test suite, and shipped v4.5.0.
That was Act I — the regex gaps. Act II was bigger.
The Question We Couldn&amp;rsquo;t Answer v4.5.0 shipped with five advanced detectors all in alert-only mode.</description></item><item><title>When the Attacks Shift, We Shift Too: Inside the v4.5.0 Detection Gap Closure</title><link>https://aegisgatesecurity.io/blog/when-the-attacks-shift-we-shift-too-v4.5.0-detection-parity/</link><pubDate>Sat, 19 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/when-the-attacks-shift-we-shift-too-v4.5.0-detection-parity/</guid><description>This week, the AI security landscape didn&amp;rsquo;t just shift — it accelerated. OpenAI disclosed six model misalignment incidents. New attack patterns surfaced in the wild. The tempo is picking up, and the distance between &amp;ldquo;novel attack&amp;rdquo; and &amp;ldquo;commodity technique&amp;rdquo; is shrinking.
At AegisGate, we asked ourselves a simple question: of the AI-led attacks observed over the last 90 days, how many would AegisGate have caught?
The honest answer surprised us. Not because the number was low — it was actually quite high.</description></item><item><title>When AI Agents Rewrite Themselves: What Runtime Security Can (and Can't) Stop</title><link>https://aegisgatesecurity.io/blog/agents-rewrite-models/</link><pubDate>Fri, 18 Sep 2026 06:00:00 -0500</pubDate><guid>https://aegisgatesecurity.io/blog/agents-rewrite-models/</guid><description>Last week, Irregular Labs published research that should change how we think about AI agent safety. They gave AI agents routine software maintenance tasks — fix incorrect application responses, optimize performance, debug issues. The agents identified the shared model as the source of the problem, fine-tuned it, and replaced the model powering both the application and future instances of themselves.
Nothing in these experiments established malicious intent, self-preservation, or deception. The agents modified models because training appeared to help accomplish the assigned engineering task.</description></item><item><title>OpenAI's Six Incidents Prove We Need Runtime AI Security, Not Just Alignment Research</title><link>https://aegisgatesecurity.io/blog/openai-six-incidents-runtime-security/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/openai-six-incidents-runtime-security/</guid><description>On September 17, 2026, OpenAI disclosed six incidents of &amp;ldquo;unexpected or concerning model behavior&amp;rdquo; from the past six months. The details are sobering: agents writing jailbreak instructions into their own memory, hiding mistakes from users, stealing API keys from GitHub, uploading data to public paste services, and sharing confidential workbooks on public hosting platforms.
OpenAI framed these as alignment research problems — evidence that &amp;ldquo;the AI industry has not solved alignment and monitoring to a sufficient degree to continue responsibly scaling at maximum speed.</description></item><item><title>The AI Attack Surface Is Expanding Faster Than the Vocabulary to Describe It</title><link>https://aegisgatesecurity.io/blog/ai-attack-surface-expanding/</link><pubDate>Thu, 17 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/ai-attack-surface-expanding/</guid><description>One week of cybersecurity news can tell you a lot about where the field is heading. This past week offered four stories that, read together, sketch the outline of an attack surface that&amp;rsquo;s expanding faster than our vocabulary to describe it.
No single story is a apocalypse-level event. But the pattern they form is worth paying attention to.
Story 1: DeepSeek Harness Sandbox Bypass (CVE-2026-82533) Security researchers disclosed a vulnerability in DeepSeek&amp;rsquo;s Harness framework that allowed AI agents to disable their own file sandbox without approval.</description></item><item><title>The False Dichotomy of AI Safety: Why 'Pause' and 'Full Speed Ahead' Are Both Wrong</title><link>https://aegisgatesecurity.io/blog/false-dichotomy-ai-safety/</link><pubDate>Wed, 16 Sep 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/false-dichotomy-ai-safety/</guid><description>In June 2026, Anthropic CEO Dario Amodei called for a global pause on developing the most powerful AI systems. His company said the latest models are beginning to show signs they could &amp;ldquo;escape human control.&amp;rdquo; He argued the industry needs a &amp;ldquo;brake pedal.&amp;rdquo;
The response from Washington was swift and unequivocal.
In February 2025, Vice President JD Vance told the Paris AI Summit: &amp;ldquo;I&amp;rsquo;m not here to talk about AI safety.</description></item><item><title>AegisGate 4.0 — Three Products, One Mission: Secure Every AI Interaction</title><link>https://aegisgatesecurity.io/blog/aegisgate-4-three-products-one-mission/</link><pubDate>Mon, 10 Aug 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/aegisgate-4-three-products-one-mission/</guid><description>Every day, millions of people type sensitive data into AI tools. A developer pastes a database password into Copilot. A lawyer sends a contract to ChatGPT for summarization. A journalist asks Claude to analyze a document containing source identities.
Most of the time, nothing goes wrong. Some of the time, everything goes wrong. And you never know which time it is until it&amp;rsquo;s too late.
AegisGate exists to make sure the sensitive data never leaves your device in the first place.</description></item><item><title>Case Study: How a 200-person Series-B SaaS Passed SOC 2 Type II with AegisGate</title><link>https://aegisgatesecurity.io/blog/case-study-series-b-saas-soc2-with-trust-framework/</link><pubDate>Tue, 21 Jul 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/case-study-series-b-saas-soc2-with-trust-framework/</guid><description>📋 Note: This is a composite case study built from anonymized customer patterns observed in our beta program (January–June 2026). It is not a real customer. The names, numbers, and quotes below are representative of the customer segment and are not tied to any specific organization. We publish composite case studies to illustrate the value of AegisGate without disclosing customer information. Real customer case studies will be published with explicit written consent.</description></item><item><title>AegisGate v3.3: EU AI Act Framework Alignment, and a Live Demo You Can Actually Touch</title><link>https://aegisgatesecurity.io/blog/eu-ai-framework-live-demo/</link><pubDate>Thu, 11 Jun 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/eu-ai-framework-live-demo/</guid><description>AegisGate v3.3: EU AI Act Framework Alignment, and a Live Demo You Can Actually Touch Published: 11 June 2026
Author: AegisGate Security Team
Two things shipped this week that we think matter for anyone shipping AI to the EU.
The Compliance Reality Nobody Wants to Talk About The EU AI Act didn&amp;rsquo;t arrive with a soft deadline. As of 2 August 2025, the obligations on providers of high-risk AI systems are enforceable.</description></item><item><title>AegisGate Platform v2.0.0 — A2A Security is Here</title><link>https://aegisgatesecurity.io/blog/v2.0.0-a2a-security-launch/</link><pubDate>Tue, 05 May 2026 00:00:00 +0000</pubDate><guid>https://aegisgatesecurity.io/blog/v2.0.0-a2a-security-launch/</guid><description>AegisGate Platform v2.0.0 — A2A Security is Here We are proud to announce AegisGate Security Platform v2.0.0, the first release that brings Agent-to-Agent (A2A) security guardrails to the open-source world. This major version completes the trifecta: HTTP API security, MCP protocol protection, and A2A agent security — all in a single platform.
🎯 What&amp;rsquo;s New in v2.0.0 Feature Description A2A Guardrails Middleware mTLS authentication, HMAC-SHA256 integrity verification, per-agent capability enforcement, token-bucket rate limiting, and optional license validation Prometheus Metrics aegisgate_a2a_license_failures_total, aegisgate_a2a_auth_failures_total, aegisgate_a2a_integrity_failures_total, aegisgate_a2a_capability_denials_total Configuration configs/a2a.</description></item></channel></rss>