Phoenix Cybersecurity & Data Privacy Advisory
Security Operations Center (SOC) Transformation
Phoenix Advisory can support building AI‑first SOCs for global financial institutions. We fuse SIEM/XDR telemetry with agentic AI “Tier‑1 analysts” that auto‑triage alerts, enrich incidents, and launch RPA playbooks in seconds. LLM‑driven runbooks guide humans through complex investigations, cutting MTTD/MTTR while giving CISOs a single, real‑time view of cyber risk across trading, payments, and cloud.
Digital Forensics &
Incident Investigation
Our incident management experts can design AI‑enabled forensics programs built for regulatory scrutiny. During an incident, agentic AI hunts across logs, endpoints, and cloud artifacts, while RPA collects evidence and preserves chain‑of‑custody. LLMs reconstruct timelines and draft regulator‑ready reports, helping you answer “what happened, what was exposed, and what’s next” with speed, precision, and confidence.
Multi‑Cloud Data Privacy & Sovereignty
Our experts can advise on risk controls design to secure sensitive data across AWS, Azure, GCP, and SaaS while meeting global banking and privacy rules. AI‑powered discovery and classification find regulated data everywhere it lives, and agentic AI checks new workloads for residency and privacy violations before go‑live. LLMs map policies to technical controls, so your architects can move fast without losing control of client, trading, or PII data.
Zero Trust Identity &
Access Management
We help financial institutions execute Zero Trust using AI‑driven identity intelligence. Machine learning and agentic AI baseline behavior for traders, quants, and developers to spot anomalous access in real time. RPA with AI automates joiner‑mover‑leaver and privileged‑access workflows, while LLMs simplify access reviews and attestations—shrinking attack surface and audit friction simultaneously.
Threat Modeling &
Threat Intelligence
Our team of experts can turn noisy feeds into AI‑ranked threats tailored to your environment. Agentic AI maps TTPs to your specific crown‑jewel systems and proposes control changes, while LLMs summarize complex intel into board‑ready narratives. Our models continuously correlate IOCs, vulnerabilities, and business context so CISOs know exactly which threats matter this week—and what to do about them
Cloud, Application & API Security by Design
Our advisory team embeds AI‑native security into modern engineering stacks. LLM‑based code copilots and scanners flag vulnerable patterns, misconfigurations, and secret leaks directly in the CI/CD pipeline, while agentic AI opens tickets and verifies remediation. From APIs to Kubernetes, RPA with AI enforces guardrails so teams can ship new products faster without expanding cyber risk.
Data Loss Prevention (DLP) & Insider Risk
Third‑Party/Vendor
Cyber Risk Management
Our advisory team can provide guidance on protecting MNPI, client data, and trading strategies with AI‑enhanced DLP and insider‑risk programs. LLMs understand the context of emails, chats, and documents—not just keywords—while behavior analytics detect subtle exfiltration patterns traditional rules miss. Agentic AI and RPA automatically quarantine risky actions, escalate true positives, and generate concise, defensible case files for compliance.
Phoenix gives CISOs continuous, AI‑driven visibility into vendor and fintech risk. Agentic AI monitors threat intel, external attack‑surface data, and disclosures, dynamically updating risk scores for each third party. RPA with AI streamlines due‑diligence questionnaires, evidence review, and remediation tracking so procurement, risk, and security operate from a single, always‑current view.
Regulatory Cyber Compliance & Operational Resilience
Phoenix uses LLMs and agentic AI to translate complex regimes—DORA, NYDFS, PRA/FCA, MAS, SEC cyber rules—into actionable control maps and test plans. AI links policies, configs, and evidence to specific obligations, while RPA gathers artifacts and pre‑drafts regulator responses. CISOs and CTOs get real‑time compliance posture, fewer manual audits, and resilience programs that are demonstrably effective—not just documented