Every enterprise security platform detects what a compromised identity does. Delios detects whether the identity is real. This is the architecture that makes that possible.
CrowdStrike watches your endpoints. Palo Alto watches your network. Proofpoint watches your email. But none of them verify that the person on the other end is actually who they claim to be.
Every communication that enters or exits your organization passes through six independent verification layers. Each layer runs its own AI models. A threat must bypass all six to succeed.
Delios doesn't run a single model. It orchestrates thousands of specialized AI agents — each responsible for a specific verification task — that work in parallel, share context, and make collective decisions in real time. This is how you get sub-second detection across every communication channel simultaneously.
Specialized agents for voice analysis, facial forensics, email linguistics, behavioral comparison, and network signal analysis. Each agent runs its own ML model optimized for a single detection task.
Graph-based agents that connect signals across channels. A suspicious email + an anomalous call + an unusual login from the same "identity" — correlation agents find the pattern humans miss.
Autonomous agents that execute containment actions — quarantine emails, block calls, isolate accounts, notify targets, create tickets, and write forensic reports — without waiting for a human.
Continuously retrain on new deepfake generation methods, emerging attack patterns, and your organization's evolving communication norms. Delios gets more accurate every day — without manual tuning.
A real-world attack scenario. Your CFO receives a call from someone who sounds exactly like your CEO, requesting an urgent $2.4M wire transfer. Here's what happens.
Your employees don't install anything, learn anything, or change how they work. Delios runs silently behind every call, email, and video meeting — and only surfaces when it matters.
Every incoming and outgoing call is verified against known voiceprints. If a voice clone targets an employee, Delios blocks the call and sends a silent notification. The employee sees: "Potential impersonation blocked" — one tap to review.
Delios runs real-time facial forensics on Zoom, Teams, and Meet. If a participant is using a deepfake, the host receives a discreet alert with confidence score. No disruption to the meeting — just a badge on the participant.
Every message is scored against the sender's behavioral baseline — writing style, typical requests, communication patterns. AI-generated phishing and BEC attempts are flagged or quarantined before the employee ever sees them.
Continuous identity verification runs behind SSO. If a session's behavioral biometrics deviate from baseline (different typing patterns, unusual mouse dynamics), Delios triggers step-up authentication automatically.
Delios extends to BYOD through a lightweight agent integrated with Intune, Jamf, or Workspace ONE. Personal calls on corporate devices are protected. No separate app required — it's part of the MDM policy.
Employees can opt in to protect family members through the Delios consumer app. Spouses and children get voice clone protection and phishing defense. Because attackers increasingly target families to compromise executives.
82% of enterprises have BYOD policies. 42% of employees work remotely. The distinction between "work device" and "personal device" is a security fiction. Delios protects the identity — not the perimeter.
Delios integrates with your identity provider, communication platforms, SIEM, SOAR, and device management through REST APIs, webhooks, and native connectors. No rip-and-replace.
Every detection, every decision, every agent action is logged with immutable audit trails. Delios provides the continuous identity verification layer that NIST 800-207 requires and your auditors expect.
Schedule a 30-minute technical demo with our engineering team. We'll show you exactly how Delios integrates with your existing security stack and what detection looks like in real time.