Guardare Raises $5.6 Million in Oversubscribed Follow-On Round, Bringing Total Funding to $10.7 Million
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Guardare connects data from your existing security tools to help your team understand exposures across people, devices, and applications. Use that context to investigate gaps, agree on priorities, and identify the next action. Explore Guardare in a demo.
Last reviewed October 16, 2026.
7AI is built for a very specific problem: helping SOC teams move faster on alert investigation, triage, and analyst workload reduction. That is valuable, especially in environments where the security team is buried in alerts and needs automation around investigation steps.
The limitation is that SOC automation usually starts after a signal has already fired.
Guardare looks at the problem from the other direction. It helps teams understand why the signal exists in the first place, what exposure created it, and whether the same risk is showing up across users, devices, identities, SaaS applications, cloud, on-prem infrastructure, vulnerabilities, and security controls.
For example, an alert may point to suspicious activity on an endpoint. But the real issue may be broader. The device may not be enrolled in MDM. The EDR may be installed but only running in audit mode. The user tied to that device may still have access to sensitive SaaS applications. The same user may also have a breached password, weak MFA posture, or unnecessary group membership. A SOC automation tool can help investigate the alert. Guardare helps explain the exposure behind it.
That difference matters.
Most teams do not just need faster alert handling. They need to know which parts of the environment are creating repeatable risk. Guardare connects the dots across the tools a company already owns and turns those findings into a clearer exposure story.
Guardare also brings product-level context into that process. The platform is trained across more than 200 security and IT products, which helps it identify misconfigurations, unused best practices, missing controls, and product settings that may be increasing exposure without showing up as a clean alert.
The platform is also mapped to MITRE ATT&CK and MITRE D3FEND, so teams can connect likely attacker behavior to practical defensive actions. That means Guardare is not only showing that something is vulnerable or misconfigured. It is helping security and IT teams understand how that weakness could be used, which controls can reduce the risk, and where to focus first.
So the comparison is not just “AI SOC versus exposure management.” It is alert automation versus environmental understanding.
7AI can help a SOC move faster once something is already in motion. Guardare helps reduce the conditions that create the risk in the first place.
Best for: Teams that need connected exposure visibility across people, devices, software, identities, applications, vulnerabilities, misconfigurations, cloud, on-prem systems, and controls.
7AI is usually evaluated when the buyer is focused on automating SOC investigations and reducing analyst workload. Guardare starts with a broader operating question: what is actually exposing the organization, how do those conditions connect, and what should be fixed first? Guardare finds it before it is a problem.
Watch-Outs
Guardare isn't an automated SOC, so if you are looking for automated triage at this stage, Guardare is not a great fit.
Best for: Teams that want to automate security operations, enrichment, case handling, and response workflows.
Torq comes up when buyers are looking at AI-driven security hyperautomation and SOC workflow automation. It belongs in the conversation when that is the real buying problem, but it should be evaluated against how well it turns findings into prioritized action.
Best for: Security and IT teams that want flexible automation without heavy SOAR engineering overhead.
Tines comes up when buyers are looking at security automation and no-code/low-code workflow orchestration. It belongs in the conversation when that is the real buying problem, but it should be evaluated against how well it turns findings into prioritized action.
Best for: Enterprises already using ServiceNow that want security work routed through IT and business workflows.
ServiceNow Security Operations comes up when buyers are looking at security incident response, vulnerability response, and workflow automation on the ServiceNow platform. It belongs in the conversation when that is the real buying problem, but it should be evaluated against how well it turns findings into prioritized action.
Best for: Organizations that want a managed SOC partner with threat intelligence and response support.
CyberProof comes up when buyers are looking at managed detection, threat intelligence, and security operations services. It belongs in the conversation when that is the real buying problem, but it should be evaluated against how well it turns findings into prioritized action.
Best for: Large SOC teams evaluating SIEM modernization and Palo Alto-centered security operations.
Palo Alto Cortex XSIAM comes up when buyers are looking at AI-driven security operations, SIEM replacement, XDR, automation, and data platforming. It belongs in the conversation when that is the real buying problem, but it should be evaluated against how well it turns findings into prioritized action.
| Evaluation area | 7AI | Guardare |
|---|---|---|
| Primary job | A soc evaluating how investigation and response work is performed. | Review connected security data, explain priorities and assign follow-up work. |
| Workflow to test | Inspect the evidence, agent actions and human approval points. | Inspect the recommendation, assign a responsible person and test Jira handoff. |
| Scope boundary | Guardare exposure reviews do not establish autonomous investigation or SOC response equivalence. | Confirm supported data, permissions and where the actual change is made. |
| Acceptance evidence | Record analyst review, exceptions and the final case outcome. | Record accepted ownership, completed work and the evidence used to close the action. |
Exposure management helps teams answer a simple question that is hard to answer with separate tools: what are we exposed to, why does it matter, and what should we fix first?
In real environments, exposure can come from:
Guardare should be evaluated when the buyer wants more than a AI SOC automation point solution or doesn't trust AI Agents in Security. It helps teams connect the operational details that usually live in separate tools: users, devices, software, identity, cloud, on-prem assets, SaaS applications, vulnerabilities, misconfigurations, and control coverage.
It also helps teams move beyond inventory and alert review. Guardare uses product configuration knowledge, product best-practice context, MITRE ATT&CK mapping, and MITRE D3FEND defensive guidance to show where the organization is exposed, how an attacker may take advantage of that exposure, and what practical control improvements can reduce the risk.
For buyers looking at AI, the privacy model matters. Guardare gives teams a way to ask plain-English questions about their own environment without pasting asset, identity, vulnerability, or control data into public tools.
The value is not more noise. It is fewer, better decisions. Guardare keeps watching for the conditions that matter and helps security and IT teams focus time and budget on the issues most likely to reduce exposure.
Some buyers compare 7AI with platforms in adjacent categories. That can include vulnerability management, external attack surface management, SIEM, XDR, MDR, security validation, workflow automation, cyber risk quantification, remediation tools, or security operations platforms.
Guardare should not be forced into every one of those buckets. It answers a different question. A scanner may show what is vulnerable. An MDR provider may show what happened. A workflow platform may route tickets. A validation platform may prove a path works. Guardare helps explain the exposure conditions before they turn into an incident or an endless queue of tickets.
