https://gridthegrey.com/Real-time AI security intelligence — adversarial ML, LLM vulnerabilities, and supply chain threats mapped to MITRE ATLAS and OWASP LLM Top 10.Hugoen-usSun, 12 Apr 2026 17:15:28 +0530https://gridthegrey.com/posts/how-we-broke-top-ai-agent-benchmarks-and-what-comes-next/Sat, 11 Apr 2026 19:15:56 +0000https://gridthegrey.com/posts/how-we-broke-top-ai-agent-benchmarks-and-what-comes-next/Threat Level: CRITICALAgentic AIAdversarial MLResearchLLM SecurityAML.T0043 - Craft Adversarial DataAML.T0031 - Erode ML Model IntegrityAML.T0047 - ML-Enabled Product or ServiceAML.T0051 - LLM Prompt InjectionAML.T0015 - Evade ML ModelResearchers at UC Berkeley demonstrated that every major AI agent benchmark — including SWE-bench, WebArena, OSWorld, and others — can be fully exploited to achieve near-perfect scores without solving a single task, using trivial environmental manipulation rather than genuine capability. The attacks include pytest hook injection, config file leakage, DOM manipulation, and reward component bypassing, with zero LLM calls required in most cases. This represents a systemic integrity failure in the evaluation infrastructure underpinning AI deployment decisions across industry and research.https://gridthegrey.com/posts/anthropic-claude-mythos-preview-the-more-capable-ai-becomes-the-more-security-it/Sat, 11 Apr 2026 09:21:26 +0000https://gridthegrey.com/posts/anthropic-claude-mythos-preview-the-more-capable-ai-becomes-the-more-security-it/Threat Level: LOWLLM SecurityAgentic AIIndustry NewsRegulatoryAML.T0047 - ML-Enabled Product or ServiceAML.T0051 - LLM Prompt InjectionAML.T0040 - ML Model Inference API AccessCrowdStrike, as a founding member of Anthropic's Mythos program, is highlighting the security challenges posed by increasingly capable frontier AI models, signaling a growing industry focus on securing agentic and large-scale AI systems. The article underscores the philosophical and practical position that AI capability gains must be matched by proportional security investment. While the piece is primarily a vendor partnership announcement and executive viewpoint, it reflects an important industry trend toward formalising AI-specific security frameworks and tooling.https://gridthegrey.com/posts/us-summons-bank-bosses-over-cyber-risks-from-anthropic-s-latest-ai-model/Fri, 10 Apr 2026 13:47:17 +0000https://gridthegrey.com/posts/us-summons-bank-bosses-over-cyber-risks-from-anthropic-s-latest-ai-model/Threat Level: CRITICALLLM SecurityAgentic AIRegulatoryIndustry NewsResearchAML.T0047 - ML-Enabled Product or ServiceAML.T0044 - Full ML Model AccessAML.T0040 - ML Model Inference API AccessAML.T0010 - ML Supply Chain CompromiseThe US Treasury convened major bank executives to discuss cybersecurity risks posed by Anthropic's unreleased Claude Mythos model, which the company claims has surpassed nearly all human experts at finding and exploiting software vulnerabilities. A code leak prompted Anthropic to publicly acknowledge the model's unprecedented offensive cyber capability, raising systemic financial sector risk concerns. The meeting signals growing regulatory awareness of AI-enabled cyber threats to critical financial infrastructure.https://gridthegrey.com/posts/can-anthropic-keep-its-exploit-writing-ai-out-of-the-wrong-hands/Fri, 10 Apr 2026 13:00:00 +0000https://gridthegrey.com/posts/can-anthropic-keep-its-exploit-writing-ai-out-of-the-wrong-hands/Threat Level: HIGHLLM SecurityAgentic AIResearchIndustry NewsRegulatoryAML.T0047 - ML-Enabled Product or ServiceAML.T0054 - LLM JailbreakAML.T0044 - Full ML Model AccessAML.T0051 - LLM Prompt InjectionAML.T0040 - ML Model Inference API AccessAnthropic has released a preview of 'Mythos,' an AI model reportedly capable of autonomously discovering and exploiting critical zero-day vulnerabilities, raising significant dual-use concerns. While Anthropic claims the model ships with access controls, the security community is scrutinising whether those safeguards are sufficient to prevent misuse by malicious actors. The development represents a pivotal moment in the arms race between offensive AI capabilities and defensive governance frameworks.https://gridthegrey.com/posts/browser-extensions-are-the-new-ai-consumption-channel-that-no-one-is-talking/Fri, 10 Apr 2026 11:00:00 +0000https://gridthegrey.com/posts/browser-extensions-are-the-new-ai-consumption-channel-that-no-one-is-talking/Threat Level: HIGHLLM SecuritySupply ChainAgentic AIIndustry NewsAML.T0057 - LLM Data LeakageAML.T0047 - ML-Enabled Product or ServiceAML.T0010 - ML Supply Chain CompromiseAML.T0051 - LLM Prompt InjectionAML.T0040 - ML Model Inference API AccessA LayerX report reveals that AI browser extensions represent a largely unmonitored attack surface in enterprise environments, with 1-in-6 enterprise users already running at least one AI extension. These extensions are statistically riskier than standard extensions — 60% more likely to carry a CVE, 3x more likely to access cookies, and capable of exfiltrating sensitive data without triggering DLP or SaaS monitoring controls. The finding highlights a critical governance gap in AI consumption channels that bypasses traditional enterprise security tooling.https://gridthegrey.com/posts/process-manager-for-autonomous-ai-agents/Thu, 09 Apr 2026 06:00:55 +0000https://gridthegrey.com/posts/process-manager-for-autonomous-ai-agents/Threat Level: HIGHAgentic AILLM SecuritySupply ChainPrompt InjectionAML.T0051 - LLM Prompt InjectionAML.T0047 - ML-Enabled Product or ServiceAML.T0010 - ML Supply Chain CompromiseAML.T0057 - LLM Data LeakageAML.T0040 - ML Model Inference API Accessbotctl is an open-source process manager that enables persistent, autonomous AI agents (currently Claude-backed) to run continuously as background daemons with tool access, file system write permissions, and internet connectivity. While marketed as a productivity tool, the architecture introduces substantial attack surface through unattended agentic execution, a skills marketplace with third-party prompt injection, and a locally-exposed web dashboard. The combination of persistent autonomy, extensible skill modules from arbitrary GitHub repositories, and session memory creates compounding risk vectors relevant to agentic AI security.https://gridthegrey.com/posts/how-charlotte-ai-agentworks-fuels-security-s-agentic-ecosystem/Mon, 06 Apr 2026 16:52:49 +0000https://gridthegrey.com/posts/how-charlotte-ai-agentworks-fuels-security-s-agentic-ecosystem/Threat Level: MEDIUMAgentic AILLM SecurityIndustry NewsAML.T0047 - ML-Enabled Product or ServiceAML.T0051 - LLM Prompt InjectionAML.T0040 - ML Model Inference API AccessCrowdStrike's Charlotte AI AgentWorks introduces an agentic security ecosystem where autonomous AI agents collaborate to perform security operations tasks with reduced human intervention. The platform raises important considerations around excessive agency, trust boundaries between agents, and the attack surface introduced by interconnected AI systems in security-critical environments. As agentic SOC architectures proliferate, the security of the AI agents themselves becomes a primary concern.https://gridthegrey.com/posts/new-crowdstrike-innovations-secure-ai-agents-and-govern-shadow-ai-across-saas/Mon, 06 Apr 2026 16:52:49 +0000https://gridthegrey.com/posts/new-crowdstrike-innovations-secure-ai-agents-and-govern-shadow-ai-across-saas/Threat Level: MEDIUMAgentic AILLM SecurityIndustry NewsRegulatoryAML.T0047 - ML-Enabled Product or ServiceAML.T0051 - LLM Prompt InjectionAML.T0057 - LLM Data LeakageAML.T0040 - ML Model Inference API AccessCrowdStrike has announced new platform innovations targeting the governance of Shadow AI and the security of AI agents across endpoints, SaaS, and cloud environments. The release highlights growing enterprise concerns around unmanaged AI tool proliferation and the attack surface introduced by autonomous AI agents. These developments reflect an industry-wide shift toward operationalising AI-specific security controls within existing SOC workflows.