55
45
57
Private Information Retrieval With Arbitrary Privacy Requirements: Introduction and Capacity Results
Researchers formulate private information retrieval under arbitrary graph-based privacy requirements, deriving capacity bounds and introducing pyramid storage graphs.
The paper generalizes classical private information retrieval (PIR) to arbitrary privacy requirements over graph-based storage systems, where each message is retrieved privately from a pre-specified server subset. The authors derive lower and upper capacity bounds for general graphs and exact capacity results for path and cyclic storage graphs. They also introduce a new pyramid storage graph structure that models symmetric message storage and replication patterns.
15
30
Recorded Future Launches Impact and Metrics Dashboard
Recorded Future releases an Impact and Metrics Dashboard aggregating risk-reduction, detection, and analyst-efficiency metrics for customer leadership reporting.
The dashboard pulls data from a customer's environment, alerts, integrations, threat detections, and analyst activity into six metric areas: platform-wide security value, threat prioritization, threat detection, digital risk protection, account and credential monitoring, and Recorded Future AI and Insikt Group research usage. It is available now to all Recorded Future customers, who are advised to configure Priority Intelligence Requirements in Settings so reporting maps to their intelligence program. The vendor cites its 2025 ROI Report across nearly 300 customers reporting 351.3% annual ROI and says customers aligning alerting to PIRs identified new threats 65% faster.
28
60
55
42
55
55
60
45
55
55
55
60
The Intelligible World of Agents
Recorded Future argues cybersecurity AI agents perform better when reasoning over structured, curated intelligence graphs rather than fragmented alerts or open-source noise.
In a vendor essay, Recorded Future describes how its security agents produced more authoritative analyses after being re-architected to reason primarily over the Recorded Future Intelligence Graph instead of weighting open-source information equally. The author argues agentic decision quality depends mainly on a structured, current operational world model of assets, vulnerabilities, threat actors, detections and organizational context, not on model intelligence itself. The piece further claims frontier model access is commoditizing and that orchestration tooling will converge, making trusted representations of organizational knowledge the durable competitive differentiator.
20
45
30
60
30
55
45
60
55
60
55
42
30
60
42
55
60
60
60
60
45
60
60