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Researchers Estimate Losses Ranging From Hundreds of Millions to BillionsA Chinese-language phishing-as-a-service platform scammed between $470 million to $1 billion from soccer fans ahead of the 2026 FIFA World Cup starting next month. Domain-by-domain takedowns will not stop this, Group-IB warned.
Agency Expands Research Beyond Safety Testing to Standards and EvaluationThe U.S. National Institute of Standards and Technology is expanding one of its largest artificial intelligence initiatives, rebranding the AI Safety Institute Consortium and reopening participation as the Trump administration pushes a more industry-focused approach to AI development and governance.
NIST Seeks Input to Protect AI Systems Used in Government, Critical InfrastructureThe National Institute of Standards and Technology is seeking public input from security experts and stakeholders to weigh in on security threats from agentic AI warning they may be vulnerable to exploits like hijacking, backdoors and misaligned behavior across federal networks.
NIST and MITRE are collaboratively launching two centers to advance AI security for US manufacturing and critical infrastructure
NIST's Apostol Vassilev Explains Need for Dynamic Response, Not Static TestingAs AI models grow in scale and power, leading to even more unpredictable outcomes, security teams are grappling with how to defend technologies that some experts can't begin to fully comprehend. Cyber response teams are exploring the practice of continuous red teaming, said NIST's Apostol Vassilev.
The U.S. National Institute of Standards and Technology (NIST) updated its Privacy Framework to work cohesively with its Cybersecurity Framework and guide organizations to develop stronger postures to handle privacy risks..
NIST has urged more research and emphasis on developing mitigations for attacks on AI and ML systems
PLUS: Russian bug-buyers seeks Telegram flaws; Another WordPress security mess; NIST backlog grows; and more! Infosec In Brief Organized crime networks are now reliant on digital tech for most of their activities according to Europol, the European agency that fights international crime on the continent and beyond.…
Revised Framework to Address Emerging IoT Risks and TechnologiesThe U.S. National Institute of Standards and Technology plans to revise its Internet of Things cybersecurity framework to address evolving risks posed by emerging technologies and use cases, such as AI and immersive tech. The proposed updates will broaden the focus to entire product ecosystems.
Fall is in the air and frameworks for mitigating AI risk are dropping like leaves onto policymakers’ desks. From California’s SB 1047 bill and NIST’s model-testing deal with OpenAI and Anthropic to REAIM’s blueprint for military AI governance, AI regulation is proving to be a hot and complicated topic.
The AI Incident Reporting and Security Enhancement Act would allow NIST to create a process for reporting and tracking vulnerabilities found in AI systems.
Dark Reading's roundup of strategic cyber-operations insights for chief information security officers and security leaders. Also this week: SEC enforcement actions, biometrics regulation, and painful encryption changes in the pike.
The U.S. National Institute of Standards and Technology (NIST) is calling attention to the privacy and security challenges that arise as a result of increased deployment of artificial intelligence (AI) systems in recent years
Data-Poisoning Attacks Are Critical Threat to Machine Learning Security, NIST WarnsMachine learning systems continue are vulnerable to cyberattacks that could allow hackers to evade security and prompt data leaks, scientists at the National Institute of Standards and Technology warned. There is "no foolproof defense" against some of these attacks, researchers said.
This effort is the first step in NIST’s broader mission to support the development of trustworthy AI
The public working group will develop guidance around the special risks of AI technologies that generate content.
New guidance seeks to cultivate trust in AI technologies and promote AI innovation while mitigating risk
NIST is developing the AI Risk Management Framework and a companion playbook to help organizations navigate algorithmic bias and risk.