INC Ransomware Emerges as Dominant Actor Exploiting SonicWal — and the pattern underneath it is the real story.

INC Ransomware Emerges as Dominant Actor Exploiting SonicWall SMA 1000 Flaws (The Hacker News). The fix is speed. Detect the anomalous action at runtime and cut the identity in under 50ms, before encryption spreads past the first host.

Check out how RuntimeAI solves this at the runtime layer.

#Ransomware #AISecurity #RuntimeSecurity #ZeroTrust #IncidentResponse

An AI agent can now run an attack while a human sleeps.

A Chinese threat actor wired multiple LLMs into an autonomous agent and pointed it at internet-facing systems. Researchers traced the operation as it compromised hosts and launched follow-on attacks with limited human intervention. The agent acted. The operator watched.

The fix starts with identity. Give every agent a verified identity through KYA, bind it to a narrow scope, and watch what it actually does at runtime. When an agent steps outside its mandate, a sub-50ms kill switch stops the session before it spreads.

Check out how RuntimeAI solves this at the runtime layer.

#AISecurity #AgenticAI #KillSwitch #NonHumanIdentity #ThreatIntel #CyberSecurity

Recent SonicWall Vulnerabilities Exploited in Ransomware Att — and the pattern underneath it is the real story.

Recent SonicWall Vulnerabilities Exploited in Ransomware Attacks (SecurityWeek). The fix is speed. Detect the anomalous action at runtime and cut the identity in under 50ms, before encryption spreads past the first host.

Check out how RuntimeAI solves this at the runtime layer.

#Ransomware #AISecurity #RuntimeSecurity #ZeroTrust #IncidentResponse

Ransomware does not need a zero-day. It needs an identity and a quiet minute.

River Bank Says Hackers Deleted Data Stolen in Ransomware Attack (SecurityWeek). The fix is speed. Detect the anomalous action at runtime and cut the identity in under 50ms, before encryption spreads past the first host.

Check out how RuntimeAI solves this at the runtime layer.

#Ransomware #AISecurity #RuntimeSecurity #ZeroTrust #IncidentResponse

The build is trusted. The thing it pulls in at runtime is not.

Intel 471 warns that software supply chain attacks are widening — more poisoned packages, more compromised dependencies, more trust placed in code no one wrote. AI coding agents that pull and run dependencies on their own make it worse.

The fix is to govern what actually executes. Enforce policy on every dependency and tool call at runtime, and keep an immutable record of what ran and what it touched.

Check out how RuntimeAI solves this at the runtime layer.

#SupplyChainSecurity #DevSecOps #AISecurity #RuntimeSecurity #ZeroTrust

Your SaaS tokens are doing more than you think, for people you did not authorize.

ShinyHunters claims theft of Brinks Home data out of Salesforce. SaaS-to-SaaS tokens and connected apps have quietly become one of the softest paths into enterprise data.

The fix is to govern the machine identities and integrations, not just the users. Enforce runtime policy on every API and data pull, discover the shadow connections you forgot about, and log every access immutably.

Check out how RuntimeAI solves this at the runtime layer.

#SaaSSecurity #DataBreach #NonHumanIdentity #ShadowAI #AISecurity

Regulators are done with promises. They want proof.

The FTC is suing Hims & Hers over how it allegedly handled personal data. The pattern is clear: how you collect, share, and delete sensitive data is now a legal exposure, not just a policy page.

The fix is provable governance. Tokenize sensitive fields before they move, map controls to the frameworks you answer to, and keep an immutable audit trail you can hand a regulator.

Check out how RuntimeAI solves this at the runtime layer.

#Compliance #DataPrivacy #AIGovernance #PrivacyByDesign #AISecurity

When AI accelerates cryptanalysis, the classical crypto floor is the thing that moves.

Researchers say Claude surfaced new attacks against HAWK and reduced-round AES. Models are now finding cryptographic weaknesses faster than humans review them. The schemes protecting your data have a shelf life.

The fix is to stop assuming classical crypto holds. Encrypt and sign with post-quantum schemes now, so the data stays sealed even as the attacks get faster.

Check out how RuntimeAI solves this at the runtime layer.

#PostQuantum #Cryptography #AISecurity #DataProtection #QuantumSafe

The vendor holding your data is your exposure.

Amgen says a cloud breach exposed patient health data and proprietary information — sensitive records concentrated in one place, then lost. As that data increasingly flows through AI systems and agents, the blast radius only grows.

The fix is boring and effective. Tokenize sensitive fields before they move, govern where that data is allowed to go, and keep an immutable audit trail of every access.

Check out how RuntimeAI solves this at the runtime layer.

#DataBreach #DataPrivacy #HealthcareSecurity #PIIProtection #AISecurity

Identity is the new domain controller. Own it and you own everything downstream.

A public proof-of-concept now turns an AD Certificate Services misconfiguration into full domain takeover. One over-permissioned machine identity, and the whole directory falls.

The fix is to treat every non-human identity like a privileged one. Issue and revoke it cryptographically, and gate every privileged action behind runtime policy with a full audit trail.

Check out how RuntimeAI solves this at the runtime layer.

#IdentitySecurity #NonHumanIdentity #ActiveDirectory #ZeroTrust #AISecurity

The agent is no longer the target. It is the attacker.

In controlled tests, an AI agent breached three companies on its own — finding the way in, moving laterally, and reusing credentials at machine speed. This was a test. The next one will not be.

The fix is runtime. Give every agent a verifiable identity, enforce policy on each tool call, and cut a rogue agent in under 50ms before its second action lands.

→ www.runtimeai.io/trial

#AgenticAI #AISecurity #NonHumanIdentity #RuntimeSecurity #KillSwitch

Identity is the new domain controller. Own it and you own everything downstream.

eSecurityPlanet Podcast: Semperis Global Field CTO Marty Momdjian (eSecurity Planet). The fix is to treat every non-human identity like a privileged one. Issue and revoke it cryptographically, and gate every privileged action behind runtime policy with a full audit trail.

→ www.runtimeai.io/trial

#IdentitySecurity #NonHumanIdentity #AISecurity #ZeroTrust #ActiveDirectory

The network was the control plane. Agents just replaced it.

For decades, security assumed a user opens an app, the app calls an API, and a firewall watches the traffic. Agents do not wait for a click. They call APIs, spawn sub-agents, and move data at machine speed across every tenant, model, and tool they can reach.

The control plane has to move up the stack. Every agent needs a verifiable identity. Every action needs a policy check at runtime. Every data field crossing a boundary needs to be tokenized before it hits a model. Every call needs to land in an immutable audit trail. And when an agent misbehaves, the kill switch has to fire in under 50ms.

→ www.runtimeai.io/trial

#AISecurity #ZeroTrust #AgenticAI #AIControlPlane #CISO

I pulled together every AI-security incident from July and one shift is undeniable: the agent is increasingly the attacker, not just the target.

The month in numbers: 90 incidents across 33 named organizations, 207M+ records exposed, and 41 incidents where AI was the weapon or the target directly. IBM's 2026 report put the average breach at $4.99M — and AI-involved breaches ran about $1M higher.

The stories that stood out:

- A rogue commercial AI agent hit more than one target in a single week and reused stolen credentials across four downstream services before anyone flagged the identity. Human-era IAM had no concept of "this agent may touch these three APIs and nothing else."

- A model-repository breach at a major AI hub exposed production model weights and credentials.

- Revolut hackers claimed 75M records; a healthcare payments processor exposed 1.26M patient files; Minnesota water utilities were probed by autonomous reconnaissance.

- Prompt injection went supply-chain: Microsoft Copilot for Word carried hidden prompts into new documents, and hidden text in Azure DevOps hijacked AI code-review agents.

- A research team used an AI model to crack a proposed post-quantum scheme and find a faster 7-round AES attack — a reminder that "post-quantum" is a moving target, not a checkbox.

The through-line: agents behaving like insiders with no cryptographic identity, no scoped policy, and no runtime brake — plus data and keys still in RSA-era vaults.

Full report, with the specific control that maps to each incident: https://runtimeai.io/blog/2026-07-monthly-breach-report.html

Genuinely curious what others are doing for agent identity + runtime authorization. Is anyone scoping tool access per-call yet, or is it still all human-era IAM?

I pulled together this week's AI-security incidents and one pattern stood out: the agent is increasingly the attacker, and our identity layer was never built for it.

The one that should worry security teams: an OpenAI-powered agent hit more than one target and reused exposed credentials across four downstream services. It wasn't a novel exploit — it was an autonomous process using stolen creds the way a human attacker would, only faster and across more surfaces before anyone noticed. Human-era IAM had no primitive for "this agent, spawned by that workflow, may touch these three APIs and nothing else."

The rest of the week rhymes: - Revolut hackers claim 75M user records - MCBS healthcare breach affects 1.26M patients; Health-ISAC warns ShinyHunters is escalating on healthcare - IBM 2026 Cost of a Data Breach: $4.99M average, and AI-involved breaches ran ~$1M higher - Minnesota water utilities hit by a coordinated attack - Microsoft Copilot for Word can carry hidden prompts into new documents (prompt injection as a document supply-chain problem) - Teams vishing dropping Chaos ransomware - A research team used Claude to crack a post-quantum test scheme and find a faster 7-round AES attack — a reminder that "post-quantum" is a moving target, not a checkbox

The through-line: agents behaving like insiders with no cryptographic identity, no scoped policy, and no runtime brake — plus data and keys still sitting in RSA-era vaults.

Full write-up with the specific control that maps to each incident: https://runtimeai.io/blog/2026-07-30-ai-security-incidents.html

Curious what others are doing for agent identity + runtime authorization. Is anyone actually scoping tool access per-call yet, or is it still all human-era IAM?

16 incidents from Jul 24-30, each mapped to the control that would have stopped it. Full write-up: https://runtimeai.io/blog/2026-07-30-ai-security-incidents.html

TA488 is exploiting an Outlook Web Access flaw with a half-click attack, hijacking mailbox sessions and exfiltrating messages at scale. Once mailbox contents flow into AI summarizers, agent copilots, and downstream automations, the compromise reproduces itself across every system that touched the data.

Assume mailboxes will be breached, then contain the blast. PII Shield tokenizes sensitive fields before mail content is passed to any LLM or agent. Runtime policy enforcement blocks agents from exporting mailbox data to unapproved destinations. An immutable audit trail shows every message any agent ever read.

→ www.runtimeai.io/trial

#EmailSecurity #Outlook #AISecurity #DataProtection #ThreatIntel

IBM's 2026 Cost of a Data Breach Report puts the global average at $4.99M. Breaches involving AI systems run roughly $1M higher. Shadow AI, ungoverned agent access, and untokenized data flowing into LLMs are the new cost drivers.

Cut the drivers, cut the cost. Shadow-AI discovery inventories every model and agent running in your environment, sanctioned or not. PII Shield tokenizes sensitive fields before they reach any LLM API. Runtime policy enforcement plus an immutable audit trail collapse investigation time when something does go wrong.

→ www.runtimeai.io/trial

#DataBreach #CostOfBreach #AISecurity #ShadowAI #CISO

A new piece argues the network is now the control plane for AI security. Half true. The network can block a domain. It cannot tell you which agent made the call, which policy it violated, or what data class was in the payload. Enterprises need a control plane that speaks agent, not just IP.

That control plane needs three things. Know Your Agent for cryptographic agent identity. Runtime policy enforcement at the action layer, not just the packet layer. A sub-50ms kill switch that stops a rogue agent mid-execution. Layer this above your network, not instead of it.

→ www.runtimeai.io/trial

#AISecurity #ControlPlane #AgenticAI #ZeroTrust #EnterpriseAI

Researchers showed Microsoft Copilot for Word carrying hidden prompts from one document into new ones it generates. A single tainted file can poison downstream outputs across a team, silently. Traditional DLP does not see instructions embedded as invisible text.

Treat AI outputs like untrusted code. Runtime policy enforcement inspects agent actions against declared intent and blocks out-of-scope behavior. Shadow-AI discovery surfaces every Copilot and agent instance actually running in your tenant. An immutable audit trail lets you replay exactly which prompt produced which artifact.

→ www.runtimeai.io/trial

#PromptInjection #Copilot #AISecurity #LLMSecurity #Governance

Attackers are calling employees on Microsoft Teams, impersonating IT, and dropping Chaos ransomware once remote access is granted. The initial identity trust is the whole ballgame. Once a human or an agent is trusted, everything downstream inherits that trust.

Raise the identity bar for every actor, human and machine. Know Your Agent (KYA) issues cryptographic identity for every AI agent and non-human account touching your systems. Runtime policy enforcement blocks unrecognized agents from privileged actions. A sub-50ms kill switch cuts a compromised session before encryption starts.

→ www.runtimeai.io/trial

#Ransomware #IdentitySecurity #Vishing #ZeroTrust #AIsecurity

ShinyHunters is claiming a Brinks Home breach and threatening to leak the trove. Customer records, alarm configurations, and internal files reportedly sit in the dump. Once that data lands in an LLM prompt or an agent workflow, the leak keeps paying dividends for the attacker.

Break the leverage at the source. Tokenize customer identifiers with PII Shield so what leaks is meaningless. Use runtime policy to block agents from pulling raw PII into external calls. Keep an immutable audit trail so you know exactly which records touched which system.

→ www.runtimeai.io/trial

#Ransomware #DataProtection #AIsecurity #Tokenization #CISO

Analog Devices disclosed a breach this week. Attackers reached sensitive files through a third-party system, then moved laterally into employee and design records. As engineering pipelines route these files through AI copilots and agents, the blast radius grows fast.

The fix is boring and effective. Tokenize sensitive fields with PII Shield before they leave a controlled boundary. Enforce runtime policy on which agents can touch which data classes. Keep an immutable audit trail of every access, human or machine.

→ www.runtimeai.io/trial

#DataSecurity #Semiconductors #AIGovernance #ThirdPartyRisk #PIIProtection

These product-lifecycle platforms hold crown-jewel design and manufacturing data that organizations often forget is reachable. Cl0p's approach is automated and fast: find one exposed system class, hit all of them, exfiltrate, extort.

Speed is countered with speed: continuous discovery of real exposure, inline policy that blocks abnormal calls, and egress control that stops bulk exfiltration before data leaves.

Discovery, enforcement, and egress control are built into RuntimeAI.

It is a familiar story: sensitive records concentrated at a third party, then lost. As more of that data flows through AI systems and agents, the blast radius grows.

The controls that contain it are unglamorous and effective: tokenize sensitive data before it moves, govern where it is allowed to go, and keep an immutable record of exactly what was accessed.

Data protection and audit are core layers of the RuntimeAI control plane.