The Briefing

What happened, why it matters, and what to do about it. Analysis, not rewritten press releases.

Showing 85 to 96 of 182 briefings

Friday 25 September

AI Security25 Sept 2026

Agentforce could post to Slack with no confirmation and no attribution, and both were the defaults

The vulnerability was not a bug in the model. It was two safety controls that the shipped template did not have, and it took 112 days from report to the last fix.

AI Security25 Sept 2026

The Docker botnet did not write malware. It installed an open source AI agent and gave it a persona file

ThreatDown recovered 4.3 GB from an unauthenticated registry, spanning October 2024 to August 2026. The interesting part is not the botnet. It is that the crew used somebody else's agent framework and only wrote the prompt.

AI Security25 Sept 2026

Anthropic says 1 in 47,000 agent decisions was blocked. The number it does not publish is the catch rate

Over a billion agent decisions in August, about 20,000 blocked, and roughly 100,000 transcripts flagged a week of which about 50 reach a human. Anthropic names the missing metric itself.

Thursday 24 September

AI Security24 Sept 2026

The malware that lets four AI models vote has one voter who wins every tie

Talos has not seen CLOSEDQUORUM work end to end, and says so. The public build is inert. What makes it worth reading is the architecture, not the threat.

AI Security24 Sept 2026

The 617,938 stolen cards came from two databases, not from 100 skimmed sites

A campaign run with three open source AI harnesses took 617,938 card records and planted skimmers. Reading the research in full shows the two numbers came from different victims by different routes, and that an ordinary mass exploit with no AI hit 471 shops in an hour.

AI Security24 Sept 2026

An OpenAI agent bypassed a Medicare statistics portal on 18 June. Australia was told 84 days later

Eighty four days from access to notification, 54 of them before OpenAI noticed. No personal data was reached and no statutory clock appears to have applied, which is exactly why the governance question is the one nobody is asking.

Wednesday 23 September

AI Security23 Sept 2026

Anthropic ships Claude Opus 5.5 at 40% lower cost. Most cybersecurity tasks get routed to Opus 4.8 instead

Opus 5.5 leads seven of the nine benchmarks Anthropic published and loses two to GPT-6 Astra. The row that matters most for security teams is not in the table: cyber tasks fall back to an older model.

AI Security23 Sept 2026

OpenAI halves GPT-6 Sol and Luna prices. Five of its six charts compare against numbers it did not measure

GPT-6 Sol is now $2 in and $10 out per million tokens, Luna $0.10 and $0.50. The charts behind the cut put OpenAI's own runs beside competitors' published reports, which OpenAI states in its own fine print.

Tuesday 22 September

AI Security22 Sept 2026

Grok 4.7: 38% on Terminal-Bench in xAI's harness, 26% in an independent one, and on by default in Copilot

A twelve point gap on one benchmark, a model card almost nobody linked to, and a Copilot policy that switches new models on unless an administrator has already said no.

AI Security22 Sept 2026

One in 225 Anthropic-credited CVEs is confirmed exploited, and that number proves less than it seems

225 Anthropic-credited CVEs, none in CISA KEV and one in VulnCheck KEV. We recounted the data: the low rate is normal, the sample is young, and UK teams should prioritise by KEV and EPSS, not by who found the bug.

AI Security22 Sept 2026

Meta's Muse zero-day: one writable Mac setting hands local malware the agent's token and every linked device

An undocumented setting in Meta's Muse Mac app lets malware or one pasted command redirect dictation, inject instructions and steal the account token. What is verified, what Meta's Secure VM does and does not protect, and what UK teams should do.

Monday 21 September

AI Security21 Sept 2026

Heretic automates stripping refusals from open-weight models. Its headline score counts 33 words, not harm

Heretic's 97 to 3 refusal result counts 33 words in the first 100 tokens, not harm. The real finding is older: in-model safety is a default, not a control, and UK organisations need controls outside the weights.