AI-Powered Detection, Investigation & Response

COMPANY OVERVIEW

AiStrike, founded in 2023 and headquartered in Dublin, California, builds AI-powered technology designed to enhance cloud security investigation, response, and detection engineering. The company focuses on reducing alert fatigue and accelerating incident mitigation through behavioral analytics, graph-based correlation, and machine learning-driven autonomous workflows. In January 2026, AiStrike received $7 million in seed funding led by Blumberg Capital with participation from Runtime Ventures and Oregon Venture Fund. The company has achieved SOC 2 Type II compliance, underscoring its commitment to security and confidentiality as it helps security teams shift from reactive alert triage to proactive threat identification.

CORE FOCUS

Security operations centers face an unsustainable volume of alerts that outpaces analyst capacity, leaving genuine threats buried under noise. AiStrike addresses this by deploying composite AI agents that combine large language models with dynamic threat modeling and behavioral analysis to autonomously triage, investigate, and remediate security incidents. The platform ingests signals across cloud environments, correlates them using graph-based techniques, and applies continuously updated threat intelligence to identify attack patterns and root causes in real time. By learning each customer's environment, AiStrike minimizes false positives and reduces the manual work required to manage detection rules and data feed quality.

PRODUCTS & TOOLS

Alert Triage & Composite Investigation — Autonomous alert grouping and investigation engine that eliminates manual triage overhead.

• Groups related alerts and reduces alert noise through MITRE-based correlation
• Deep automated analysis with guided remediation actions and built-in case management
• Root cause identification powered by graph-based behavioral analytics
• Continuous learning from simulated attack data to improve detection accuracy over time

Threat Intelligence & Impact Analysis — Unified threat encyclopedia that normalizes global intelligence and maps threats to exposed assets.

• Normalizes and prioritizes global intel feeds relevant to each environment
• Maps active threats to specific assets and identifies exposed systems
• Enables targeted threat hunts based on real-time intelligence context

Detection Optimization & Engineering — AI-driven detection tuning that closes MITRE coverage gaps and eliminates noisy or silent rules.

• Identifies MITRE ATT&CK coverage gaps and auto-generates detection rules
• Tunes noisy detections to reduce false positives and improve detection efficacy
• Validates silent detections that exist but never fire

Data Feed Quality & SIEM Cost Optimization — Visibility into log source health and coverage to optimize ingestion costs.

• Identifies missing event data and maps logs to MITRE TTPs
• Detects unused log sources and optimizes SIEM ingestion to reduce storage costs
• Improves detection coverage without increasing data volume