📊 Monthly Breach Intelligence Report

September 2026: AI Agents Became the #1 Attack Vector.
One unrotated default credential exposed 220 million records. 38 companies breached, 318M+ records stolen total.
→ See exactly how RuntimeAI would have stopped every one of these breaches Full Capability Stack ↓

Roshan Shaik, Founder & CEO October 1, 2026 126 incidents · 42 min read

In this briefing: Monthly Summary · What's New at RuntimeAI · Capability Spotlight · Full 126-Incident Catalog · Full Capability Stack

The RuntimeAI Monthly Briefing — September 2026 summary

📊 Monthly Summary September 2026

126 incidents · 22 critical · 102 high severity
38 enterprises breached (click to view incident): LimeLeads, ManchesterAirportsGroup, McKesson, Chess2026, AdaptHealth, BurgerKingRussia, Questel, Medela, Microsoft, Cisco, GitHub, Google, Meta, Apple, Bitget, Gemini, Okta, Nvidia, Azure, OpenAI, Anthropic, Frontier, HBO Max Reddit Account, Oracle, HuggingFace, Salesforce, GitLab, frontier, LiteLLM, Revolut, fidelity, AI Agents Autonomously, NIST, NSA, ChatGPT Flaw, DeepSeek Harness Flaw, CISA, ShinyHunters Claims Breach of ReliaQuest
318M+ records exposed across confirmed named breaches this month
AI involvement: 53 incidents — 3 where AI was the weapon, 52 where AI was the target
Attack vectors: AI Agent Exploit (39) · Credential Theft (27) · Zero-Day / Vulnerability (22) · Phishing / Social Engineering (10) · Data Exfiltration (10)
Security vendors present at breach (4) — click to explore: ESET, Okta, Cloudflare, Wiz
CVEs referenced (11) — click to see affected incident:
CVE-2026-76504, CVE-2026-86950, CVE-2026-35273, CVE-2026-48842, CVE-2026-76460, CVE-2026-1417, CVE-2026-42271 (Microsoft — Office/Teams), CVE-2026-59822 (Microsoft — Office/Teams), CVE-2026-48710 (Microsoft — Office/Teams), CVE-2026-0768 (Microsoft — Azure), CVE-2021-31886 (Microsoft — Office/Teams)
11 RCE vulnerabilities — click to view: Warning, Critical Bifrost AI Gateway Flaw Lets At, Orkes Conductor RCE Draws 7,000 Exploit , Oracle, AI Agents Autonomously, CISA, Claude SDK (Anthropic), MCP Server (Various), OpenAI API (OpenAI), Claude SDK (Anthropic), Cisco
How RuntimeAI Fixes These Gaps → See Full Capability Stack
- 🧽 Agent Identity Fabric — eliminates reusable credentials. Every agent gets a short-lived X.509 SPIFFE cert. Nothing to steal, nothing to reuse.
- 🔥 AI Firewall — inspects every token in and out. Prompt injection stripped at the model layer. Data exfiltration blocked in agent responses.
- 🧠 Agent Behavioral Intel + Fraud Shields — builds per-agent baselines from day one. Detects credential abuse, lateral movement, and sequence-level anomalies in real time.
- ⚙️ AI Control Plane + Kill Switch — enforces policy before execution, not after. One click quarantines any agent or entire fleet in under 100ms.
- 📋 AI Compliance Hub — generates SOC 2, FedRAMP, and EU AI Act evidence automatically from the governance layer. Every breach above would have had an immutable audit trail.

126

Incidents This Month

Enterprises Breached

318M+

Records Exposed

Vendors in Breach Stacks

AI as Weapon or Target

Critical Severity

CVEs Referenced

RCE Vulnerabilities

What's New at RuntimeAI

Enterprise Platform

Catalog-scoped group Kill Switch, with signed forensic export — stop every agent tied to one incident together, in one action, with a signed evidence package (credential inventory, optional in-flight prompt/completion capture) ready for the investigation.
Incident Explorer + "Run this test" — search real attack scenarios and launch a targeted assessment against a specific one, instead of waiting for the next scheduled scan.
Expanded autonomous-agent threat detection: collusion, memory poisoning, reasoning-trace forensics, evaluation-awareness — catches agents coordinating with each other, being fed poisoned memory, or behaving differently when they suspect they're being audited — each with its own dashboard view.

Agentic Enablement Platform

Memory Vault: write-time and semantic-similarity memory-poisoning detection — trust-weighted retrieval and forensic snapshot/rollback mean a poisoned memory doesn't quietly corrupt every downstream agent decision.
Commerce Rails: real top-up and purchase-order approval workflows — an agent-initiated spend request routes through a real, shared approval queue before money moves.
Contract Manager: clause-content leakage detection — flags sensitive contract language before it leaves the platform, combining pattern matching and LLM-based review.

RuntimeCRM

Events & Webinars — public registration pages + console management — run a real webinar program (registration, reminders, management) without a separate events tool.
Bookkeeping Agent: real Plaid Link, QuickBooks/Xero sync, tax export — actual reconciled books and cash-flow statements, not a mocked integration.
Ads Agent: real Google, Reddit, and LinkedIn Ads clients — manage campaign lifecycle and creative generation across all three platforms from one place.

Security & Platform Hardening

AI Coding Agent Defense extended to the network data plane (TLS-MITM + WASM sidecar) — consistent coding-agent threat detection whether the attack shows up in code, in a prompt, or on the wire.
MCP Gateway: deny-by-default escalation gate + manifest signature verification — a tool trying to spawn, delegate, or publish needs explicit allow — and a BYO tool's signature is verified before install.
RuntimeAI Meeting Companion — first macOS client — transcript capture and knowledge-base-grounded answers during a live meeting, with per-seat licensing.

Capability Spotlight

Kill Switch — Agent, MCP, NHI, Cloud & Catalog

“Most platforms have one kill switch, for one kind of thing. We built five, because an incident is never just one kind of thing.”

Why It Matters

September's single largest incident — 220M travel records exposed — traced back to a default service-account credential nobody rotated. The month's #1 attack-vector category overall was AI-agent exploits (39 of 126 incidents). Neither of those stops at the agent layer: a real incident touches an agent's identity, the MCP tools it calls, the non-human credential behind it, the cloud workload it's running on, and every other agent sharing its blast radius — all at once. A kill switch that only covers one of those is a kill switch that misses the other four.

How RuntimeAI Helps

RuntimeAI ships five purpose-built kill switches from one Kill Switch console: Agent Kill Switch halts a single compromised agent or an entire tenant's fleet in under 50ms. MCP Kill Switch severs all MCP server/tool/gateway connections instantly, independent of the agent layer. NHI Kill Switch applies tiered control to the non-human identity itself — L1 throttles to 10% of baseline, L2 suspends API access (credential stays valid, fully reversible), L3 revokes the credential at the vault outright. Cloud Kill Switch does the same tiering for the underlying workload — L1 rate-limit, L2 block egress, L3 full network isolation with IAM/RBAC revocation — across AWS, Azure, and GCP. Catalog Kill Switch stops every agent tied to one incident together, as a group, with a signed forensic export (credential inventory, optional in-flight prompt/completion capture) ready for the investigation. A single red “Kill Switch” button in the dashboard header opens all five as tabs in one place, with a typed confirmation step and 2FA gating for the blast-radius options — so firing one is fast, but never an accident.

The Five Kill Switch Types

Agent Kill Switch console — Agent Kill Switch — halt a single agent or an entire tenant fleet, with a visible kill-switch policy (second-approver rules) and live active-blockades feed.

MCP Kill Switch console — MCP Kill Switch — severs all MCP server/tool/gateway connections instantly, separate from the Agent Kill Switch, with the full 5-type nav group visible in the sidebar.

NHI Kill Switch console — NHI Kill Switch — tiered L1 (throttle) / L2 (suspend) / L3 (revoke) control over every non-human identity, shown live and reversible per-identity.

Cloud Kill Switch console — Cloud Kill Switch — the same L1/L2/L3 tiering applied to cloud workloads across AWS, GCP, and Azure.

Catalog Kill Switch console — Catalog Kill Switch — stop every agent tied to one incident together, as a group.

Confirmation & Quick-Fire

Kill Switch typed confirmation dialog — The typed confirmation dialog — target, reason, and consequences spelled out before anything fires. Nothing engages silently.

Kill Switch global quick-fire modal — The global quick-fire modal — all five kill switch types as tabs, one click away from the header, anywhere in the dashboard.

Illustrative Scenario

An agent's behavior drifts outside its normal pattern. Agent Kill Switch freezes it in under 50ms. The investigation finds it was invoked through a specific MCP tool — MCP Kill Switch severs that tool's gateway connections so nothing else can reach it while the review continues. The underlying service account gets throttled with NHI Kill Switch L1, then revoked at L3 once the credential is confirmed compromised. If three other agents touched the same catalog entry this incident came from, Catalog Kill Switch stops all of them together and exports the forensic package in one action. (Illustrative, not a specific customer engagement.)

See all five in one console — join the Oct 14 demo →

126 Incidents — September 2026

Click any incident to see the full analysis and RuntimeAI gap fix below. Left border colour = severity: ■ Critical ■ High ■ Medium

Incidents 1–42

Microsoft

Sep 30

Cisco

Sep 30CVE-2026-76504

Attackers Abuse ChatGPT Custom GPTs to Deliv…

Sep 30

Know Your Enemy

Sep 30

GitHub

Sep 30

Microsoft

Sep 30

Google

Sep 30

Russia's Star Blizzard Ditches ClickFix to W…

Sep 30

South Africa Seeks Help After Cyberattack Ta…

Sep 30

DIVD says Zammad zero-days enabled AI-driven…

Sep 30

GitHub

Sep 30

Cisco

Sep 30CVE-2026-76504

Bitget hacked via zero-day in third-party se…

Sep 30

Google

Sep 30

Valor, Atreides, and Sequoia back AI startup…

Sep 30

Hackers stole millions of US military person…

Sep 30

The Pattern

This month’s incidents demonstrate a consistent pattern across all sectors: AI is now both the attack vector and the target. Enterprises with mature security stacks were breached through gaps those stacks were never designed to cover.

The 126 incidents collected this month span 38 named organizations, 318M+ records exposed, and 4 distinct security vendors present at time of breach. The pattern is not one of vendor failure — it is one of category gap.

What Would Have Stopped This — Full Capability Stack

Not “better security.” Nineteen specific capabilities across three platforms. Each addresses a gap that no vendor in this month’s breach stacks was built to cover — because AI agents didn’t exist when those vendors were designed.

RuntimeAI — AI Governance & Control Plane Enterprise AI agent governance — identity, policy, firewall, detection, response, compliance.

🔍

Shadow AI Visibility

AI Discovery

incidents this month · 6%

“You can’t govern what you can’t see.”

Continuously scans cloud, IDE, endpoint, and network to inventory every AI agent — registered or rogue. Classifies and risk-scores shadow AI automatically. One-click to import into governance.

⚠️ The gap it fills Wiz and Orca scan cloud misconfiguration. They don’t discover AI agents installed by developers or injected via compromised vendors. Your unknown agents are your biggest risk.

Cloud scanner (AWS/Azure/GCP Lambda, Bedrock, SageMaker)
IDE scanner (VS Code, Cursor, MCP servers)
Endpoint scanner on developer laptops
Shadow AI Inbox with auto-severity classification
One-click shadow AI → governed agent pipeline

🧽

AI Agent PKI

Agent Identity Fabric

incidents this month · 36%

“No credential. No access. No breach.”

Provisions every AI agent with a SPIFFE/X.509 cryptographic identity. Short-lived certs, auto-rotating. TPM 2.0 hardware attestation. Agent DNS blocks unknown agents at the network layer.

⚠️ The gap it fills Okta and Azure AD were built for human identity. They have no concept of non-human agents operating at machine speed with no user present to respond to an MFA prompt.

SPIFFE X.509 SVID with RSA-2048, auto-rotating
TPM 2.0 hardware attestation + PCR drift detection
Zero-touch bootstrap for new agents
Agent DNS: NXDOMAIN for unknown agents
Blueprint-based permission inheritance

⚙️

Policy Engine

AI Control Plane

incidents this month · 55%

“Stop it before it executes. Not after.”

OPA/Rego policy engine with sub-1ms evaluation and fail-closed enforcement. Natural language to Rego compiler. Merkle-chain audit proves policies were never tampered with.

⚠️ The gap it fills Splunk and QRadar alert on what already happened — 73 days after the breach in the average case. The AI Control Plane enforces policy before the action executes, not after the damage is done.

OPA/Rego engine, sub-1ms, fail-closed
NL-to-Rego compiler: write policy in plain English
Merkle-chain tamper-evident audit trail
Multi-tenant RBAC + Separation of Duties
Cross-site policy cascade for distributed fleets

🔥

Bidirectional DLP

AI Firewall

incidents this month · 77%

“Inspect every token in, every token out.”

Bidirectional DLP scanning at <5ms latency. Prompt injection detected and stripped on input. PII, PHI, credentials caught on output. Behavioral risk score (0–100) triggers auto-suspend.

⚠️ The gap it fills Palo Alto NGFW and Zscaler see LLM traffic as an encrypted blob. They cannot inspect prompts, detect injection inside a conversation, or catch data leaking in an AI response.

Bidirectional DLP: input (prompt injection) + output (data leakage)
ML behavioral baselines per agent with adaptive thresholds
Risk score 0–100 triggers auto-suspend or rate-limit
No-code guardrail builder for business users
Data Proxy: field-level masking before agent sees data

🔗

MCP Gateway

AI Integration Fabric

incidents this month · 63%

“Every tool call. Governed.”

Multi-tenant governed gateway for all agent-to-tool communication. 500+ pre-built integrations. 3-level kill switch (agent / tool / platform-wide) propagating in <100ms. OWASP MCP03 sanitization on every call.

⚠️ The gap it fills No existing vendor governs at the MCP protocol layer. Raw MCP deployments have zero security, zero multi-tenancy, and zero audit trail. This is the fastest-growing unguarded attack surface in enterprise AI.

3-level kill switch: per-agent, per-tool, platform-wide — all <100ms
500+ pre-built integrations with auto-discovery
BYOM overlay: wrap existing MCPs without code changes
Circuit breaker + health monitoring per connection
Full OWASP MCP03 input/output sanitization + DLP

🧠

Anomaly Detection

Agent Behavioral Intel

incidents this month · 56%

“Catch drift before it becomes a breach.”

30-day rolling behavioral baselines per agent across frequency, pattern, volume, and temporal dimensions. LSTM sequence modeler detects multi-step attack chains. HRIS integration auto-suspends agents when their owner is terminated.

⚠️ The gap it fills CrowdStrike and SentinelOne detect known malware signatures for human endpoints. They have no baseline for an AI agent that begins exfiltrating data through an API it was legitimately authorized to call.

Rolling 30-day baseline: frequency, pattern, volume, temporal
LSTM sequence modeler for multi-step attack patterns
Composite risk score from 6 signals
HRIS integration: auto-suspend on employee termination (<30s)
Adaptive OPA thresholds by agent role + risk profile

🔴

Emergency Response

Kill Switch

incidents this month · 8%

“Stop any AI agent, anywhere, in under 100ms.”

Three graduated kill levels: per-agent, per-tool, platform-wide. All propagate via NATS JetStream in <100ms. Captures last 100 actions as forensic state. Quarantine mode preserves evidence for investigation.

⚠️ The gap it fills No competitor offers this. When an AI agent goes rogue — or when a breach is detected — you need a hard stop. Every second it keeps running is more data exfiltrated, more damage compounding.

L1/L2/L3 kill: per-agent, per-tool, platform — all <100ms via NATS
Forensic state capture: last 100 actions, memory snapshot, credentials
Quarantine mode: isolate for investigation, preserve evidence
Escalation chains: auto-response → SOC alert → human required → kill
Reprieve mechanism: 24-hour lease for controlled investigation post-kill

🚨

Incident Response

AI Respond

Universal

covers all incidents — audit + governance layer

“Autonomous incident response. AI-native.”

Five-phase automated playbook: DETECT → QUARANTINE → INVESTIGATE → REMEDIATE → VERIFY. Auto-classifies incidents (true positive / false positive / inconclusive). Blast radius containment automatically quarantines agents that interacted with compromised agent.

⚠️ The gap it fills Splunk SOAR and Palo Alto XSOAR orchestrate traditional security events. They cannot terminate an AI agent, rotate its credentials, update its behavioral model, or quarantine the agents it spoke with — because they were built before AI agents existed.

5-phase automated playbook from detection to verification
Auto-classification against 200+ known AI attack patterns
Blast radius containment: quarantine all interacting agents
True positive: terminate + revoke + rotate + update models
False positive feedback loop continuously improves detection

👥

Agent Lifecycle

AI Ops Center

Universal

covers all incidents — audit + governance layer

“Mission control for autonomous AI operations.”

65+ page operational dashboard. Access review campaigns. ‘The Reaper’ auto-decommissions agents when their human owner is terminated. Vault Broker injects credentials with 5-minute TTL — never stored in agent memory.

⚠️ The gap it fills ServiceNow manages human IT requests on ticket-based cycles. AI agents are deployed, modified, and compromised in minutes. You need lifecycle governance that operates at agent speed, not ticket speed.

Access review campaigns with auto-apply decisions
‘The Reaper’: HRIS webhook auto-revokes terminated employees’ agents (<30s)
Vault Broker: just-in-time 5-min TTL credential injection, never persisted
Per-tenant budget caps with 4-tier alerts (50/75/90/100%)
Unified health, credential lifecycle, budget, SLA dashboard

🌐

LLM Routing

LLM Broker

Universal

covers all incidents — audit + governance layer

“Route every LLM call to the right model, at the right cost, with automatic failover.”

Unified API routing LLM requests to the optimal provider based on cost, latency, and compliance. Semantic caching reduces redundant calls 15–30%. Automatic failover in <100ms. Budget enforcement with hard limits.

⚠️ The gap it fills Portkey does basic routing at $30K/year. It has no DLP scanning, no compliance-based routing (data residency), no semantic caching, and no budget enforcement. It routes traffic — it doesn’t govern it.

Multi-provider routing: OpenAI, Anthropic, Bedrock, Azure, GCP, custom
Cost/latency/compliance-based routing policies
Automatic failover <100ms; per-provider circuit breaker
Semantic caching: 0.80–0.95 similarity threshold, 15–30% cache hits
Budget enforcement per-agent + cost anomaly detection

🤖

MLOps

ML Intelligence Hub

incidents this month · 17%

“Model registry, feature store, edge inference — one platform.”

Formal model lifecycle (draft/staging/production/archived). Feature Store with online (<5ms) and offline serving. Hybrid scoring engine routes inference between edge (<1ms quantized) and cloud. Drift-triggered auto-retraining.

⚠️ The gap it fills MLflow + Feast + custom inference each solve one piece. ML Intelligence Hub is the piece nobody built: unified lifecycle + edge inference routing + drift-triggered retraining + 7-dimension cost attribution — all integrated.

Model Registry: versioning, rollback, lineage, lifecycle management
Hybrid Scoring: edge <1ms quantized vs cloud full-precision auto-routing
Feature Store: online <5ms + offline point-in-time with freshness monitoring
Drift Engine integration: auto-retraining on data/concept drift
7-dimension cost attribution: agent/model/team/customer/feature/time/provider

💰

FinOps

AI Cost Intelligence

Universal

covers all incidents — audit + governance layer

“A cost spike is a security signal. Treat it like one.”

7-dimension real-time cost attribution: agent, provider, model, team, customer, feature, time. Wasm token counter in-proxy at 50–100 microseconds. Budget hard limits stop agents before they overspend. Runaway agent detection.

⚠️ The gap it fills Kubecost knows GPU-hours. AI Cost Intelligence knows “Agent-47 spent $142 on Claude Sonnet for fraud detection on Tuesday.” Runaway cost is runaway behavior — and only one product treats them as the same signal.

Wasm token counter in proxy: 50–100 microsecond overhead
Live model pricing catalog: 200+ models, 15+ providers, updated every 15min
Budget hard limits: block requests when agent exhausts budget
Cost anomaly detection: ML-based spending spike alerts
Chargeback engine: per-customer invoices + per-team internal allocation

📋

Continuous Compliance

AI Compliance Hub

126

incidents this month · 100%

“Audit evidence as a byproduct of governance.”

Continuous compliance across 13+ frameworks — SOC 2, FedRAMP, ISO 27001/42001, EU AI Act, HIPAA, PCI-DSS, NIST AI RMF. Evidence auto-generated from RuntimeAI telemetry. Open Audit Marketplace connects enterprises with certified audit firms.

⚠️ The gap it fills Vanta collects attestations from cloud infrastructure. It has no understanding of AI agent behavior, no EU AI Act or ISO 42001 mappings, and no way to generate evidence from an AI governance layer — because none of its customers had one.

13+ frameworks: SOC 2, FedRAMP, ISO 27001/42001, EU AI Act, HIPAA, PCI-DSS, NIST AI RMF
Evidence auto-generated from platform telemetry (audit trails, Merkle chain, access reviews)
Gap tracking with SLA-based remediation assignment
Audit Marketplace: open to any qualified audit firm; time-limited scoped access
Blockchain-anchored compliance certificates with tamper-evidence verification

🏪

Agent Procurement

Agent Marketplace

incidents this month · 6%

“Only certified agents enter your environment.”

Three-sided platform: Builders publish, Enterprises deploy, Trust layer certifies. AAIC certification includes third-party behavioral audit. Risk scoring weights permission scope, data access, integration breadth, update frequency, and builder reputation.

⚠️ The gap it fills Your developers are installing AI agents from GitHub, npm, and PyPI with no security review. The AI agent supply chain attack surface is the same as software supply chain — and it’s moving five times faster.

6-step publishing wizard with compliance gating
AAIC certification: third-party behavioral audit by registered firms
Risk scoring: permission scope (30%), data access (25%), integration (20%), frequency (10%), reputation (10%)
Shadow AI Import: discover unmanaged agents and bring into governance
Stripe Connect billing: free/per-seat/per-action/outcome-based; 20% platform fee

Agentic Enablement Platform (AEP) Agentic-era security primitives — NHI identity, fraud detection, memory governance, agent commerce.

🔑

Non-Human Identity

NHI Security Platform

incidents this month · 28%

“Every non-human identity — issued, governed, and revoked with the same rigor as human identity.”

Centralized governance for every non-human identity: service accounts, API keys, OAuth tokens, machine certs, cloud IAM roles, AI agents. Bot-CA issues short-lived X.509 SPIFFE certs. O(1) hash-based revocation — not cascading policy lookups.

⚠️ The gap it fills Oasis Security ($190K/year) solves NHI credentialing but not for AI agents specifically. It lacks TPM hardware attestation, has no AI-agent behavioral monitoring, and doesn’t integrate with agent governance platforms.

Centralized NHI Registry: auto-discovery across AWS/Azure/GCP/on-prem
Credential posture: rotation schedules, expiry, over-privilege, unused credential detection
NHI Drift Detection: per-NHI behavioral baseline + scope creep detection
Bot-CA: short-lived X.509 certs (1–24hr TTL), auto-rotating, instant OCSP revocation
O(1) hash-based revocation: per-NHI, per-tenant, or global — no cascading policy lookup

🛡️

AI Fraud Detection

Fraud Shields

incidents this month · 31%

“Valid credential. Wrong behavior. Caught.”

Two-layer defense: Identity Fraud Shield models valid-credential-wrong-behavior (the hallmark of compromised AI credentials). Activity Fraud Shield detects multi-step attack sequences within authenticated sessions. Both integrate directly with Kill Switch for automatic response.

⚠️ The gap it fills Generic UEBA tools applied to AI agents generate massive false-positive rates because they were trained on human behavior. Fraud Shields are AI-native: LSTM sequence modeling of API chains, not user session patterns.

Per-agent behavioral baseline: frequency, resource access, API sequences, timing
Real-time deviation scoring against baseline (0–100)
LSTM sequence modeler: multi-step attack chain detection (recon→escalation→exfil)
Session-level anomaly: full context analysis, not individual events
Kill Switch integration: auto-suspension on high-confidence fraud with forensic package

🧠

Agent Memory Security

Memory Vault

incidents this month · 39%

“Control what your agents remember — and what they forget.”

Governs agent memory as a first-class security object. Policy-based filtering of sensitive content at write time. Memory poisoning attack detection. TTL-based automatic purge with audit trail. GDPR right-to-erasure support.

⚠️ The gap it fills No vendor addresses agent memory governance. AI agent memories accumulate without access controls, expiry policies, or audit trails. A memory poisoning attack can corrupt an agent’s behavior without touching a single API key.

Policy-based memory write filtering (PII, PHI, secrets blocked at write)
PII Shield integration: redact/block before persistence
Memory expiry + TTL: auto-purge with full audit trail
Memory poisoning prevention: adversarial injection detection
Retrieval authorization: every memory read policy-enforced and logged

💳

Agent Finance Controls

Commerce Rails

incidents this month · 8%

“Give AI agents a wallet — with guardrails.”

Financial infrastructure for agent-initiated transactions. Per-agent virtual cards with spend limits. Vendor registry (agents can only transact with allowlisted merchants). Approval gates for high-value transactions. Every transaction in immutable ledger.

⚠️ The gap it fills No financial controls exist for AI agents today. Agents authorized to make purchases can spend without limit, with any vendor, at any time. One prompt injection or runaway loop away from significant financial exposure.

Agent virtual cards: per-agent card numbers + CVVs, hard spend limits
Vendor registry: allowlisted merchants only, no ad-hoc transactions
Approval gates: high-value + out-of-policy → human approval before execution
Per-agent, per-transaction, per-vendor, per-period limits
Agent-to-agent settlement ledger: feeds into FinOps dashboards

PQData — Post-Quantum Security NIST-standardized post-quantum cryptography for secrets, signatures, and audit records.

🔒

Post-Quantum Cryptography

PQData Platform

incidents this month · 14%

“Quantum-safe by design — before quantum breaks classical crypto.”

Full post-quantum data security suite using NIST-standardized algorithms: ML-KEM-768 for encryption, ML-DSA-87 for signatures. QuantumVault for PQC-encrypted secrets. PQ Sign for long-validity quantum-safe audit records. Hybrid X25519 + ML-KEM-768 key exchange for TLS 1.3.

⚠️ The gap it fills Every classical encryption scheme used by CrowdStrike, Okta, and Palo Alto today is vulnerable to Shor’s algorithm on a sufficiently powerful quantum computer. “Harvest now, decrypt later” attacks are already underway. The clock is running.

QuantumVault: ML-KEM-768 PQC-encrypted secrets with full key lifecycle
PQ Sign: ML-DSA-87 (Dilithium) signatures for audit records + agent attestations
Hybrid key exchange: X25519 + ML-KEM-768 for TLS 1.3 — secure against both
PQ CryptoGuard: CBOM scanner identifies all classical crypto in use; quantum-readiness score
FedRAMP/CMMC/CNSA 2.0 compliance evidence from PQC infrastructure layer

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