CyberKord provides a business-aware cybersecurity intelligence layer that monitors identity and asset behavior to detect threats traditional security tools miss. The platform uses a graph foundation model and live digital twin technology to establish behavioral baselines for every human, machine, and AI agent, flagging valid-but-wrong access in real time. It integrates with existing identity providers, SIEMs, EDR/XDR tools, and cloud platforms to enhance rather than replace current security stacks.
Funding
Funding not disclosed
Founders
Product
Problem
Traditional security tools are designed to spot intrusions, but attackers increasingly move through networks using valid identities—whether stolen human credentials or compromised AI agents. Firewalls, EDR, and IAM systems do not flag legitimate logins that violate business intent, leaving organizations blind to insider threats, lateral movement, and access drift until after damage occurs.
Solution
CyberKord provides an intelligence layer that sits above an organization's existing security stack, correlating signals across identity providers, SIEMs, EDR/XDR tools, and cloud platforms to detect what no single system can see alone. The platform builds a behavioral baseline for every identity—human, machine, or AI agent—and flags actions that are technically authorized but contextually wrong. A proprietary graph foundation model identifies complex attack patterns across siloed data sources, while a continuously updated digital twin maps every identity, asset, and attack path to show the enterprise through an attacker's eyes. When a threat is detected, CyberKord can auto-respond by revoking access, quarantining sessions, or alerting teams in real time, and it simulates change impact before deployment to prevent exposure.
Target Audience
Primary customers are enterprise security teams and CISOs at organizations with complex identity ecosystems, including those deploying AI agents, who need to detect insider threats and unauthorized access that traditional perimeter-based tools miss.
Features
- Live digital twin providing a real-time map of every identity, asset, and attack path to critical systems
- Behavioral baselining per identity, role, and context to distinguish legitimate exceptions from real threats
- Intent detection that flags "valid but wrong" access, catching what IAM authorizes but business rules do not
- Graph foundation model that correlates signals across siloed data sources to identify complex attack patterns and reduce alert fatigue
- Just-in-time access aligned to business context with auto-revocation when role, project, or risk shifts
- AI agent guard that inventories every AI agent as an identity, simulates blast radius before deployment, and detects drift when intent diverges
- Integration with Okta, Azure AD, Ping, Splunk, Sentinel, QRadar, CrowdStrike, SentinelOne, AWS, Azure, GCP, Jira, and ServiceNow