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Structured signal intelligence for the tech stories that move markets.

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Dark Reading — Source Profile — Newsbite

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Source profile

Dark Reading

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Enterprise security reporting with deeper analysis and commentary. Covers threat trends, security strategy, and vendor ecosystem. Good for CISOs and security engineering context. Often includes research-driven insights and explainers.

Official source: NoMainstream media: NoLast activity: 15h ago

20 items analyzedVisit site ↗

Signal quality Latest coverage

Signal quality Latest coverage

Insights Metrics v2

Metric board

Publisher typeWhether the publisher is an official company channel or a mainstream outlet. Best-effort editorial judgements, hand-set per source.

24h

independent

Sample: 0Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

7d

independent

Sample: 21Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

30d

independent

Sample: 99Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Articles publishedThe number of final articles from this source whose event date falls in the window, with the change from the previous window. Counts what we collected; sources run on different schedules.

tech newsbite

Structured signal intelligence for the tech stories that move markets.

Product

Stream Beats Newsbite Signals Hot Take Insights Labs Chat

Company

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© 2026 Tech Newsbite

24h

0

Sample: 0Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

7d

21was 26

Not enough data for a change figure

Sample: 21Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

30d

99was 30

Not enough data for a change figure

Sample: 99Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Active daysThe number of days in the window with at least one final article from this source. For sources that rarely expose a publish date, this is based on collection date.

24h

Active days: 0
Dated share: —

Sample: 0Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

7d

Active days: 6
Dated share: 0.0%

Sample: 21Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

30d

Active days: 24
Dated share: 0.0%

Sample: 99Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Topic mixThe five categories that appear most often in the source's final articles. Same generous multi-labelling as E7.

24h

Not enough data

not offered for this window

7d

Security86%

AI33%

Business10%

Programming10%

Regulation10%

Sample: 21Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

30d

Security93%

AI31%

Business15%

Regulation8%

Cloud4%

Sample: 99Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Content-type mixWhat kind of pieces the source publishes. Coarse AI labels - labelled 'AI-classified article type'.

24h

Not enough data

not offered for this window

7d

News reporting43%

Untyped33%

Announcement10%

Other10%

Breaking news5%

Analysis0%

Sample: 21Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

30d

News reporting42%

Untyped23%

Breaking news15%

Analysis9%

Announcement7%

Other3%

Tone mix and net toneThe distribution of article-level sentiment in the source's final articles, plus net tone. Official channels are self-promotional by nature.

24h

Not enough data

not offered for this window

7d

Not enough data

not enough data (9 of 20)

30d

Negative46%

Neutral36%

Positive11%

Mixed8%

Net tone: Negative · -0.35

Sample: 66Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Most-covered entitiesThe top 5 linked entities in the source's final articles. Catalog gaps and disabled forms under-count.

24h

Not enough data

not offered for this window

7d

No data in this window.

Sample: 21Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

30d

Cisco2%

GitLab2%

Microsoft2%

Microsoft 3652%

Sample: 99Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Regional focusWhich parts of the world this source's coverage concerns. The AI's reading of the article's geography, not the outlet's country of registration.

24h

Not enough data

not offered for this window

7d

Not enough data

not enough data (8 of 10)

30d

Global 73.7% · Unspecified 3.0%

US48%

EU22%

__no_region__13%

Sample: 23Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Audiences coveredWhich audiences this source's articles say are affected. Consumers is the corpus default; read every number as a deviation from it.

24h

Not enough data

not offered for this window

7d

Enterprises43%

Consumers33%

Governments24%

Enterprises+29.9pp vs baseline
Consumers-10.8pp vs baseline
Governments+12.2pp vs baseline

Sample: 21Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

30d

Enterprises57%

Consumers24%

Governments14%

Enterprises+46.7pp vs baseline
Consumers-20.4pp vs baseline
Governments+3.4pp vs baseline

Sample: 99Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Sourcing-strength mixHow often the AI judged an article's own sourcing to be strong versus thin, for this outlet's articles. The model's assessment of one article's sourcing, made without browsing. Never a publisher reliability or trust score, never used to rank sources.

24h

Not enough data

not offered for this window

7d

Medium57%

Low29%

High14%

Sample: 21Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

30d

Medium51%

High40%

Low9%

Sample: 99Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Confidence mixHow sure the model was about its own reading of each article. Uncalibrated self-confidence, descriptive only.

24h

Not enough data

not offered for this window

7d

Medium62%

Low24%

High14%

Sample: 21Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

30d

Medium60%

High30%

Low8%

Sample: 99Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Stance profileWhere the stories sit in a trend's life - accelerating, mature, or an early signal. An AI reading of the article's framing, not a market judgement.

24h

Not enough data

not offered for this window

7d

Accelerating67%

Mature19%

Early signal14%

Other0%

Sample: 21Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

30d

Accelerating81%

Early signal10%

Mature9%

Other0%

Sample: 99Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Event types coveredWhich kinds of events this outlet reports on. Same 2026-08-10 start date and New-Product skew as E12.

24h

Not enough data

not offered for this window

7d

Not enough data

not enough data (2 of 20)

30d

Not enough data

not enough data (17 of 20)

Evidence-basis mixHow much of this outlet's coverage is built on official confirmation versus rumor, anonymous sourcing, or opinion. Correlated with the outlet's beat, never used as a trust ranking.

24h

Not enough data

not offered for this window

7d

Not enough data

not enough data (13 of 20)

30d

46 rated (46.5% of coverage)

Opinion37%

On record sources33%

Official announcement24%

Analyst estimate4%

Anonymous sources2%

Sample: 46Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Story-phase mixWhether this outlet mostly breaks stories first or mostly follows up, reacts, and explains. Orthogonal to S5's content-type mix by prompt design.

24h

Not enough data

not offered for this window

7d

Not enough data

not enough data (19 of 20)

30d

61 rated (61.6% of coverage)

First report100%

Sample: 61Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.

Latest coverage

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View all coverage from Dark Reading →

Sample: 99Sample size — how many underlying data points (e.g. labeled mentions, rated articles, or statements) this metric was actually computed from. Can be smaller than the entity or source's total coverage count.