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Use Case

Proactive Investigation

Adaptive gives hunters and their agents read access across telemetry — with query budgets, masking, and reviewable audit trails. You write the prompts and workflows; Adaptive provides the harness, tools, MCP registry, networking, and guardrails.

harness·h-118
Adaptive
$adaptive harness h-118
↳ session opened
harness $hunt --query=h-118
✓ scope: siem-prod (read-only)
→ 12,480 signals matched
! 47 suspicious login patterns
× 3 beaconing candidates flagged
escalation: filed to IR queue
harness $
read-only
egress: scoped
audit: on
The problem

Threat hunting requires broad access across logs, endpoints, network telemetry, and threat intelligence feeds. AI agents can dramatically accelerate hypothesis testing and pattern detection, but granting them broad read access across the security stack without controls creates the risk of data leakage and makes it impossible to attribute which agent accessed which data.

79%
of threat hunting programs lack proper access controls for the AI tools and agents used in investigations
45%
of security data accessed during threat hunts contains PII or sensitive business data requiring access controls
6.2hrs
average time saved per threat hunt when AI agents assist with data correlation and pattern matching

Threat hunters need broad visibility, but their AI agents should not have unlimited read access across all security telemetry. Without query budgets and access controls, a compromised hunting agent can map the entire security posture of the organization.

The solution

Scoped read access with query budgets for threat hunting agents

Adaptive provides the harness, tools, MCP registry, networking, and guardrails — scoped read access across security telemetry, per-agent query budgets, sensitive data masking, and complete audit trails. You provide the prompts and workflows. Hunters get the visibility they need; the agent runs your hunt logic inside Exo policy envelope, never outside it.


Benefits

How Adaptive helps

1

Cross-Telemetry Access

Grant hunting agents read access across SIEM, EDR, network, and cloud logs through a single policy-controlled interface. No need to manage credentials for each data source.

Write the prompts and workflows that drive the agent. Define hunting profiles that specify which telemetry sources are accessible; agents query through Exo with unified authentication.

2

Query Budgets

Set per-agent limits on query volume, data scanned, and time range accessed. Prevent runaway queries that could impact production monitoring systems.

Configure query budgets per hunting campaign — limit data scan volume, concurrent queries, and historical time range per session.

3

Sensitive Data Masking

Automatically mask PII, credentials, and sensitive business data in telemetry query results. Hunters see security-relevant indicators without raw sensitive values.

Apply masking policies per data classification. IP addresses, user identifiers, and payload data are masked while IOCs and security events are preserved.

4

Hunt Audit Trails

Every query, result, and hypothesis tested by hunting agents is logged with full context. Build reviewable investigation records for team knowledge sharing.

Export hunt audit trails to your threat intelligence platform. Build institutional knowledge from every investigation, whether successful or not.