💡 Key Strategic Takeaways
- ✓100% Visibility vs Selective Sampling: AI agents fail without complete telemetry; Strike48 delivers all raw logs without cost-prohibitive indexing limits.
- ✓Autonomous Agent Execution: Specialized agents handle tier-1 triage, correlation, and initial incident response in sub-seconds.
- ✓Prospector Studio: SecOps engineers can build, test, and deploy custom agent pipelines using visual no-code workflows.
Strike48 Solves The Visibility Problem
For the past decade, Security Operations Centers (SOCs) and IT infrastructure teams have been forced into an unsustainable compromise: filter and drop data, or face skyrocketing storage bills. Traditional SIEMs charge by data volume ingestion, forcing teams to discard up to 60% of telemetry that could prove crucial during an incident investigation.
When autonomous AI models are introduced into an environment with fractured visibility, the results are catastrophic. AI hallucinations, false negatives, and incomplete investigation graphs occur when the underlying log foundation has deliberate blind spots.
Introducing Agentic Log Intelligence
Strike48 changes the paradigm from passive querying to proactive, agentic reasoning. Instead of human analysts manually executing hundreds of repetitive queries across disconnected silos, Strike48 deploys specialized, autonomous AI agents directly over real-time event streams.
These agents possess domain-specific memory, understand multi-stage attack patterns (MITRE ATT&CK framework), and can traverse petabytes of historical logs in parallel to reconstruct full timeline narratives.
"Agentic AI is not about replacing human decision-making — it's about eliminating the mechanical friction of hunting for answers in massive data haystacks."
— Marc van Zadelhoff, CEO at DevoProspector Studio: Build Agents Without an AI Team
One of the biggest hurdles enterprises face is the complexity of deploying custom LLM pipelines. Prospector Studio solves this by providing a modular, drag-and-drop workspace where SecOps practitioners can define agent behaviors:
- Trigger Rules: CloudWatch spikes, unauthorized IAM privilege escalations, or suspicious network egress.
- Context Retrieval: Auto-pull user behavior analytics (UBA), threat intelligence feeds, and VPC flow logs.
- Automated Playbooks: Isolate compromised pods, revoke OAuth tokens, and compile instant Markdown incident briefs for Tier-3 analysts.
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The Strike48 Security Agent Package
Out of the box, Strike48 includes purpose-built agent bundles designed for high-frequency security postures:
- Identity Investigation Agent: Correlates Okta, Azure AD, and AWS IAM session lifecycles to detect impossible travel and token hijacking.
- Cloud Ransomware Tracker: Monitors S3 bucket object versioning anomalies and lateral bucket policy modifications.
- API Endpoint Sentinel: Flags anomalous payload structures and perimeter credential stuffing attacks in real time.
Built on a Proven Foundation
Strike48 is powered by the battle-tested Devo Data Platform, currently ingesting over 5 petabytes of streaming data daily across Fortune 500 banks, telecom operators, and healthcare enterprises.
Because the storage architecture separates compute from cold archive storage, search queries execute in sub-seconds regardless of whether you are inspecting events from 2 minutes ago or 2 years ago.
What Comes Next
The rollout of Strike48 begins today for enterprise early access partners, with general availability expanding across AWS Marketplace and Google Cloud in Q2 2026.
As organizations transition from passive dashboards to autonomous execution, having a unified, high-speed log platform becomes the cornerstone of resilient digital operations.
