Cloud CISO Perspectives: How AI leverages deep context as the defender’s advantage
Francis deSouza explains the crucial role that deep context plays in creating an AI advantage for defenders.
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Francis deSouza explains the crucial role that deep context plays in creating an AI advantage for defenders.
Microsoft’s latest Secure Future Initiative report outlines progress on secure foundations, AI-powered defense, and future-ready cybersecurity.
Read five key learnings from the Frost & Sullivan 2025 Frost Radar™ for CSPM to learn how CSPM is evolving from point-in-time compliance to continuous risk management.
Unit 42 analysis of phantom squatting: attackers register domains that LLMs may hallucinate in recommendations, code, documentation, or support answers. That turns model error into a supply-chain path, especially when users or agents follow generated links without independent validation.
Following our AI Threat Defense announcement, here's how we use AI to chart a path to autonomous software development lifecycle security.
A malicious Chromium-based extension that spoofs the AI-powered answer engine Perplexity AI redirects browser search traffic using MV3 APIs and intermediary infrastructure.
Cloudflare report on testing security-focused frontier models against real infrastructure code. Relevant to evaluating AI-assisted vulnerability discovery and production security workflows.
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NDC Security 2026 talk on securing agentic systems through reference architecture, common risk analysis, and control prioritization for autonomous agents in the software development lifecycle.
This post dives deep into how Claude wrote an exploit for one of the vulnerabilities it found in Firefox.
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NDC AI 2025 talk introducing AI security for developers, including model lifecycle, training data, secure integration, data leakage, prompt injection, adversarial inputs, and model bias.
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This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.
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This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.
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This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.
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This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.
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This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.
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This AI Explained video reviews a major AI development through the lens of benchmarks and evaluation evidence. It is useful context for AI engineering, evaluation, governance, and operational risk.
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This AI Explained video reviews a major AI development through the lens of governance and responsible deployment. It is useful context for AI engineering, evaluation, governance, and operational risk.
CVE-2026-64849 is an unauthenticated SSRF flaw in MLflow model-registry webhooks that lets anyone reaching a vulnerable Tracking Server proxy requests to internal services and cloud metadata endpoints. The redirect handling bypasses earlier fixes, and honeypot telemetry showed indiscriminate scanning within hours of disclosure aimed at stealing cloud credentials and secrets. MLflow fixed the issue in 3.15.0.
Cloudflare describes architecture and operational lessons for defending against frontier cyber models. Relevant to AI-enabled threat modeling, defensive controls, and internal security readiness.
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NDC AI 2025 talk on breaking AI systems in production, covering prompt injection, hidden prompts in documents, agent goal manipulation, privacy exposure, and practical AI red-team testing methods.
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This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.
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This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.
Play video
This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.
Play video
This AI Explained video reviews a major AI development through the lens of agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.