A comprehensive intelligence platform analysing 214 coordinated inauthentic behaviour and adversarial threat operations identified by Meta across 70 countries, spanning April 2018 to Q4 2025.
Board Calls for New Rules on Deceptive AI During Conflicts
In analyzing the spread of AI-generated content in armed conflicts in a case on the 2025 Israel-Iran war, the Oversight Board calls on Meta to do more to allow users to identify such output.
Global: Risk Profiling Systems Used to Identify Potential Offenders Breach International Law and Must Be Banned – New Report
Widespread risk profiling by law enforcement, social security and migration is incompatible with international human rights law and must be banned.
A General Method to Find Highly Coordinating Communities in Social Media through Inferred Interaction Links
Political misinformation, astroturfing and organised trolling are online malicious behaviours with significant real-world effects. Many previous approaches examining these phenomena have focused on broad campaigns rather than the small groups responsible for instigating or sustaining them. To reveal latent (i.e., hidden) networks of cooperating accounts, we propose a novel temporal window approach that relies on account interactions and metadata alone. It detects groups of accounts engaging in various behaviours that, in concert, come to execute different goal-based strategies, a number of which we describe. The approach relies upon a pipeline that extracts relevant elements from social media posts, infers connections between accounts based on criteria matching the coordination strategies to build an undirected weighted network of accounts, which is then mined for communities exhibiting high levels of evidence of coordination using a novel community extraction method. We address the temporal aspect of the data by using a windowing mechanism, which may be suitable for near real-time application. We further highlight consistent coordination with a sliding frame across multiple windows and application of a decay factor. Our approach is compared with other recent similar processing approaches and community detection methods and is validated against two relevant datasets with ground truth data, using content, temporal, and network analyses, as well as with the design, training and application of three one-class classifiers built using the ground truth; its utility is furthermore demonstrated in two case studies of contentious online discussions.
Hackers Used Meta’s AI Support Bot to Seize Instagram Accounts – Krebs on Security
The Instagram accounts for the Obama White House and the Chief Master Sergeant of the U.S. Space Force were briefly defaced with pro-Iranian images and messages over the weekend, after instructions began circulating on Telegram showing how to trick Meta's…
ATProto as Agent Identity Infrastructure: A Case Study for NIST's Concept Paper — Filae
How ATProto addresses NIST's four pillars of AI agent identity — identification, authorization, delegation, and logging — with concrete examples from deployed infrastructure.
Top AI Security Incidents of 2025 Revealed | Adversa AI
Discover how AI systems are being hacked in the wild — from prompt injection to agent abuse — with real breaches, lessons, and defenses in Adversa AI’s 2025 report.
An AI model from Meta also hacked another company during testing | CNN Business
Add Meta to the list of companies with AI agents going rogue. An AI model from the parent company of Facebook and Instagram hacked into another company’s systems during cybersecurity testing, a spokesperson confirmed on Wednesday.
An AI model from Meta also hacked another company during testing | CNN Business
Add Meta to the list of companies with AI agents going rogue. An AI model from the parent company of Facebook and Instagram hacked into another company’s systems during cybersecurity testing, a spokesperson confirmed on Wednesday.
Deepfakes, Scams, and the Age of Paranoia
As AI-driven fraud becomes increasingly common, more people feel the need to verify every interaction they have online.
Securing CI/CD in an agentic world: Claude Code Github action case | Microsoft Security Blog
Microsoft Threat Intelligence identified a prompt injection pathway in Claude Code GitHub Action that allowed access to workflow secrets under specific conditions. This research examines the attack chain, responsible disclosure process, Anthropic's mitigation, and guidance for securing AI-powered CI/CD workflows.
Over 20,000 Instagram accounts stolen in Meta AI support hack
Meta has revealed that 20,225 Instagram users had their accounts hijacked in a recent incident where attackers used Meta's AI-powered support system to reset passwords.
Investigating three real-world incidents in our cybersecurity evaluations
In a review of our cybersecurity evaluation transcripts, we found three incidents in which a Claude model reached the internet from within or while interacting with a third-party evaluation environment, and then gained unauthorized access to the real systems of three different organizations. Below we describe what happened, how it happened, and what we’re changing. We encourage other AI labs to perform similar reviews.
How malicious AI swarms can threaten democracy: The fusion of agentic AI and LLMs marks a new frontier in information warfare
Advances in AI offer the prospect of manipulating beliefs and behaviors on a population-wide level. Large language models and autonomous agents now let influence campaigns reach unprecedented scale and precision. Generative tools can expand propaganda output without sacrificing credibility and inexpensively create falsehoods that are rated as more human-like than those written by humans. Techniques meant to refine AI reasoning, such as chain-of-thought prompting, can just as effectively be used to generate more convincing falsehoods. Enabled by these capabilities, a disruptive threat is emerging: swarms of collaborative, malicious AI agents. Fusing LLM reasoning with multi-agent architectures, these systems are capable of coordinating autonomously, infiltrating communities, and fabricating consensus efficiently. By adaptively mimicking human social dynamics, they threaten democracy. Because the resulting harms stem from design, commercial incentives, and governance, we prioritize interventions at multiple leverage points, focusing on pragmatic mechanisms over voluntary compliance.
The Server Called Paranoia: Defend Autistici/Inventati
For twenty-five years, an Italian hacker collective has built communications infrastructure designed to survive censorship, surveillance and police raids. On August 26, the United States designated it a terrorist organization. On September 25, the wind-down period ends.
As atproto matures, adversarial actors will reveal all the places where trust is implicit rather than managed - maybe time to build reputation mechanisms for PDSs like we do for email servers? It'll likely need to be default-block/prove-healthy, or default throttle until proven typical?
Scoiattolo
They've got a huge network that I'm in the process of graphing. They're now setting up their own PDSes. It's sophisticated.
Coordinated Inauthentic Behavior
A collection of reading and resources around patterns of operations online intended to disrupt networks, scam users, and otherwise affect the health of society and social media Should focus on theory and practice but not tools
Uncovering Coordinated Networks on Social Media: Methods and Case Studies
A General Method to Find Highly Coordinating Communities in Social Media through Inferred Interaction Links
Exposing Cross-Platform Coordinated Inauthentic Activity in the Run-Up to the 2024 U.S. Election
Disrupting Dark Networks
Ecosystem or Echo-System? Exploring Content Sharing across Alternative Media Domains
↳ Slopaganda: The Inauthentic YouTube Network Selling Secession to Albertans — Canadian Digital Media Research Network
