Schneier on Security

Citizen Lab has uncovered a coordinated AI-enabled influence operation against the Iranian government, probably conducted by Israel. Key Findings A coordinated network of more than 50 inauthentic X profiles is conducting an AI-enabled influence operation. The network, which we refer to as “PRISONBREAK,” is spreading narratives inciting Iranian audiences to revolt against the Islamic Republic of Iran. While the network was created in 2023, almost all of its activity was conducted starting in January 2025, and continues to the present day. The profiles’ activity appears to have been synchronized, at least in part, with the military campaign that the Israel Defense Forces conducted against Iranian targets in June 2025. …

We are nearly one year out from the 2026 midterm elections, and it’s far too early to predict the outcomes. But it’s a safe bet that artificial intelligence technologies will once again be a major storyline. The widespread fear that AI would be used to manipulate the 2024 U.S. election seems rather quaint in a year where the president posts AI-generated images of himself as the pope on official White House accounts. But AI is a lot more than an information manipulator. It’s also emerging as a politicized issue. Political first-movers are adopting the technology, and that’s opening a …

Article. Report.

His conclusion: Context wins Basically whoever can see the most about the target, and can hold that picture in their mind the best, will be best at finding the vulnerabilities the fastest and taking advantage of them. Or, as the defender, applying patches or mitigations the fastest. And if you’re on the inside you know what the applications do. You know what’s important and what isn’t. And you can use all that internal knowledge to fix things­—hopefully before the baddies take advantage. Summary and prediction Attackers will have the advantage for 3-5 years. For less-advanced defender teams, this will take much longer. …

New report: “Scam GPT: GenAI and the Automation of Fraud.” This primer maps what we currently know about generative AI’s role in scams, the communities most at risk, and the broader economic and cultural shifts that are making people more willing to take risks, more vulnerable to deception, and more likely to either perpetuate scams or fall victim to them. AI-enhanced scams are not merely financial or technological crimes; they also exploit social vulnerabilities ­ whether short-term, like travel, or structural, like precarious employment. This means they require social solutions in addition to technical ones. By examining how scammers are changing and accelerating their methods, we hope to show that defending against them will require a constellation of cultural shifts, corporate interventions, and eff­ective legislation…

Longtime Crypto-Gram readers know that I collect personal experiences of people being scammed. Here’s an almost: Then he added, “Here at Chase, we’ll never ask for your personal information or passwords.” On the contrary, he gave me more information—two “cancellation codes” and a long case number with four letters and 10 digits. That’s when he offered to transfer me to his supervisor. That simple phrase, familiar from countless customer-service calls, draped a cloak of corporate competence over this unfolding drama. His supervisor. I mean, would a scammer have a supervisor?…

Notion just released version 3.0, complete with AI agents. Because the system contains Simon Willson’s lethal trifecta, it’s vulnerable to data theft though prompt injection. First, the trifecta: The lethal trifecta of capabilities is: Access to your private data—one of the most common purposes of tools in the first place! Exposure to untrusted content—any mechanism by which text (or images) controlled by a malicious attacker could become available to your LLM The ability to externally communicate in a way that could be used to steal your data (I often call this “exfiltration” but I’m not confident that term is widely understood.)…

A nice story.

Today’s world requires us to make complex and nuanced decisions about our digital security. Evaluating when to use a secure messaging app like Signal or WhatsApp, which passwords to store on your smartphone, or what to share on social media requires us to assess risks and make judgments accordingly. Arriving at any conclusion is an exercise in threat modeling. In security, threat modeling is the process of determining what security measures make sense in your particular situation. It’s a way to think about potential risks, possible defenses, and the costs of both. It’s how experts avoid being distracted by irrelevant risks or overburdened by undue costs…

This site turns your URL into something sketchy-looking. For example, www.schneier.com becomes https://cheap-bitcoin.online/firewall-snatcher/cipher-injector/phishing_sniffer_tool.html?form=inject&host=spoof&id=bb1bc121&parameter=inject&payload=%28function%28%29%7B+return+%27+hi+%27.trim%28%29%3B+%7D%29%28%29%3B&port=spoof. Found on Boing Boing.