Technology companies have information about how AI can be abused because they see it daily, via safeguards and security teams.

True: AI developers (such as Anthropic) operate safeguards, trust-and-safety or threat-intelligence teams that routinely, on a daily or ongoing basis, observe and document misuse of their AI systems, as shown in published threat-intelligence or misuse reports. Mostly true: such monitoring exists and is ongoing, but 'every day' is an overstatement of how often misuse is detected or reported. Mixed: monitoring exists only at some companies, or the visibility into misuse is limited. Mostly false: companies have only sporadic or minimal visibility into misuse. False: the evidence shows companies do not monitor or see misuse of their systems.

Set before the research began.

1. E1 Countering misuse of AI: September 2026 / Anthropic Anthropic Own record

   “Over the past eight months, our Threat Intelligence team identified and disrupted operations in which threat actors tried to use Claude for malicious activity.”

2. E2 Countering misuse of AI: September 2026 / Anthropic Anthropic Own record

   “The cases we share here aren’t typical misuse, but rather examples of the most notable and novel threat activity we’ve identified to date.”

3. E3 Building safeguards for Claude Anthropic · 12 August 2025 Own record

   “We also monitor harmful Claude traffic, going beyond single prompts and individual accounts, to understand the prevalence of particular harms and identify more sophisticated attack patterns.”

4. E4 GTIG AI Threat Tracker: From Prompting to Autonomy – The Evolution of Adversarial AI | Google Cloud Blog Google Threat Intelligence Group (Google Cloud Blog) · 8 September 2026

   “We continuously harden our AI models against misuse by feeding insights from active threat monitoring directly into our safety classifiers and guardrails.”

Anthropic's published materials describe monitoring of harmful Claude traffic to understand the prevalence of particular harms and identify attack patterns [E3]. Its threat-intelligence report says the team identified and disrupted malicious operations over the preceding eight months (E1). Google's threat intelligence group, a source independent of the subject, separately describes active, continuous threat monitoring of its AI models (E4), so such monitoring exists at more than one developer. However, the reports present selected notable cases, not a typical or complete record (E2), and none of the evidence shows misuse being detected literally every day, so "every day" is not established.