The Ledger
Every statement that passed quotation and attribution checks. Mix any filter with any other: certainty 1/5, debate potential 5/5, or both at once.
why aren't all 8 resolved? a statement only gets an assessment when the public record can support or contradict it. opinions and what-ifs never can, and 0 checkable ones are still open, waiting for their date. predictions held up or didn't; assertions are supported or contradicted. on every card: ▮▮▮▮▮ certainty · ▮▮▮▮▮ debate potential. speakers are clickable
Maida: Security teams average 16 hours investigating potentially malicious emails
“On average it can take them 16 hours to investigate a potentially malicious email.”
Maida: Playbook automation speeds up alerts without improving threat intelligence
“That's not actually solving the underlying problem, right? You might be processing alerts faster, but you're not getting any smarter or learning more about the attacks that you've seen.”
Liz Maida: Cybersecurity is an ideal use case for graph data structures
“Cybersecurity in many ways is almost the absolute ideal use case for a graph data structure.”
Maida: The average large organization uses over 40 cybersecurity vendors
“So, on average, the average large organization has over 40 security vendors between their network analysis and things that are installed on their endpoints, and all of those security devices are actually generating alerts.”
Maida: Over 90% of enterprise cybersecurity data goes completely unused
“There's far too much data, and actually the majority of it, you know, greater than 90%, Isn't actually used at all.”
Maida: Cybersecurity analysts waste significant time on manual copy-paste queries
“The gap in the technology that they have today means that that's not how they're actually spending a lot of their time. Like a lot of their time is actually copying and pasting things to see if they're on a known bad list or running who is queries and the like…”
Maida: Graph databases excel at relationships but struggle with metadata and counts
“While the graph databases are really efficient and really good at storing the relationships between the various entities, they are not as good at doing things like storing additional metadata or quickly retrieving counts and the like.”
Liz Maida: Akamai operates 230,000 servers processing petabytes of daily data
“Akamai, for those who don't know, actually has over 230,000 servers deployed in over 1600 networks around the world. So when we were talking about data processing, we were talking the order of petabytes on a daily basis.”