140 Incidents — May 2026
Click any incident to see the full analysis and RuntimeAI gap fix below. Left border colour = severity: ■ Critical ■ High ■ Medium
Incidents 1–47
1
Google
May 30
2
AtlasMenu
64K+May 30
3
OpenAI
May 29
4
Attackers Use LLM Agent for Post-Exploitatio…
May 29CVE-2026-39987
5
New Russia-Linked GREYVIBE Targets Ukraine w…
May 29
6
What 2,000 Exposed Vibe-Coded Apps Reveal Ab…
May 29
7
Malicious Sicoob NuGet Steals Banking Creden…
May 29
8
'The Com' Cyberattacks Support Violence &…
May 29
9
CISA
May 29
10
Charter
42M+May 29
11
MokN Raises $15 Million for Phish-Back Platf…
May 29
12
Gogs
May 29RCE
13
OpenAI
May 29
14
Google
May 29
15
Charter
49M+May 29
16
Box
May 29
17
Carnival
May 29
18
AI Threats, Data Breaches, and Supply Chain …
May 29
19
Gemini
May 28
20
npm Supply Chain
May 28
21
JFrog Research
May 28
22
GitHub
May 28
23
Cisco
May 28
24
Carnival Corporation
May 28
25
Charter Communications
42M+May 28
26
Omdia Research
May 28
27
Microsoft
May 28
28
Verizon DBIR 2026
May 28
29
Fortinet
May 28
30
Microsoft
May 28
31
box
May 28
32
As Global Powers Explore Humanoid Robots, Cy…
May 28
33
Agentic AI Isn't Risky; the Way Orgs Deploy …
May 28
34
Focus on Cyber Insurance
May 28
35
Nordic CISOs Handle Rising Cyber Threats Rem…
May 28
36
Gemini
May 28
37
Geordie Raises $30 Million for AI Security a…
May 28
38
Anthropic
May 28
39
Gemini
May 28
40
BTMOB Android malware service generates cust…
May 28
41
Hackers exploit FortiClient EMS flaw to push…
May 28CVE-2026-35616
42
AI Software Supply Chain Threats Escalate in…
May 28
43
Browser Threats Expand Across Enterprise Net…
May 28
44
Ransomware Negotiations Mirror Aggressive Sa…
May 28
45
Charter
5M+May 28
46
Kemper
269K+May 28
47
GitHub
May 27
Incidents 48–94
48
5 Steps to Managing Shadow AI Tools Without …
May 27
49
Google
May 27
50
Gitea
May 27CVE-2026-27771
51
FBI
May 27
52
Latin American Cybercriminals Hoover Up Gove…
58M+May 27
53
Mytheresa
84K+May 27
54
MFA Prompt Bombing
May 26
55
CERT-In Recommends 12-Hour Patching for Inte…
May 26
56
Iranian Hackers Deploy MiniFast and MiniJunk…
May 26
57
KnowledgeDeliver LMS Flaw Exploited to Deplo…
May 26CVE-2026-5426
58
GitHub
May 26
59
Ameriprise
503K+May 26
60
⚡ Weekly Recap
May 25
61
Lazarus Deploys RemotePE Memory-Only RAT Aga…
May 25
62
TrapDoor Supply Chain Attack Spreads Credent…
May 25
63
7-Eleven
185K+May 24
64
GitHub
May 23
65
GitHub
May 23
66
Anthropic
May 23
67
Laravel
May 23
68
First VPN Dismantled in Global Takedown Over…
May 22
69
Ghostwriter Targets Ukraine Government Entit…
May 22
70
GitHub
May 22
71
Verizon
May 22
72
TanStack
May 21
73
GitHub
May 21
74
Grafana
May 21
75
CISA
May 21
76
OpenClaw
May 21
77
SonicWall
May 21
78
LatAm Threat Actors
May 21
79
Enterprise AI Agents
May 21
80
Microsoft
May 21
81
Verizon DBIR 2026
May 21
82
ThreatsDay Bulletin
May 21
83
When Identity is the Attack Path
May 21
84
AI Agents Are Shifting Identity Security Bud…
May 21
85
Dragonica
126K+May 21
86
Windows93
46K+May 21
87
GitHub
May 20
88
Processes & Culture Top Reasons Behind D…
May 20
89
Verizon
May 19
90
Windows Zero-Day Barrage Continues After Pat…
May 19
91
GitHub
May 19
92
CTT
468K+May 19
93
Microsoft
May 18CVE-2026-42897
94
'Claw Chain' Vulnerabilities Threaten OpenCl…
May 18
Incidents 95–140
95
Fuel Tank Breaches Expand Scope of Iran's Cy…
May 18
96
The Boring Stuff Is Dangerous Now
May 18
97
ADDI
35M+May 18
98
Zara
May 14
99
TrustFall Convention
May 14RCE
100
The Gentlemen RaaS
May 14
101
Claude Code MCP
May 14
102
OpenLoop Health
May 14
103
NVIDIA NemoClaw
May 14
104
Foxconn
May 14
105
Identity-Security Teams
May 14
106
Hugging Face
May 14
107
FinServ
May 14
108
Abrigo
711K+May 14
109
CanadaLife
238K+May 13
110
CushmanWakefield
310K+May 12
111
Zara
197K+May 08
112
Palo Alto Networks PAN-OS
May 07RCE
113
Canvas / Instructure
275M+May 07
114
Windows Defender Zero-Day CVE-2026-33825
May 07CVE-2026-33825+1
115
Gemini CLI
May 07RCE
116
Enterprise AI Agent Inventory Gap
May 07
117
1 Million+ Exposed AI Endpoints
May 07
118
LiteLLM
May 07
119
AI Agents Expanding Identity Attack Paths
May 07
120
DPRK AI-Generated npm Malware
May 07
121
DAEMON Tools Supply Chain Attack
May 07
122
MuddyWater (Iran)
May 07
123
Backup Destruction as Primary Ransomware Tac…
May 07
124
WatchGuard Firebox
May 07
125
Woflow
448K+May 07
126
LegionProxy
10K+May 06
127
Vimeo
119K+May 05
128
RebornGaming
126May 04
129
MarcusMillichap
2M+May 03
130
SAP npm Packages
May 02
131
ClickUp
May 02
132
Microsoft SharePoint
May 02CVE-2026-32201RCE
133
Medtronic
May 02
134
ADT
55M+May 02
135
Itron
May 02
136
Roblox
May 02
137
Comcast
30M+May 02
138
Amtrak
May 02
139
ZenBusiness
5M+May 02
140
Aman
216K+May 01
CVE & RCE
CVEs (8)
CVE-2026-39987Attackers Use LLM Agent for Po…
CVE-2026-35616Hackers exploit FortiClient EM…
CVE-2026-27771Gitea
CVE-2026-5426KnowledgeDeliver LMS Flaw Expl…
CVE-2026-42897Microsoft
CVE-2026-33825Windows Defender Zero-Day CVE-
CVE-2026-32202Windows Defender Zero-Day CVE-
CVE-2026-32201Microsoft SharePoint
RCE (5)
RCEGogsMay 29
RCETrustFall ConventionMay 14
RCEPalo Alto Networks PAN-OSMay 07
RCEGemini CLIMay 07
RCEMicrosoft SharePointMay 02
Stack & Vendors
Vendors (6) — click to see breach
FortinetNGFW
1×Fortinet
CrowdStrikeEDR
1×Google
Palo Alto NetworksNGFW
1×Palo Alto Networks PAN-O
Microsoft DefenderEDR
1×Windows Defender Zero-Da
WizCSPM
1×SAP npm Packages
OktaIAM
1×ADT
Perimeter Categories
NGFW 2EDR 2CSPM 1IAM 1
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 140 incidents collected this month span 54 named organizations, 601M+ records exposed, and 6 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
24
incidents this month · 17%
“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
66
incidents this month · 47%
“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
81
incidents this month · 58%
“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
94
incidents this month · 67%
“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
61
incidents this month · 44%
“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
56
incidents this month · 40%
“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
9
incidents this month · 6%
“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
1
incidents this month · 1%
“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
24
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
140
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
24
incidents this month · 17%
“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
55
incidents this month · 39%
“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
23
incidents this month · 16%
“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
40
incidents this month · 29%
“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
9
incidents this month · 6%
“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
42
incidents this month · 30%
“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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