Strike48 Frequently Asked Questions

Question 1

What is Strike48, and how does it differ from traditional SIEM and SOAR?

Accepted Answer

Unlike traditional SIEMs that rely on static, query-heavy dashboards, or legacy SOAR platforms that depend on fragile, hard-coded playbooks, Strike48 is an agentic platform. It deploys modular AI micro-agents that dynamically investigate telemetry, perform root-cause analysis, map blast radius, and execute enrichment at machine speed across your entire security stack without requiring manual playbook re-engineering.

Question 2

Does Strike48 replace our existing SIEM or run alongside it?

Accepted Answer

Strike48 is platform and source agnostic. It can sit directly on top of legacy SIEMs (such as Splunk or Devo) or connect directly to raw telemetry in low-cost cloud storage (e.g., AWS S3 buckets). This allows security teams to run real-time detections without requiring expensive hot-tier log parsing or disruptive rip-and-replace deployments.

Question 3

How does the platform reduce alert noise?

Accepted Answer

Strike48 reduces alert noise by 95% to 99% by correlating raw alerts across disparate tools (EDR, NDR, Identity, WAF) into unified, entity-linked cases using ThreatLink case management. Instead of forcing analysts to review thousands of isolated alerts, the system automatically validates false positives, collapses redundant telemetry, and presents a single, fully enriched incident case for triage.

Question 4

How does Strike48 integrate with the existing security tools we already use?

Accepted Answer

Strike48 is a vendor-agnostic platform, meaning it integrates natively with your existing security stack rather than replacing it. It connects via API or MCP to major SIEMs (Cisco Splunk, CrowdStrike NG-SIEM, Microsoft Sentinel, Elastic, Sumo Logic), EDRs (CrowdStrike, Microsoft Defender, SentinelOne), and identity providers (Okta, Microsoft Entra ID) to ingest alerts and enrich data automatically. It also supports webhooks for custom sources and bespoke business processes.

Question 5

Does Strike48 integrate with SIEM platforms like Elastic, Splunk, or Sumo Logic?

Accepted Answer

Yes. Strike48 integrates with leading SIEM and SOAR platforms, including Splunk, Splunk Enterprise Security, Microsoft Sentinel, Google SecOps, Elasticsearch, Sumo Logic, IBM QRadar, LogRhythm, and Datadog. Strike48 agents pull alerts directly from your SIEM, run autonomous triage and investigation, and write the results back to your case management or ITSM system, including ServiceNow, Jira, and Cortex XSOAR. The integration catalog covers more than 250 security tools across EDR, identity, cloud, threat intelligence, and email security, so investigations draw on context from your full stack. Your SIEM stays in place, and Strike48 adds agentic investigation on top of it.

Question 6

How do Strike48's AI workflows use tokens?

Accepted Answer

Strike48 will not burn through LLM token allowances. Strike48 uses a hybrid execution architecture: pre-processing and data extraction steps are handled via lightweight API and Lua scripts, which ingest, filter, and normalize raw logs at zero token cost. Tokens are only consumed when filtered summaries are passed to an LLM node for high-level reasoning or interactive chat triage.

Question 7

Can we migrate our existing SOAR playbooks into Strike48?

Accepted Answer

Yes, you can migrate existing SOAR playbooks into Strike48. You can import existing XSOAR or LogicHub playbook logic, or convert ad-hoc interactive chat investigations directly into automated workflows. AI agents enhance static playbooks by dynamically adjusting investigation steps when encountering unscripted attacker behavior.

Question 8

How does Strike48 prevent unauthorized actions by AI agents?

Accepted Answer

Strike48 prevents unauthorized actions through strict guardrails. Every agent is constrained by role-specific permissions (Allow, Ask, or Never). High-impact remediation actions (such as isolating endpoints, blocking IP ranges, or revoking credentials) can be configured to require mandatory human-in-the-loop approval before execution.

Question 9

How do you guarantee that AI agents won't hallucinate?

Accepted Answer

Strike48 significantly reduces hallucinations by abandoning broad "jack-of-all-trades" prompts in favor of narrowly scoped micro-agents. Each agent is assigned a single, deterministic function (e.g., patient zero identification or CVE verification) backed by strict Knowledge Base documentation and explicit "do not guess" instructions. All agent outputs are verified against an automated test harness before production deployment.

Question 10

Does Strike48 train on my data?

Accepted Answer

Strike48 never trains on customer data. You select your LLM model for a given agent, and the model you choose is invoked through Amazon Bedrock in the AWS account that hosts your deployment. Strike48 also supports deployment across private cloud, on-premises, or fully air-gapped environments with private, self-hosted LLM endpoints for strict compliance requirements. Your inputs and outputs are not used to train models. AWS states that Bedrock does not use customer prompts or completions to train the underlying foundation models, and does not share them with the model providers. Nothing crosses the public internet. Bedrock is reachable over an interface VPC endpoint (AWS PrivateLink), so traffic from your workloads to the model stays on the AWS network. An egress-free deployment is a supported configuration.

Question 11

How does Strike48 handle compliance frameworks (SOC 2, ISO 27001, NIS2) and board reporting?

Accepted Answer

Strike48 continuously audits system logs against compliance frameworks (such as SOC 2 domain standards). It includes dedicated executive reporting agents that automatically compile Incident Impact Summaries, MTTR metrics, and board-ready presentation decks based on verified logs.

Question 12

How much does the Strike48 platform cost?

Accepted Answer

Strike48 offers predictable SaaS licensing paired with predefined annual token packages. This eliminates unpredictable usage-based billing spikes and allows finance teams to forecast security spend accurately. Platform fees apply, but organizations with existing enterprise LLM commitments (e.g., Microsoft Azure OpenAI tokens) can bring their own tokens.

Question 13

How does Strike48 reduce costs?

Accepted Answer

Strike48 lowers costs and avoids the need to add SOC headcount by autonomously resolving the vast majority of alerts, saving hundreds of analyst hours with your existing team. It operates directly on top of your current tools and data, eliminating expensive infrastructure migrations and platform replacements.

Question 14

What does a Proof of Concept (PoC) look like, and how fast is time to value?

Accepted Answer

Standard PoCs are completed in 14 to 30 days using live customer telemetry. Out-of-the-box agent packages (L1/L2 Triage, Threat Hunter, Phishing Triage) deploy in less than a week, enabling security teams to validate measurable MTTR reduction and noise collapse within the first two weeks of testing.

Frequently Asked Questions

Platform Overview & Core Architecture

Integrations & Ecosystem

SOC Operations, Automation & Token Mechanics

AI Safety, Guardrails & Governance

Licensing, ROI & Deployment

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