LogicBounce Research

Threat Defense Unit

Adversary Intelligence & Attack Research

The Threat Defense Unit is LogicBounce’s primary threat research organization. Our researchers track advanced adversary groups, develop original attack research, build and validate detections, and continuously feed intelligence into the Nexus platform. We study how attackers actually operate — so defenders know exactly what’s coming.

40+
Adversary groups tracked
500+
Detections authored
Weekly
Intelligence updates

TDU Research Domains

  • Advanced Persistent Threat Tracking
  • Novel Attack Technique Research
  • Detection Engineering & Validation
  • Adversary Emulation & Purple Teaming
  • Threat Intelligence Production
  • Attack Simulation & Red Team Support
What the TDU Does

Turning Adversary Knowledge into Defensive Action

The TDU doesn’t just publish reports. Every finding, every technique, and every detection feeds directly into the Nexus platform — making the platform smarter every time a new attack is documented.

01

Adversary Group Tracking

TDU researchers continuously monitor 40+ advanced adversary groups — tracking their infrastructure, tooling, TTPs, targeting patterns, and operational cadence. This isn’t passive monitoring; we actively infiltrate adversary communities, analyze malware samples, and reverse-engineer attack tooling to maintain current, accurate intelligence on how specific groups actually operate.

02

Novel Attack Technique Research

The TDU conducts original attack research to identify techniques that defenders haven’t seen yet. By building and testing novel attack paths — especially across identity, cloud, SaaS, and AI systems — we discover and document new threat vectors before adversaries weaponize them at scale. Every discovered technique becomes a detection in Nexus.

03

Detection Engineering & Validation

Every TDU research finding is translated into behavioral detections using graph analytics, telemetry correlation, and adversary emulation. Detections are validated against real attack data, tuned to minimize false positives, and continuously updated as adversary techniques evolve. This is the research-to-detection pipeline that keeps Nexus ahead of the threat landscape.

04

Adversary Emulation & Purple Teaming

The TDU provides adversary emulation and purple team services to enterprise customers — running realistic attack simulations based on current adversary TTPs, validating detection coverage, and identifying gaps before real attackers find them. Every purple team engagement feeds new detection logic back into the Nexus platform.

05

Intelligence Dissemination

TDU intelligence is published weekly through structured reports, technical advisories, STIX/TAXII feeds, and direct customer briefings. Intelligence is also machine-readable and integrated directly into Nexus, ensuring platform detections and Overwatch AI’s threat reasoning are always current.

Active Research Areas

What We’re Researching Right Now

TDU research focuses on the attack surfaces that matter most to enterprise defenders today — with particular depth in identity, cloud, and AI-native environments.

Identity-Based Intrusion

Credential theft, pass-the-token attacks, OAuth abuse, Entra ID exploitation, federated identity abuse, and novel techniques for establishing persistence through identity systems.

Cloud-Native Attack Techniques

IAM privilege escalation in AWS/Azure/GCP, serverless function abuse, container escape techniques, cloud storage exploitation, and cross-cloud lateral movement.

SaaS Platform Exploitation

OAuth token abuse, SaaS-to-SaaS attack paths, third-party integration exploitation, shadow IT as an attack vector, and data exfiltration via legitimate SaaS functionality.

AI & Agent Attack Surfaces

Prompt injection techniques, MCP server exploitation, agent framework vulnerabilities, LLM manipulation for privilege escalation, and novel AI-specific persistence mechanisms.

Supply Chain & Third-Party Risk

Software supply chain compromise techniques, dependency confusion attacks, build pipeline exploitation, vendor trust abuse, and third-party integration as initial access vectors.

Detection Evasion Research

Living-off-the-land techniques, SIEM evasion, EDR bypass methods, behavioral detection avoidance, and novel approaches attackers use to hide in enterprise telemetry.

Recent TDU Advisories

Published Threat Intelligence & Research

A sample of recent TDU publications. Full access to the intelligence library is available to Nexus platform customers and registered partners.

Threat Advisory

Novel Entra ID Conditional Access Bypass via Device Compliance Spoofing

TDU researchers identified a technique allowing attackers with compromised credentials to bypass conditional access policies by spoofing device compliance state in Entra ID.

TDU-2026-001 · June 2026 · Identity
Attack Research

Cross-Tenant Lateral Movement via Shared MCP Server Infrastructure

Original research documenting a novel lateral movement technique exploiting shared MCP server deployments to traverse trust boundaries between enterprise tenants.

TDU-2026-002 · May 2026 · AI Agent Security
Adversary Profile

SCATTERED ATLAS: Financially Motivated Group Targeting SaaS OAuth Infrastructure

Profile of a newly tracked financially motivated threat group specializing in OAuth token theft across enterprise SaaS platforms for business email compromise and data extortion.

TDU-2026-003 · May 2026 · SaaS / BEC
Detection Engineering

Detecting Privilege Escalation via AWS Service Control Policy Misconfigurations

A detection engineering guide for identifying and alerting on privilege escalation paths created by SCP misconfigurations in AWS Organizations environments.

TDU-2026-004 · April 2026 · Cloud / AWS
Threat Advisory

Living-Off-Trusted-Sites: Browser Extension Abuse for Enterprise Credential Theft

TDU researchers documented a campaign abusing legitimate browser extension mechanisms to harvest enterprise SSO credentials at scale across financial services targets.

TDU-2026-005 · April 2026 · Credential Theft
Research Report

2026 State of Enterprise Identity Threats: Attack Patterns, Trends & Detections

Annual TDU research report analyzing identity-based attack patterns across 300+ incident response engagements, with detection recommendations and platform guidance.

TDU-2026-006 · March 2026 · Annual Report
Research Areas

Explore Related Research

TDU intelligence feeds directly into Identity Threat Research and AI & Agent Security Research — and all three research areas continuously feed the Nexus platform.

Get a Direct Briefing from the TDU

Our researchers brief enterprise security teams on current adversary activity, emerging attack techniques, and how your defenses stack up against the threats targeting your industry.