Reimagining Security with Cyberpsychology-Informed Network Defenses

The IARPA ReSCIND program aims to improve cybersecurity by developing a new set of cyberpsychology-informed defenses that leverage attacker’s human limitations, such as innate decision-making biases and cognitive vulnerabilities. ReSCIND seeks to develop novel methods to: 1) identify and model human limitations or cognitive biases relevant to cyber attack behavior, 2) understand, measure, and induce changes in cyber attack behavior and success, and 3) provide algorithms for automated adaptation of these solutions based on observed cyber attacker behavior. ReSCIND seeks to augment traditional cyber defenses to help rebalance the asymmetry of cyber defense by imposing a cyber penalty on attackers--causing wasted time and effort--thereby delaying and thwarting attacks.


ReSCIND Proposers' Day Registration site

Sam.Gov Reference

ReSCIND Teaming Form

ReSCIND Technical Description

Proposers' Day Briefings

ReSCIND Proposers' Day Briefing

ReSCIND Proposers' Day NIWC PAC Slides

AIS Capabilities Statement

AIS Lightning Talk

Amida Teaming Form

ANOVA Intel Capabilities Statement

ANOVA Lightning Talk

ARA Lightning Talk

Boston University Capabilities Statement

Boston University Teaming Form

Boston University Lightning Talk

C3 AI Capabilities Statement

C3 AI Lightning Talk

Charles River Lightning Talk

Def-Logix Teaming Form

Draper Labs Lightning Talk 

Georgia Tech Teaming Form

GrammaTech Capabilities Statement

GrammaTech Lightning Talk

IBM Research Lightning Talk

Mary Aiken Professor of Cyberpsychology Lightning Talk

Marymount University Capabilities Statement

Marymount University Teaming Form

Parallax Lightning Talk 

Peraton Lightning Talk

Quorum Research Lightning Talk

RAM Labs Lightning Talk

RAM Labs Teaming Form

Riverside Research Institute Lightning Talk

SAP Capabilities Statement

SAP Teaming Form

SAP Lightning Talk

SIFT Teaming Form

SIFT Lightning Talk

SimSpace Lightning Talk

Social Machines Capabilities Statement

Social Machines Teaming Form

Social Machines Lightning Talk

SSM Capabilities Statement

SSM Teaming Form

Stapleton-Gray & Associates, Inc. Capabilities Statement

Stapleton-Gray & Associates, Inc. Teaming Form

TwoSix Tech Teaming Form

University of Albany Lightning Talk

University of New Castle Lightning Talk

University of Notre Dame Lightning Talk

University of Texas Austin Teaming Form

University of Texas Austin Lightning Talk

University of Texas El Paso Lightning Talk

University of Washington Lightning Talk

Vanderbilt University Lightning Talk

VRMC Lightning Talk



Contact Information

Program Manager

Dr. Kimberly Ferguson-Walter

Broad Agency Announcement (BAA)

Link(s) to BAA


Solicitation Status


Proposers' Day Date

February 28, 2023

BAA Release Date

April 11, 2023

Proposal Due Date

May 26, 2023

Program Summary

Testing and Evaluation Partners

  • University of Maryland’s Applied Research Laboratory for Intelligence and Security
  • MIT Lincoln Laboratory
  • Lawrence Livermore National Laboratory (U.S. Department of Energy)

Prime Performers

  • Charles River Analytics, Inc.
  • GrammaTech, Inc.
  • Peraton Labs
  • Raytheon Technologies Research Center
  • SRI International