Latest platform release helps security teams understand how attacks could move through hybrid environments, prioritize the routes that matter most, and provide AI SOC agents with trusted environment intelligence.
MENLO PARK, Calif., July 1, 2026 – RedSeal, the leader in cyber environment intelligence and exposure assessment for hybrid enterprises, today announced the latest release of the RedSeal Exposure Management Platform. Built on RedSeal’s continuously updated digital twin of hybrid environments, the release expands the platform with identity context, AI application analysis, end-to-end attack simulation, richer endpoint intelligence, and Model Context Protocol (MCP) enabled workflows that give AI SOC agents trusted network and risk context.
Organizations have no shortage of security data. Vulnerabilities, identities, endpoints, cloud assets, and security controls all generate their own findings. What remains difficult is understanding how those pieces connect across a real environment and whether they create a path to critical systems.
RedSeal answers that question by modeling the environment itself. Its digital twin maps the relationships between networks, assets, identities, vulnerabilities, security controls, and AI-enabled systems to reveal how an attacker could move through the environment. Instead of reviewing disconnected findings, security teams can understand complete attack scenarios, focus on reachable risk, and prioritize the actions that will have the greatest impact.
“Security teams don’t need another list of vulnerabilities,” said Joseph Ward, Chief Executive Officer. “They need to understand how attackers connect identities, networks, and assets to reach critical systems. This release extends RedSeal’s environment intelligence with identity and AI context, helping teams see how attacks could unfold and where to reduce risk first.”
New capabilities include:
- End-to-end attack simulation. Model complete attack campaigns from internal or external entry points against RedSeal’s digital twin, allowing teams to explore multi-step attack scenarios safely without touching production systems.
- AI application analysis. Understand where AI applications operate, whether they are exposed, and what an attacker could reach if those systems were compromised.
- Identity-aware investigations. Combine identity provider and endpoint data to reveal which users, accounts, and login activity influence an attack path, helping analysts understand where identity changes the investigation.
- Enhanced endpoint intelligence. Investigate assets with richer endpoint details and quickly identify systems exposed to untrusted networks.
- Trusted environment intelligence for AI SOC agents. MCP-enabled workflows provide AI-powered security operations with direct access to RedSeal’s trusted network model, reachability analysis, and risk intelligence, enabling more informed investigations and response decisions.
RedSeal helps security teams answer the questions that matter during both proactive risk management and active investigations:
- How could an attacker move from a selected entry point to critical assets?
- Which identities expand or limit that attack path?
- What becomes reachable if an AI-enabled application is compromised?
- Which remediation actions will reduce the greatest amount of operational risk?
By extending its digital twin with identity activity and AI context, RedSeal moves beyond analyzing individual attack paths to modeling complete attack scenarios across hybrid IT, cloud, OT, IoT, remote, and AI-enabled environments. Security teams gain a clearer understanding of reachability, stronger confidence in remediation decisions, and trusted environment intelligence that improves both human and AI-driven investigations.
The latest RedSeal release is available now.
For more information and to request a demo, contact RedSeal today.
