Data breaches and IP. Current cyberespionage campaigns. A warning that the cyber phases of the hybrid war can’t be expected to be over, yet. Exfiltration via machine learning inference.
CISA adds three known exploited vulnerabilities to its Catalog. A data breach at Acer exposes intellectual property. Sharp Panda deploys SoulSearcher malware in cyberespionage campaigns. US Cyber Command’s head warns against underestimating Russia in cyberspace. Dave Bittner sits down with Simone Petrella of N2K Networks to discuss the recently-released Defense Cyber Workforce Framework. Betsy Carmelite from Booz Allen Hamilton speaks about CISA's year ahead. And are large language models what the lawyers call an attractive nuisance.
For links to all of today's stories check out our CyberWire daily news briefing:
https://thecyberwire.com/newsletters/daily-briefing/12/45
CISA Adds Three Known Exploited Vulnerabilities to Catalog (Cybersecurity and Infrastructure Security Agency CISA)
March 7 CISA KEV Breakdown | Zoho, Teclib, Apache (Nucleus Security)
Acer Confirms Breach After Hacker Offers to Sell Stolen Data (SecurityWeek)
Acer confirms breach after 160GB of data for sale on hacking forum (BleepingComputer)
“Sharp Panda”: Check Point Research puts a spotlight on Chinese origined espionage attacks against southeast asian government entities (Check Point Software)
Pandas with a Soul: Chinese Espionage Attacks Against Southeast Asian Government Entities (Check Point Research)
What can security teams learn from a year of cyber warfare? (Computer Weekly)
Russian cyberattacks could intensify during spring offensives in Ukraine, US Cyber Command general says (Stars and Stripes)
US Bracing for Bolder, More Brazen Russian Cyberattacks (VOA)
Russia remains a ‘very capable’ cyber adversary, Nakasone says (C4ISRNet)
Employees Are Feeding Sensitive Business Data to ChatGPT (Dark Reading)
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 opportunities, strategy, markets, and company building.
Explicit actions, next steps, habits, recommendations, and things to avoid.
Repeatable methods, frameworks, mental models, processes, and systems.
A dedicated inventory of concrete resources named in the episode.
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.