What does AI Security Radar do?

AI Security Radar tracks trusted incident and advisory feeds, then sends source-cited alerts with likely impact and remediation guidance.

Why register before a major incident hits?

Teams that register early receive faster awareness and action checklists, reducing the chance that delayed triage turns into a larger breach window.

What evidence do alerts include?

Each alert includes source citations, severity context, and concrete response steps so security and compliance teams can document decisions quickly.

Which incidents are considered AI-specific?

We focus on incidents tied to AI assistants, copilots, LLM workflows, model artifacts, prompt injection, and AI-relevant dependencies rather than generic software advisories with weak AI overlap.

Are all published incident pages indexable?

Yes. Once an incident page is published, it remains indexable and stays in the sitemap. We handle quality issues through updates and corrections instead of search exclusion.

AI Security Incident Monitoring

When AI security incidents break, minutes decide the outcome.

AI Security Radar helps security, risk, and compliance teams detect AI-specific incidents faster, understand whether the issue truly affects their environment, and move from alert to action with cited remediation guidance.

Instead of relying on generic CVE feeds or broad threat newsletters, the site focuses on AI assistants, copilots, model supply-chain risks, prompt-injection issues, AI-relevant dependencies, and public disclosures that can materially affect AI-enabled products and workflows.

Get Notified Browse Curated Incidents

Prompt Injection Model Supply Chain Copilot / Assistant Risk AI Dependency Advisories Source-Cited Response Steps

Monitors CISA KEV and NVD

Tracks GitHub Advisories, CERT, and vendor feeds

All published incidents stay in the public archive

Email + Telegram delivery for fast triage

How It Works

Every incident in AI Security Radar starts as source intake, not generated filler. The workflow is designed to reduce false positives before a page or alert becomes public.

Collect AI-security signals from curated feeds, advisories, and public disclosures.
Score AI relevance so generic software issues do not get mislabeled as AI incidents.
Rewrite into operator-friendly summaries with impact, response steps, and citations.
Publish each incident into a searchable archive with source links and operator-focused context.

Read the full process in Methodology & Editorial Policy.

High Severity

AI security incident: OpenClaw: Gemini OAuth exposed the PKCE verifier through the OAuth state parameter (G...

Risk: OpenClaw: Gemini OAuth exposed the PKCE verifier through the OAuth state parameter Summary Before OpenClaw 2026.4.2, the Gemini OAuth flow reused the PKCE verifier as the OAuth state value.

Confirm whether affected products, models, or integrations are used in your environment.

GHSA source

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Register to receive AI incident alerts with source links, practical next steps, and enough context to decide whether you need immediate containment, patching, or stakeholder notification.

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3 reasons teams register before an incident

Advisories are fragmented. Critical exposure data is spread across feeds like CISA KEV, NVD, GHSA, CERT, and vendor bulletins, so one missed source can hide urgent risk.
Public disclosure starts the attacker clock. Once incident details are public, delayed triage can extend attacker dwell time and widen potential blast radius.
Compliance reviews require evidence. Late awareness makes it harder to prove detection and response timelines during audits or post-incident investigations.

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Who This Is For

Mid-market security engineering, SecOps, and compliance teams that support AI-enabled products but do not have time to manually monitor fragmented advisory channels all day.

What Counts As AI Security

The focus is not every vulnerability on the internet. The site prioritizes AI assistants, copilots, model artifacts, prompt-layer abuse, model-serving paths, and AI-relevant dependencies that can change enterprise risk posture.

Why This Page Exists

The goal is to build a trustworthy AI security archive, not a thin pSEO feed. Public pages are meant to stand on their own with enough context to be genuinely useful during incident review.

What Each Alert Includes

Incident summary: what happened, when it was disclosed, and what part of the AI workflow may be exposed.
Why it matters: severity context, likely blast radius, and the teams that should triage first.
Immediate response: focused remediation steps instead of vague "review this advisory" language.
Source citations: direct links back to the advisory or disclosure so analysts can validate quickly.

Sources We Monitor

Coverage starts with trusted public sources such as GitHub Security Advisories, NVD, CISA KEV, CERT/EUVD feeds, and selected vendor or research feeds where AI-specific incidents are likely to surface first.

Relevance and quality checks are still used to prioritize corrections and editorial improvements, but every published incident remains visible in the public archive for review.

Why Teams Use AI Security Radar Instead Of Generic Threat Feeds

Generic vulnerability feeds rarely explain whether a disclosure actually matters to copilots, agent frameworks, model registries, or AI-serving infrastructure. AI Security Radar narrows the field to incidents that intersect AI operations and then adds response framing a security team can use immediately.

Focuses on AI-specific attack paths such as prompt injection, unsafe tool execution, model artifact compromise, and assistant/plugin exposure.
Prioritizes decision support for security and compliance teams, not just raw advisory aggregation.
Keeps published pages searchable and source-cited so teams can review the full incident record over time.

What Is AI Security Radar?

AI Security Radar monitors trusted AI-security sources and delivers source-cited alerts with response steps your team can act on quickly.

It is designed to answer a practical question: "Does this new public incident affect the AI tools, assistants, or model workflows we actually run, and what should we do first?"

Frequently Asked Questions

What do we receive after registering?: You receive concise incident alerts with severity context, likely impact, and recommended remediation actions.
How is this different from generic threat feeds?: Alerts are focused on AI-specific incidents and include direct source references so teams can validate findings fast.
Who uses these alerts?: Security, risk, and compliance teams use them to cut triage time and document response decisions.
What counts as an AI-specific incident here?: We prioritize issues tied to AI assistants, copilots, LLM workflows, prompt injection, model artifacts, and AI-relevant libraries or services rather than broad software advisories with weak AI overlap.
Are all published incident pages indexed?: Yes. Published incident pages stay indexable and remain in the sitemap, while editorial reviews focus on improving or correcting pages instead of hiding them from search.
Where can I review the editorial process?: The public selection, quality, and correction criteria are documented on the Methodology & Editorial Policy page.