AI-powered cybersecurity operations. The SOC, known.
Known Security is an AI-powered cybersecurity operations platform that unifies SOC intelligence, governed workflows, and human decision-making.
One AI-powered cybersecurity operations platform for the complete security picture.
Known Security connects AI security agents, governed SOAR workflows, XDR, SIEM and NDR, UEBA, attack surface management, vulnerability management, and patch management in one operating system.
Capabilities
- AI-Powered SOC Operations — Turn alert volume into clear, prioritized decisions with intelligence built into every layer of the SOC.
- Autonomous Workflows — Move from detection to action with workflows that investigate, coordinate, and keep your team in control.
- Proprietary XDR — See the connections between signals across your environment through a unified detection and response layer.
- Integrated SIEM + NDR — Bring the context of network and security telemetry together in one operating picture.
- AI Analytics & ML — Find meaningful patterns in the noise with analytics designed for the realities of modern infrastructure.
- Attack Surface Management — Understand your exposed surface and make the next security decision with confidence.
- Vulnerability & Patch Management — Prioritize vulnerabilities and patch work with the risk context, ownership, and verification security teams need to govern remediation.
Security Operations Challenges
- Alert Volume Is Overwhelming the Team — Too many signals. Not enough context to prioritize.
- Our Tools Don't Share Context — Fragmented visibility means every investigation starts from scratch.
- We Can't See Our Full Attack Surface — Unknown exposure is the risk that doesn't appear in your dashboard.
- Response Takes Too Long — Manual steps between detection and containment add up across every incident.
- Governing Automation Without Losing Oversight — Automation adds risk if the team can't see what it's doing or why.
Latest from Known Security
- 360 SOC Launches Known Security for General Availability — Known Security brings AI-powered SOC operations, autonomous response, proprietary XDR, SIEM, NDR, attack surface management, and compliance together in one unified platform.
- A Security Leader's Guide to Modernizing Operations Without Replacing Everything at Once — Modernization does not require a rip-and-replace. The more durable path integrates what already works and adds capability where it changes outcomes.
- Exposure Management Before the Alert: A More Complete Security Picture — Detection tells you something happened. Exposure context shows what was reachable and vulnerable beforehand—and gives the SOC a stronger starting point.
- Traditional SOC vs AI-Powered SOC: What Actually Changes — An AI-powered SOC does not replace the people or the process—it changes where analysts spend their time and how quickly context reaches the decision.
- Reducing Alert Noise Starts with Better Context — Fewer alerts is the wrong goal. Better context is the useful one—because noise is usually a symptom of signals arriving without the story that explains them.
- SIEM, XDR, and NDR: Different Jobs, Better Together — SIEM, XDR, and NDR are often compared as competitors. They are better understood as complementary jobs that produce a fuller security picture when connected.
- Governed Automation: Where Humans Belong in an AI SOC — Automation earns trust when its boundaries are explicit and its decision points are visible. The question is not whether to automate, but where people should stay in control.
- Point Tools vs a Unified Security Platform — Specialized tools solve individual problems well, but the seams between them can become the SOC's biggest operational cost. Consolidation is a tradeoff worth understanding.
- What AI Agents Do in a Security Operations Center — AI agents in the SOC are best understood as decision support and workflow acceleration—doing repeatable connective work so analysts can focus on judgment.
- AI MDR: From Detection to Guided Response — Managed detection and response is becoming more useful when AI handles the connective work between an alert and an analyst's next best action.
- AI SOC: What "Autonomous" Really Means — An autonomous SOC is not a black box. It is a security operation that can move faster because context, policy, and action are connected.
- AI SIEM: Why Context Matters More Than Volume — The next generation of SIEM is not defined by how much data it stores, but by how quickly it turns data into security context.
- UEBA: Making Identity Signals Actionable — User and entity behavior analytics is most useful when unusual behavior is connected to the people, assets, and workflows that can explain it.
- Attack Surface Management: Start Before the Alert — Knowing what is exposed gives the SOC a head start when a new signal arrives—and helps teams reduce risk before exploitation.