Query
Find articles
Pick a keyword, optionally a second one to combine it with (and, or, either but not both, or but not), then narrow the articles down by text, source and time range. Keywords update the results right away; filters apply with their button.
Query
How they overlap
Of the articles on each keyword in the last 7 days, with the same text and sources, how many also mention the other. Per lean: the share of its outlets' articles on Anthropic that mention cybersecurity.
2.7% of the 73 articles on Anthropic also mention cybersecurity, as do 2.1% of the 94 articles on cybersecurity.
- Left-leaning1 of 35 articles
- 2.9%
- Least biased1 of 21 articles
- 4.8%
- Right-leaning0 of 17 articles
- 0.0%
Who picked it up when
It was already in the news on Oct 20, when this period starts, so who reported it first is not shown. No right-leaning outlet mentioned it.
One row per source with a matching article, from the most left-leaning on top: a dot for each article, on a bar for each stretch of its coverage (a pause of more than 24 hours starts a new one). Hover or tap a dot for the headline, click it to read the article.
Source lean:leftcenterright
Source leans by Media Bias/Fact Check.
Results
2 articles mention Anthropic and cybersecurity in the last 7 days (Oct 20 to Oct 26).
| Article | |||
|---|---|---|---|
| Hacker News: Front Page | An alignment assessment of the UK AISI cybertesting incidentHacker News: Front Page Article URL: https://www.anthropic.com/research/alignment-assessment-ukaisi Comments URL: https://news.ycombinator.com/item?id=50209939 Points: 10 # Comments: 1 | 0.60 | |
| Axios | When AI models refuse to fight hackersAxios In the race to fend off AI-enabled cyber threats , security teams are confronting a new problem: The AI models they rely on to investigate attacks can suddenly refuse to help. Why it matters: While AI giants race to build AI tools that can respond quickly to hacking or other malicious online threats, strict guardrails on their most powerful models lock out defenders mid-investigation, leaving them scrambling for alternatives at critical moments. What's happening: OpenCode, an open-source AI coding agent, said it was compromised over the weekend, allowing attackers to obtain API keys belonging to some customers, including keys for OpenAI, Anthropic and Google services. OpenCode said the breach was "related to a large scale distillation attack that impacted 1.4% of OpenCode Console users." OpenCode co-creator Dax Raad said attackers had been targeting its systems continuously for 48 hours, forcing the company to keep its own AI agents running around the clock to respond. OpenAI , Google and Anthropic have said they worked with affected customers to revoke exposed API keys and address unauthorized usage charges. Zoom in: Raad said on X that frontier AI models initially helped investigate the breach but then "started refusing." The models' safety restrictions reportedly began blocking requests as the investigation turned to potentially malicious code, even though OpenCode was trying to defend its own systems. OpenCode then gained access to OpenAI's Daybreak Blue program, which gives vetted cybersecurity defenders access to models with fewer restrictions. "We definitely need to be more proactive and we've made so many improvements over the last few days," Raad wrote on X Monday. The big picture: The incident underscored a dilemma facing cybersecurity teams trying to figure out when to use powerful proprietary AI models, which come with built-in restrictions, or open-weight alternatives that offer greater control over how they're deployed. When Hugging Face discovered suspicious activity on its systems that it later linked to OpenAI's own agents, its security team turned to a Chinese open-weight model to help investigate after encountering restrictions on frontier models. Yes, but: AI companies maintain that they need to gate access to their most powerful models to ensure that malicious actors can't abuse their cyber capabilities. Between the lines: Cybersecurity teams will have to figure out how to balance the need for faster AI-powered defenses with restrictions designed to keep those same capabilities out of attackers' hands, Chris Jones, chief technology officer at Nightwing, told Axios. "We're all going to have to figure out how that race gets modulated over time," Jones said. "That's a big piece here." Go deeper : Anthropic and OpenAI are now cybersecurity's kingmakers | 0.60 |
Source leans by Media Bias/Fact Check.
Narrow further
Other keywords in the matching articles: the share of them that mention each, with the number of articles.
No other keyword appears in more than one of the matching articles.
Coverage by source
The share of each source's stories in the last 7 days that match the query, from left to right. Sort the table to reorder the bars.
Source lean:leftcenterright
Source leans by Media Bias/Fact Check.
| Axios | 1.3% | 1 | 77 |
| Hacker News: Front Page | 0.6% | 1 | 159 |
Coverage by lean
The share of stories that match the query, in the last 7 days, averaged over the outlets of each political lean with at least 3 stories. The groups differ in size, so a single outlet weighs more in the smaller ones.
- Left-leaning1 of 15 sources
- 0.1%
- Least biased1 of 8 sources
- 0.1%
- Right-leaning0 of 15 sources
- 0.0%
Lean index −2.1: covered more by left-leaning outlets
Each outlet at its MBFC bias score, from −10 (far left) to +10 (far right), as high as the share of its stories that match the query. The lean index is the average score of the outlets covering it, weighted by that share.
lean indexour sources' average (+0.4)leftcenterright
Bias scores by Media Bias/Fact Check.
Source leans based on ratings by Media Bias/Fact Check.