Large and growing losses
FBI IC3 reported $16.6 billion in cybercrime losses in 2024, highlighting urgent response and prevention needs.
Sector Playbook
Cybersecurity & Digital Trust AI
Improve detection-to-response speed and evidence quality with AI copilots designed for SOC, incident response, and governance-heavy trust workflows.
Current Challenges
Threat pressure and losses are rising rapidly
New LLM attack surfaces
OWASP highlights prompt injection, data leakage, and tool misuse as top risks for generative AI systems.
Governance requirement
NIST AI RMF emphasizes risk controls, oversight, and accountability in production AI workflows.
Current execution gaps
- SOC teams face alert overload and inconsistent triage quality.
- Incident timelines and evidence trails are hard to compile quickly.
- Security policy reviews do not always match runtime system behavior.
- Human review capacity is not focused on highest-risk events.
What your team gets
- SOC Triage Copilot: priority-ranked alerts with rationale and playbook steps.
- Incident Response Assistant: timeline drafting, containment suggestions, and handoff notes.
- Policy Guardrail Engine: checks prompts and outputs against control policy.
- Trust Evidence Ledger: immutable trace of prompts, actions, and approvals.
90-Day Delivery Plan
From alert overload to governed response intelligence
Days 1-30
Map top incident pathways, false-positive baseline, and policy requirements.
Days 31-60
Deploy triage and response copilots with analyst feedback and controls.
Days 61-90
Measure response speed, quality, and escalation precision; issue an executive action plan.
Outcome KPI tracker
- Mean time to detect and respond
- False-positive reduction rate
- High-severity escalation precision
- Incident evidence completeness
Need faster, safer security operations with AI?
Prioritize the SOC workflow with the highest incident pressure and strict guardrails.
Book the Pilot Call