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Frequently Asked Questions

All of your questions about the AI SOC that puts Humans at the Helm, answered.

AI-enabled SOC solutions are designed to support and alleviate analyst burnout by accelerating alert management, investigation, and enrichment. The goal is to allow AI to take care of the menial, time-consuming tasks, like managing alerts and generating report summaries. In some solutions, AI handles actions from start to finish. However, when AI faces situations outside of what it has been trained on, it falters. This is why some AI SOCs keep humans in the loop. In this more collaborative approach, humans oversee AI-driven workflows, configure agents, and control investigations, response, and evidence validation. For highly complex situations where autonomous AI can be risky, human decision-making is essential.

Rather than replacing human talent and intelligence, the Human-AI SOC works alongside your team by automating mundane tasks while keeping people in charge of decision-making. The AI identifies correlations across data sources and provides actionable insights that cybersecurity teams can use to make critical decisions based on experience, intuition, and deep reasoning. At every point, humans provide input and review what the AI is doing. The AI delivers context gathering efficiency, but the uniquely human ability to draw on things like organizational and emotional context, past experiences, and lateral thinking elevates the qualitative judgment and facilitates more proactive protection.

To ensure you have the flexibility you need, an effective AI SOC solution must include built-to-fit integrations, bespoke connectors, and an architecture that adapts to your workflows with the ability to scale and change as your needs evolve. Your solution should integrate with the platforms and tools your team relies on, like SIEM, SOAR, CAASM, CTI, email and identity security solutions, and more. For maximum sustainability, it must serve your ecosystem as it is, while also offering the ability to expand with your needs.

It’s important to remember that turnkey solutions are fixed and rigid, which can be problematic for complex ecosystems. You don’t just want to add another tool or insert additional steps into your SOC processes. An AI SOC should be flexible, adaptable, and able to connect all of your data sources seamlessly in a way that empowers your team to access their security tools and insights in the same space.

Any AI SOC should offer alert triage, investigation, and enrichment. In addition to these capabilities, it is important to consider the quality, reliability, and effectiveness of the solution you choose. An AI SOC is only effective if it can deliver timely information and insights that your team can use to prevent attacks and minimize damage.

You want a solution that enables you to quickly assess risk exposure and adjudicate threat level to accelerate time to detect, investigate, and respond. The AI should enable a decision layer that operates above, beyond, across, around, and with existing data sources, tools, and platforms. It should survey the incessant wave of alerts, analyze structured and unstructured data, automate investigations, and provide enrichment to quickly deliver relevant, contextualized, and actionable insights. When threat hunting, the AI SOC tool should identify the blast radius with contextual awareness. An effective solution will prioritize alerts based on imminence, threat scope, and potential impact and then provide a space where analysts can seamlessly investigate and collaborate across all of your security platforms.

Cybersecurity teams need to be able to access, connect and use all available data sources and security tools together. Rather than extracting or ingesting data, which slows things down and introduces risk, the human-AI SOC analyzes structured or unstructured data where it is. It uses contextual awareness to connect the dots across multiple alert and threat intel sources, grouping them into a consolidated view. You can initiate an investigation by uploading a document or inputting a URL to prompt the AI to evaluate the risk relative to your organization. And analysts can access, visualize, and work with all the elements and data feeds in their existing security ecosystem with confidence that the information they are working with is complete, relevant, contextualized and actionable.

Every organization’s risk profile is unique. And different threats present different levels of risk for companies based on their industry, regulatory requirements and audiences served. The Andesite Human-AI SOC provides essential contextual awareness that lets you focus on the real threat and understand exactly where within your organization remediation is needed. The Andesite Human-AI SOC proactively combines organizational data sources to unlock insights relevant to each customers’ specific risk profile and provides contextual relevance and information to the SOC team assessing threats. This allows you to prioritize and deliver timely investigations and early detection for the threats that are most pressing for your business.

The Human-AI SOC is compliance-high, CISA Secure by Design, and aligned with FedRAMP High, SOC 2, NIST 800-53 (High), NIST CSF, ISO 27001, ISO 27701, ISO 42001, PCI DSS, HIPAA and AI RMF frameworks. Andesite is ideal for enterprise-scale organizations in financial services, healthcare, technology, critical infrastructure, and the public sector. A clean evidence trail is available for any AI-driven investigation for audit purposes, so you can review the entire process and trace it back to verified sources and insights for full accountability.

The Andesite Human-AI SOC has security, compliance, and AI safety at its core. Andesite never uses customer data to train its AI. Contextual organizational awareness is only available within your system. It also includes end-to-end encryption at rest, in-transit, and in storage, and none of your data will cross paths with other customers’. In on-prem scenarios, deployments are air-gapped and self-managed. Andesite has robust monitoring controls in place and we regularly conduct red teaming testing. Access is controlled by single sign on, multi-factor authentication, as well as integration with an identity provider (IDP), a common access card (CAC), or personal identity verification (PIV). And only data needed for immediate tasks is temporarily stored in the deployment environment.

Putting humans at the helm enables a more collaborative and organizationally-aware approach to security operations. This is key in highly complex situations where autonomous AI can be risky. Humans provide input into the investigation process and can review what the AI is doing with a broader contextual lens. By drawing on organizational and emotional context, past experiences, and lateral thinking, humans offer vital qualitative judgment and accountability that AI cannot provide. This collaborative approach gives junior analysts access to organizational and tribal knowledge that elevates their capabilities, while senior analysts have time to focus on prevention and threat hunting to reduce the organizational risk surface. 

For financial services companies, an AI SOC must meet strict regulatory requirements and ensure complete auditability. The Andesite Human-AI SOC is Compliance High with built-in security that meets the highest requirements for financial institutions, including SOC 2 Type 2, NIST 800-53 (High), NIST CSF, ISO 27001, ISO 27701, ISO 42001, PCI DSS, AI RMF, CSA STAR and AI-STAR Level 2. Our product has been proven at enterprise-scale through implementations at a number of financial services companies across a variety of use cases, including endpoint, network and cloud activity, phishing, identity and access, and more. The Andesite Human-AI SOC includes Evidentiary AI which ensures audit readiness by providing an evidence trail of AI-driven investigations that can be traced back to verified sources and insights to document, review and audit the process.

We are a diverse team of cyber and security experts, technologists, and experienced product builders. We have honed our experience in some of the largest national security, tech, cybersecurity, and data organizations on the planet. Our leaders spent decades defending our nation against sophisticated adversaries and we have designed our products to support those who protect others. Our bionic SOC solution connects data silos, tools and platforms across the security ecosystem, delivers contextual information and offers verifiable evidence for cybersecurity investigation and collaboration.

The human-AI collaboration layer operates above, beyond, across, and with your existing data sources, tools and platforms. This is a decision layer where analysts can access, visualize and work with all the elements and data feeds in their security ecosystem. This is where the AI connects the ecosystem, analyzes structured and unstructured data without ETL and automates investigations and enrichment to deliver actionable insights to your analysts. It’s an efficient and proactive way to reduce attack surfaces, eliminate blind spots and accelerate investigation, context gathering and threat response.

Evidentiary AI ensures all of your investigations are reliable and audit-ready. Every AI-driven investigation can be traced back to verified sources and insights that can be reviewed to increase confidence and reduce risk.

There are a variety of use cases where the Human-AI SOC can make a difference in your enterprise:

  • Alert investigation – Investigate and prioritize alerts from multiple sources in a unified view, using AI-assisted context and enrichment to rapidly assess risk and drive confident decisions.
  • Cloud – Correlate and enrich cloud activity across logs and signals to quickly identify suspicious behavior and understand its context and impact.
  • Endpoint – Analyze and correlate endpoint activity to reconstruct timelines, assess scope and blast radius, and determine appropriate response actions.
  • Identity and Access – Detect and investigate identity-based threats such as credential misuse, anomalous access, and privilege abuse to quickly confirm risk and contain impact.
  • Network – Identify and investigate unusual network traffic patterns, including lateral movement and cross-signal activity, to uncover hidden or emerging threats.
  • Ransomware – Identify ransomware indicators early, assess potential impact, and support rapid containment to reduce operational and organizational risk.
  • Threat hunting – Initiate investigations from analyst-driven entry points—including queries, documents, URLs, or alert groups—to proactively uncover threats and determine scope.

Threat intelligence – Turn threat intelligence into action by launching investigations directly from intel sources (including PDFs and URLs), enriching findings, and determining threat relevance and impact in minutes.

AI has enabled adversaries to increase the scale and speed of cyber threats and attacks. These attacks will increase and won’t be going away anytime soon. Combatting this demands reliable, secure and safe AI solutions to reduce your risk surface and take a more proactive security posture. As the cybertech landscape evolves, you need a solution that can help you adapt at scale. That’s the Human-AI SOC.

Andesite’s automated intelligence investigations allow analysts to reduce the time they spend processing threat intelligence reports from hours to minutes, and correlates them with alerts and signals across multiple sources. This enables analysts to swiftly deliver risk assessment, prioritization and recommendations.

Our product architecture is designed to protect customer applications and data. It is flexible and adapts to customer use cases, tools and processes. We have also built in essential security features that strengthen our approach to safety, including:

  • Single-tenancy SaaS and air-gapped self-managed deployment options
  • Access + identity security via IDP + CAC / PIV.
  • No ETL, only the minimal data needed for the task at hand is temporarily stored in the deployment environment.
  • AI is never trained with customer data
  • End-to-end encryption at-rest, in-transit, and in-storage

Our security, trust and safety program permeates all Andesite practices.

We have integrations with Tenable, Microsoft, Splunk, Domain Tools, Snowflake, Atlassian, ThreatQuotient, Google Cloud, Archer, Databricks, Sublime Security, and many others. Check all available connectors here.

Yes. Analysts can launch and conduct investigations in plain English using Andesite. While other tools require senior-level syntax and tool-specific expertise, Andesite uses natural language queries to streamline the process and empower T1/junior analysts to initiate and conduct full investigation cycles.

Yes. Andesite lets you configure your own agents to focus on specific use cases, like phishing or alert triage, or to support determined workflows or assignments, like looking for anomalies in the network. Working under human oversight, the agents adapt to your ecosystem, enabling your SOC team to focus on the critical decisions, work smart and build a sustainable advantage.

In AI-enabled SecOps products, accuracy is essential. We use robust evaluation frameworks to continuously assess our AI accuracy and track quality over time. These structured test protocols look at correctness, relevancy, and faithfulness to evaluate accuracy, ensure trust, and detect risk of hallucination. We regularly run attacks based on the latest threats in our simlab to evaluate our performance in real-world scenarios that emulate the chaos and messiness our customers face. Since Andesite is model agnostic, we make sure every assessment performs reliably and accurately across a variety of models, SecOps and cybersecurity knowledge bases.

Andesite offers an ROI calculator that you can adjust to match your SecOps environment and learn how Andesite would optimize and accelerate your SOC while delivering measurable savings and returns.