AI ain’t misbehavin’, except when it does. Also, privateers and hacktivist auxiliaries get busy.
Teaching AI to misbehave. Ransomware's effect on healthcare downtime. Two reports on the state of cybersecurity in the financial services sector. Possible connections between Hamas and Quds Force. Ukrainian cyber authorities report a rise in privateering Smokeloader attacks. Russian hacktivist auxiliaries strike Czech targets. My conversation with Sherrod DeGrippo, host of The Microsoft Threat Intelligence Podcast. Jay Bhalodia from Microsoft Federal shares insights on multi-cloud security. And Winter Vivern exploits a mail service 0-day.
For links to all of today's stories check out our CyberWire daily news briefing:
https://thecyberwire.com/newsletters/daily-briefing/12/204
AI vs. human deceit: Unravelling the new age of phishing tactics (Security Intelligence)
Ransomware attacks on US healthcare organizations cost $20.8bn in 2020 (Comparitech)
Cyberattack at 5 southwestern Ontario hospitals leaves patients awaiting care (CBC News)
State of Security for Financial Services (Swimlane)
Veracode Reveals Automation and Training Are Key Drivers of Software Security for Financial Services (Business Wire)
Hamas’ online infrastructure reveals ties to Iran APT, researchers say (CSO Online)
Hamas Application Infrastructure Reveals Possible Overlap With TAG-63 and Iranian Threat Activity | Recorded Future (Recorded Future)
Ukraine cyber officials warn of a ‘surge’ in Smokeloader attacks on financial, government entities (Record)
Bloomberg: Russia steps up cyberattacks to disrupt Ukraine’s key services (Euromaidan)
Pro-Russia group behind today’s mass cyberattack against Czech institutions (Expats.cz)
Winter Vivern exploits zero-day vulnerability in Roundcube Webmail servers (We Live Security)
Available Results
Generated results are saved to your library for reuse and search.
Choose Template
Pick the result you want. You can review provider and model before generating.
A concise first-pass summary for understanding the episode quickly.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
Repeatable methods, frameworks, mental models, processes, and systems.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.
A concise first-pass summary for understanding the episode quickly.
A detailed readable summary organized by chapter or topic.
A navigable map of subjects, topic flow, and suggested chapters.
A comprehensive, source-grounded extraction of the reusable knowledge in an episode.
Reusable atomic knowledge units extracted from the episode.
A comprehensive extraction focused on health practices, protocols, claims, and safety caveats.
A comprehensive extraction focused on opportunities, strategy, markets, and company building.
Scientific findings, mechanisms, studies, hypotheses, and the limits of the evidence discussed.
Technologies, AI models, technical methods, capabilities, limitations, and adoption implications.
Investment theses, assets, catalysts, valuation reasoning, time horizons, and risks.
Chronologies, actors, causes, consequences, turning points, and competing historical interpretations.
Policies, proposals, stakeholders, arguments, implementation constraints, and predicted effects.
Career paths, skills, hiring signals, workplace decisions, transitions, and limitations of the advice.
Behavioral mechanisms, biases, motivation, habits, emotions, interventions, and evidence limitations.
Economic mechanisms, incentives, indicators, market structure, forecasts, and uncertainty.
Leadership principles, team systems, organizational design, culture, feedback, and failure modes.
Audience, positioning, messaging, acquisition, retention, experiments, metrics, and failed approaches.
Teaching methods, learning strategies, practice, feedback, assessment, and effectiveness evidence.
Theses, premises, arguments, objections, values, thought experiments, and unresolved questions.
Communication patterns, conflict, boundaries, expectations, repair methods, and contextual limitations.
Books, papers, authors, courses, and other learning resources mentioned in the episode.
Repeatable methods, frameworks, mental models, processes, and systems.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Memorable statements and important claims with attribution and source context.
A dedicated inventory of concrete resources named in the episode.
A dedicated analysis of warnings, limitations, trade-offs, weak evidence, and uncertainty.