
One Compromised Chatbot Can Expose Every Client Account
Chatbots reduce friction, but they can multiply risk across financial systems.
A bot works 24/7, handling requests instantly—but one breach can expose thousands of client records in minutes
45%
of financial cyberattacks leverage AI.

Why Minor AI Errors Turn into
Major Client Risks.
Financial institutions often protect core banking platforms, APIs and web apps.
Chatbots don’t fit neatly into any of these traditional categories.
A single compromise can:
Leak client data
Trigger regulatory exposure
Slow operations during incident response
Damage client trust
1.Leak client data
Why Traditional Security Misses AI Risk
AI-facing systems require a different security mindset.
Most security programs weren’t designed for conversational bots or generative AI.
The result:
Even well-run teams can miss subtle indicators of compromise until it’s too late.
How Financial Leaders Secure AI Without Disrupting Service
The root cause isn’t the AI itself—it’s missing guardrails. Top financial institutions treat AI as regulated digital entities, not convenience features
Our Key Controls for AI Security:
Segregate Critical Systems
Control bot access through SD-WAN, API security, and gateways to prevent direct exposure to core banking or client account systems.
Manage Bot Identities
Use Conditional Access, Identity Governance, PAM, and tokenization to prevent over-privileged credentials.
Detect Abnormal Behavior
Leverage XDR, SIEM/SOC monitoring, and endpoint/cloud threat protection for early visibility.
Recover, Comply, and Maintain Oversight
Immutable backups, resilient recovery, audit-ready reporting, and 24/7 monitoring ensure fast restoration and prevent client impact.
Build In-House or Partner for AI Security?
Build In-House
Handling AI security in-house can be risky:
- • Teams may lack AI-specific threat expertise.
- • Responsibilities are scattered across IT, security, legal, and data teams.
- • Detecting subtle anomalies or breaches can take hours—or longer.
- • Maintaining 24/7 coverage and compliance is resource-intensive.
Build In-House
Handling AI security in-house can be risky:
- • Teams may lack AI-specific threat expertise.
- • Responsibilities are scattered across IT, security, legal, and data teams.
- • Detecting subtle anomalies or breaches can take hours—or longer.
- • Maintaining 24/7 coverage and compliance is resource-intensive.
Why Specialized Security Teams
Make the Difference
A focused partner ensures your AI systems are monitored, controlled, and compliant—without overloading internal staff:
- • Continuous monitoring across bots, APIs, and endpoints.
- • Proven risk frameworks to detect and contain AI-driven threats.
- • Rapid incident response before client accounts are impacted.
- • Regulatory alignment with audit-ready reporting, even as rules evolve.
Why Financial CXOs Rely on Us
- We begin by understanding the risks your AI systems introduce, then apply proven controls to prevent client-impacting incidents.
Our experts help financial institutions:
1
Identify hidden exposure paths in AI interactions
Protect your AI interfaces before they become your biggest liability
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