Research, open standards, security tools, and the editorial methodology behind everything we publish.

Editorial standards

Editorial guidelines

Threat intelligence and research articles published on helixar.ai are drafted by an internal Helixar Research pipeline and reviewed by the Helixar Research Team before publication. Each draft begins as a structured threat record (CVE identifier, vendor advisory, public incident report, primary research source) and is shaped against the Helixar threat lens: behavioural detection, agentic risk, supply-chain integrity, and the operational reality of running agentic systems at enterprise scale.

Every draft is reviewed by a member of the Helixar Research Team before merge. Reviewers verify that:

• Cited sources resolve to real, accessible URLs at the time of publication.
• Named entities, CVE identifiers, and version numbers are checked against authoritative records (NIST NVD, vendor advisories, the original disclosing researcher).
• The article contains original analysis, not paraphrase of the cited sources.
• Claims attributed to third parties carry an inline reference number.
• The article reflects Helixar’s actual technical position, not promotional framing.

Articles that fail these checks are returned to drafting or rejected outright. We do not publish on a fixed daily cadence; days where no genuinely original analysis is available are deliberately skipped.

AI-assist disclosure

The drafting pipeline uses large language models. The published article is the product of an automated draft and a human editorial review; the byline is Helixar Research Team rather than a single individual. We do not invent named author personas. Where a specific Helixar engineer or researcher contributes substantially to a particular article, that individual is credited explicitly on the article page.

We disclose this because both Apple News and Google News allow AI-assisted research with editorial oversight, and because readers deserve an honest description of how the content reaches them. AI-assisted drafting does not replace verification; every factual claim is tied to a referenced source.

Sources and allowlist

Threat intelligence articles list a minimum of three references. References resolve to original disclosing sources where possible: vendor advisories, NIST NVD records, the researcher’s own write-up, or direct primary reporting from established outlets. We deliberately do not cite news aggregators (Hacker News submissions, Reddit threads, social posts) as primary sources; they may surface a story, but they are not the story.

The pipeline maintains an internal allowlist of trusted primary sources, including but not limited to: NIST NVD, CISA, MITRE, vendor security advisory pages (Anthropic, OpenAI, Google, Microsoft, GitHub, npm, PyPI), the IETF datatracker, recognised security research publications (Wiz, CrowdStrike, Mandiant, Project Zero), and the original researcher’s own publication channel. Sources outside the allowlist may appear as secondary references when they corroborate an allowlisted primary.

Every reference includes the URL we accessed and the date we accessed it. Web pages occasionally move or disappear; the access date lets readers find the version we read on the Internet Archive if necessary.

Quality bar

The pre-merge lint on every article requires:

• A minimum body length of 800 words for threat intelligence pieces.
• At least three external references for threat intelligence; at least one for company news and open-source releases.
• Each cited URL resolving to a 2xx response at draft time.
• Every CVE identifier validated against the NIST NVD JSON.
• No model artifact phrases in the body.
• Title under 110 characters; subtitle, excerpt, and read time within published bands.
• Original analysis above 80 percent of the body, with direct quotation marked as such.

Articles that fail any hard check are not opened as PRs. Articles flagged with soft warnings (length bands, missing optional metadata) are reviewed before merge.

Corrections policy

If you find a factual error, an outdated reference, or a misattributed quote in any Helixar article, write to us at [email protected]. We commit to:

• Acknowledging the report within two business days.
• Publishing a correction at the top of the affected article when an error of fact is confirmed.
• Updating the dateModified on the article and noting what changed and when.
• Not silently editing articles to remove errors.

Substantive edits (more than ten percent of the body, or any change to a load-bearing factual claim) carry a visible correction notice. Minor edits (typos, broken-link replacements, formatting) do not.

Editorial independence

Helixar.ai is the public-facing publication of Helixar Limited, a company building agentic AI security infrastructure. We write about products and vendors that compete with us, we write about open standards we are also commercially involved with (HDP, HDP-P, ReleaseGuard), and we write about incidents that affect customers we work with. Where this matters, we say so in the article.

We do not accept paid placements. Articles are not sponsored. Vendors do not pre-review coverage of their incidents. If a vendor disputes a published claim, we evaluate the dispute against the original sources and update the article only if the evidence supports it.

Disclaimers

Published research and threat intelligence on this site are informational. They do not constitute professional security advice for a specific environment, nor legal, regulatory, or compliance guidance. Engage qualified professionals to assess your own systems before acting on remediation guidance from any single source, including this one.

Open-source tools published by Helixar Labs are distributed under Apache 2.0 (MIT for the MCP Security Checklist) on an as-is basis, without warranties of any kind. Use in production environments is at the operator’s own risk. Review the full licence terms in each repository before deployment.

References to third-party platforms, products, protocols, and standards are for technical context only. Helixar Limited is not affiliated with, endorsed by, or in any way officially connected with the authors or governing bodies of referenced standards or products unless explicitly stated.