Irregular Security, an Israeli cybersecurity company, says a series of cyberattacks involving AI agents from some of the world's leading model makers stemmed from an "error" and time pressures within the firm, according to its chief executive, Dan Lahav.
Irregular Security · AI agent cyberattacks
A series of AI agent attacks is traced to an internal "error" and time pressure
Dan Lahav, chief executive of the Israeli cybersecurity firm Irregular Security, says incidents involving AI agents from leading model makers stemmed from mistakes inside the company rather than an external breach.
How the account describes the chain of events
STEP 1
Time pressure
Firm-side constraints on speed of work.
→
STEP 2
Internal error
A mistake in how the work was carried out, per the CEO.
→
STEP 3
Attack incidents
A series of incidents involving AI agents.
What the account states
The incidents are attributed to internal mistakes, not an external breach.
Time constraints inside the firm are named as a contributing factor.
AI agents can take multistep actions and connect to external tools and data.
What remains unreported
The specific attacks, systems and companies affected.
The precise nature of the error.
Independent verification of cause, scope and remediation.
Whether regulators or model makers have opened formal reviews.
Why it matters
When agents reach into external tools and data, a single deployment or testing mistake can reach well beyond the model.
Accountability for security failures across the sector.
Rigorous testing before AI agents are deployed.
Transparency when things go wrong, including a fuller post-incident analysis.
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