YOUR BANK DEPLOYED AI.
NOBODY SECURED IT.
Your AI agents are initiating wires, accessing accounts, and spawning sub-agents — at machine speed, with no audit trail and no kill switch. BladeRun governs every one of those actions in real time.
Your security tools were built for a different era
No Identity. Your AI agents have no cryptographic identity. When an agent moves money or exfiltrates data, there is no signed record of which agent did it or which human authorized it.
No Audit Trail. You cannot reconstruct a breach. The logs capture the LLM response — not the full chain of prompts, tool calls, sub-agent spawns, and decisions in between.
No Kill Switch. If your SOC detects a rogue agent, your options are: manually revoke API keys across multiple systems (20-40 minutes), or shut down all AI infrastructure. Neither is acceptable.
AI as Assistant
ChatGPT answers questions. Employees copy-paste results. Risk: minor.
AI with Read Access
AI reads customer records, transaction history, contracts. Risk: data exfiltration.
AI with Tools and Authority
Agents initiate wires. Approve exceptions. Spawn sub-agents. Use payment rails.
Your bank is here. Your security tools were built for 2022.
THREE THINGS TO KNOW
Everything else is detail. For the initial conversation, these are the three capabilities that matter.
The Gateway
A reverse proxy that sits between your AI applications and any external LLM. Inspects every prompt and response. Blocks prompt injections. Redacts PII/NPI. Adds less than 5ms of latency.
The Kill Switch
Automated agent isolation triggered in milliseconds by behavioral anomaly scoring. Adversary average breakout time is 29 minutes. A rogue agent moves at machine speed. The Kill Switch does too.
Time Machine
An immutable forensic log of every AI agent action. Every prompt, every tool call, every sub-agent spawn — captured, signed, and replayable. This is what you show examiners.
THESE ATTACKS HAPPENED IN 2025
Real incidents. Real financial impact. BladeRun stops all of them.
| Attack | Technique | BladeRun Response | Impact |
|---|---|---|---|
| BYBIT — DPRK | AI-assisted transaction signing compromised via malicious JavaScript injection | Gateway intercepts manipulated payment instructions in real time | $1.46B |
| MALICIOUS MCP SERVER | Fake postmark-mcp server exfiltrated all outbound agent email traffic | MCP Server Registry blocks unregistered or hash-mismatched endpoints | BLOCKED |
| PROMPT INJECTION — PHISHING | Hidden instructions in phishing email hijacked bank AI triage system. Zero malware — only text. | Indirect injection classifier detects instruction-override content | BLOCKED |
| FANCY BEAR / LAMEHUG | Nation-state malware used LLM API to generate system enumeration commands from within compromised environment | Gateway intercepts recon prompt signatures and enumeration patterns | BLOCKED |
| AGENTIC PAYMENT FRAUD | Payment agent manipulated to initiate unauthorized wire transfers via compromised tool calls | Kill Switch + behavioral baseline detects out-of-pattern payment tool calls | BLOCKED |
| SHADOW AI / ROGUE AGENTS | Unauthorized AI agents operating outside governance with inherited service account permissions | Agent Identity Registry + cross-bank behavioral baselines detect deviations | BLOCKED |
BUILT FOR WHAT EXAMINERS WILL ASK
Every module maps to a regulation you must meet. Your examiners are already asking these questions.
SaaS or On-Prem
Both deliver the same detection capability. SaaS deploys in days. On-prem meets OCC and Fed constraints on data flow. Air-gapped option available for the most sensitive workloads.
One routing rule change. Visible results in 48 hours. No production risk.
<10ms Latency
Optimized inspection engine. 100K req/sec throughput. Your users won't notice.
Model Agnostic
OpenAI, Anthropic, AWS Bedrock, Azure OpenAI, Google Vertex, and self-hosted models.
We know how banks buy technology
VRA questionnaire support, architecture review board documentation, data flow diagrams, and pre-negotiated contract terms. We've done this before.
THE FEDERATION NETWORK
Attackers share techniques. Banks share nothing. The Federation changes that asymmetry. Privacy-preserving cross-bank AI threat intelligence — built on the FS-ISAC model.
Your Data Stays Local
No raw data — no prompts, no customer records, no transaction data — ever leaves your environment. Only encrypted, anonymized signal metadata is shared.
Signals Are Aggregated
Using federated learning, differential privacy, and secure multi-party computation, a neutral hub produces improved detection models without seeing raw data.
Everyone Benefits
A novel attack detected at one bank becomes a detection rule for every bank — within minutes. Industry benchmarks show 20–40% accuracy improvement over single-institution models.
THE SMALLEST POSSIBLE FIRST STEP
We know how banks buy technology. We're not asking for a commitment. We're asking for a conversation.
Technical Session
2 hours, no commitment. Your AI architecture lead and ours. We map your current AI agent footprint, identify uninspected traffic, and show you what a BladeRun deployment would look like. You take the output regardless.
Architecture Review Support
We provide full documentation for your VRA, Architecture Review Board, and Legal team. Technical architecture, data flow diagrams, and pre-negotiated contract terms. We've been through this process.
Pilot in One Workflow
Gateway deployed in one AI workflow — your choice. One routing rule change. Visible results in 48 hours: what was inspected, what was flagged, what would have been blocked. No production risk.
Design Partner Program
Direct access to founders — not an account team. Design partner pricing. Your threat model and compliance framework shape our roadmap. First seat in the Federation Network.
START WITH
A CONVERSATION.
A 2-hour technical session with your AI architecture team. We map every AI API call your bank is making today. No commitment. Just visibility.
One routing rule change. Visible results in 48 hours. No production risk.
REQUEST A TECHNICAL SESSION