Browse entries 529–552 of 1531. Return to the first page to search and filter the complete collection.
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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.
What happens when you clear dozens of Trail of Bits engineers’ schedules, pair them with every open-source maintainer they can contact, and unleash the latest frontier models like GPT-5.5-Cyber on critical open-source targets?
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NDC Security 2026 talk on testing generative AI systems, arguing that AI red teaming needs to evaluate variable behavior, safety boundaries, and AI-assisted testing methods rather than a single exploit result.
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NDC Security 2026 talk on prompt injection in CI/CD and automation systems, including AI agents with access to shell commands, GitHub or GitLab tokens, issue editing, build workflows, and privileged pipeline context.
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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 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 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 agentic workflows and tool-use risk. It is useful context for AI engineering, evaluation, governance, and operational risk.
Proofpoint’s October 2026 investigation describes targeted phishing against US AI policy researchers. Benign invitations impersonating recognizable experts established a conversation before a file-sharing link led to a proxied Microsoft sign-in. A modified browser-in-the-browser kit relayed authentication and captured session cookies, including after supported MFA challenges. Proofpoint attributes the activity to the China-aligned group TA419; the report documents infrastructure and targeting, rather than a count of confirmed account compromises. The AI connection is the selected victims and policy pretexts, not evidence of an AI-driven attack.
Members of the OECD working group on agentic AI in government outline how systems that act across public services need explicit delegation, narrow permissions and accountable human decisions. Their examples separate preparing information from submitting applications, changing records or issuing payments. They recommend auditable action histories and ways to stop, correct or reverse actions. This is a working-group perspective and emerging governance agenda, not an adopted legal standard or evidence that the proposed services have delivered benefits.
We’re open-sourcing k8s-aibom, a Kubernetes controller that continuously monitors environments to detect AI runtimes and generate standard ML-BOMs.
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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.
Play video
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.
Play video
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.
Play video
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.
Play video
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.
Play video
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.
Play video
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.
Play video
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 multimodal generation and provenance. 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.
Play video
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.
Play video
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.