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Part four of a six-part series looking at the current wave of AI-driven SOC automation tools — Torq HyperSOC, Tines, Dropzone AI, Prophet Security, Cortex XSIAM/AgentiX, and StackStorm.
Prophet Security takes the same “agentic AI analyst” premise as Dropzone but pushes it across a wider slice of SOC work. Rather than positioning itself purely as an alert-triage tool, Prophet frames its platform around the three jobs Gartner’s own SOC-agent framework says matter most: investigation and response, threat hunting, and detection engineering — with the same context and learning compounding across all three rather than living in separate silos.
Investigation with an audit trail
The core Prophet AI SOC Analyst investigates every alert end to end and delivers a determination — benign, malicious, or inconclusive — along with a severity rating, recommended remediation steps, and a compiled timeline an analyst can audit step by step. The emphasis on auditability is deliberate: Gartner’s guidance on evaluating AI SOC agents (from analysts Craig Lawson and Andrew Davies) projects that most large SOCs will pilot AI agents for Tier-1 and Tier-2 work within the next couple of years, but that only a minority will see measurable improvement without a structured way to actually evaluate what the agent is doing and why.
Expanding into detection engineering
The newest addition to the platform, AI Detection Engineer, tackles a discipline most SOCs simply don’t have the staff for: continuously reviewing investigations, threat hunting results, and telemetry to spot coverage gaps, author new detection rules, tune existing ones, and prioritise the changes that will cut the most real-world risk. Rather than just reporting which rules are switched on, it measures how effective those detections actually are in practice, and builds a running MITRE ATT&CK coverage map to show where the gaps sit. Organisations keep control over how much autonomy the AI is given, with review, version control, backtesting, and rollback built in.
Prophet has picked up strategic investment from both Amex Ventures and Citi Ventures, and publishes its own “State of AI in the SOC” research, which is worth a look if you want a vendor’s-eye view of how adoption decisions in this space are actually being made — Prophet’s own data suggests trust, accuracy, and explainability matter more to buyers than a long feature list.
Next in this series: Cortex XSIAM and AgentiX, Palo Alto Networks’ incumbent-platform answer to the same trend.
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