Build on GPU-Native Security Intelligence

# Install the Quellra SDKpip install quellra # Configure and start monitoringfrom quellra import StreamClient, AgentPipeline # Real-time event stream with confidence thresholdstream = StreamClient(api_key="qr_...")async for event in stream.subscribe(confidence_threshold=0.85):    print(f"Threat detected: {event.type} | Confidence: {event.confidence}")     # Trigger autonomous investigation pipeline    investigation = await AgentPipeline.investigate(        event_id=event.id,        agents=["correlation", "attack_chain", "blast_radius", "report"],        auto_respond=True  # Autonomous containment    )     print(f"Investigation: {investigation.summary}")    print(f"MITRE ATT&CK: {investigation.mitre_tactics}")

from quellra import StreamClient, AgentPipeline, HuntixQuery # Real-time event streamstream = StreamClient(api_key="qr_...")async for event in stream.subscribe(confidence_threshold=0.85):    # Trigger autonomous investigation    investigation = await AgentPipeline.investigate(        event_id=event.id,        agents=["correlation", "attack_chain", "blast_radius", "report"],        auto_respond=True    ) # Natural language threat hunting (RAPIDS GPU execution)results = await HuntixQuery.hunt(    query="processes that loaded LSASS within 30 minutes of new external connections, past 90 days",    confidence_threshold=0.75) # Integrations via REST APIimport requests # Fetch IOC intelligenceioc = requests.get(    "https://api.quellra.com/v1/threat-intel/ioc/185.220.101.45",    headers={"Authorization": f"Bearer {api_key}"}).json() # Trigger Splunk forwardingrequests.post(    "https://api.quellra.com/v1/integrations/splunk/forward",    json={"event_ids": [event.id], "index": "quellra_threats"},    headers={"Authorization": f"Bearer {api_key}"})