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Re: AI slops from Eve
oss-security commenter argues AI models remain human-built algorithms while reflecting on recent AI-slop incidents in open-source
A reply posted on the oss-security mailing list reflects on recent AI-generated slop incidents, arguing that AI models are still human-developed algorithms running on human-built hardware. The post is personal commentary and contains no CVEs, advisories, or concrete incidents.
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HiddenLayer nabs $100M as enterprises rush to secure their AI deployments
AI security startup HiddenLayer raised a $100 million Series B led by Delta-v Capital as enterprise spending on securing AI deployments accelerates.
HiddenLayer, which protects AI models, agents, and workflows from adversarial attacks, vulnerabilities, and code injections, raised a $100 million Series B led by Delta-v Capital with participation from Ten Eleven Ventures, Morgan Stanley, Microsoft's M12, and Booz Allen Hamilton. The company says annual recurring revenue grew more than 10x to the tens of millions of dollars, with customers including the Department of Defense, the intelligence community, and a frontier model provider with over 700 million weekly users. Gartner estimates enterprise spending on AI security products will reach $2.83 billion in 2026, up 83% from 2025, and nearly $4.78 billion next year.
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The Collective Cyber Defense letter wrote your next vendor questionnaire
Op-ed argues the 200-company Collective Cyber Defense letter's three endorsed metrics should become standard vendor procurement questions.
More than 200 companies including Microsoft, Google, AWS, CrowdStrike, Anthropic and Okta signed an August 27 open letter calling for faster cyber defenses against AI-enabled attacks. The letter endorses three measurable metrics: coverage, containment speed, and verified remediation. The author turns those into five concrete procurement questions buyers should pose at vendor renewals, while noting the letter contains no deadlines, dollar figures or measurable targets.
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What Fal.Con 2026 Reinforced: AI Makes Proving Exposure More Important Than Ever
Horizon3's Fal.Con 2026 recap argues AI-accelerated vulnerability discovery makes continuous attacker-based exposure validation essential for defenders.
In a Fal.Con 2026 recap, Horizon3 argues that AI is compressing the time between vulnerability discovery and exploitation, making attacker-derived evidence about real exploitability the key prioritization signal. Horizon3 announced it joined CrowdStrike's Project QuiltWorks, with NodeZero exploitability intelligence flowing into Falcon Next-Gen SIEM and Falcon Fusion SOAR workflows able to trigger NodeZero 1-Click Verify for remediation testing. The company reported running over 1,200 NodeZero demos during the show, and CrowdStrike CEO George Kurtz's keynote framed AI red teaming and offense-informing-defense as central themes.
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Proofpoint Expands AI-Powered Investigations to Microsoft 365 and Deepens Insider Risk Visibility into AI Activity
Proofpoint expands AI-powered investigations into Microsoft 365 and adds AI interaction visibility to insider risk investigations.
Proofpoint announced that Prism Investigator will connect directly to Microsoft 365 email, Teams, and files without requiring archived content, expected in Q4 2026. Human Communications Intelligence agents will incorporate AI communications governance signals, capturing interactions with copilots and AI agents, into Insider Threat Management. The vendor positions these as part of a unified platform for data security, insider risk, and communications governance.
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What do CISOs need to rest easy about future AI risks?
IANS survey of 113 CISOs finds optimism about managing future AI security risks hinges more on organizational readiness and leadership support than current controls.
An IANS AI Security Survey of 113 CISOs fielded in April and May found 41% optimistic and 38% pessimistic about their organization's ability to manage AI security risks over the next 24 months. Six organizational signals—leadership understanding of AI risk, defined governance ownership, security team effectiveness with AI tools, CISO ownership of the AI-security budget, sustainable workloads, and staffing—separate confident CISOs from pessimistic ones. Interviewed analysts cautioned that these readiness signals measure self-assessed confidence rather than actual security, and recommended hands-on AI use by security teams plus governance of third-party models.
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