Industry Intelligence

Threat Informed Perspectives give organizations a structured, attacker-aligned way to measure exposure, track real security improvement, and validate remediation over time using continuous, evidence-driven insights from NodeZero.

The DoW’s new Cybersecurity Risk Management Construct demands continuous, evidence-driven security. Learn how Horizon3.ai’s NodeZero delivers real-time, attacker-validated proof to support mission resilience.

EDR tools offer visibility, but visibility isn’t protection. Learn why credential-driven attacks often bypass EDR and how NodeZero validates real-world detection, blocking, and effectiveness across your endpoints.

Horizon3.ai’s NodeZero® redefines Risk-Based Vulnerability Management by connecting exploitability, business context, and attacker behavior. With new capabilities for High-Value Targeting, Advanced Data Pilfering, Threat Actor Intelligence, and Vulnerability Risk Intelligence, NodeZero moves vulnerability management from noise to proof—helping security teams prioritize, fix, and verify what truly matters.

When ransomware crippled 27 library branches, the City Public Library System transformed its approach to cybersecurity. With NodeZero®, they moved from reactive recovery to proactive validation—testing real attack paths, fixing critical weaknesses, and verifying results. Their new “Pentest Wednesday®” discipline now delivers measurable, attacker-validated resilience every week.

NodeZero®’s 2025 data reveals the Top 10 most exploited CVEs—all listed in CISA’s KEV catalog. Despite patches, these flaws remain open across real environments. Learn how Horizon3.ai’s Rapid Response tests detect exposure early and give security teams proof of exploitability long before attackers take advantage.

Cybersecurity awareness training builds knowledge—but not proof. This post shows how to evolve from education to validation by continuously testing your defenses with NodeZero®. Discover how real-world verification closes policy gaps, exposes hidden risks, and transforms one month of awareness into year-round assurance your security truly works.

Open-source AI pentesting frameworks can unintentionally transmit sensitive pentest data to external LLM APIs, creating hidden security, compliance, and governance risks for enterprises.

Designing reliable autonomous security workflows requires more than AI and automation—it demands solid architecture. This guide explores orchestration frameworks, integration points, scaling strategies, and human oversight models that help teams move from prototypes to production-ready FixOps systems built for resilience, precision, and continuous verification at scale.

Security teams drown in critical CVEs that don’t matter while missing medium flaws that lead to domain admin. This blog explores how exploitability data—validated through autonomous pentesting—enables agentic AI workflows to move beyond triage, prioritize what’s truly exploitable, and automate verification with confidence.