Search: “Agentic AI Summit”

Ex-Deepmind VP Vinyals says AI self-improvement is coming but won't trigger an intelligence explosion

Ex-DeepMind research VP Oriol Vinyals says recursive self-improvement is coming but slow, and co-founds Discovery Loop with Jeff Dean to automate research.

Oriol Vinyals, former VP of Research at Google DeepMind who worked on AlphaStar, AlphaCode, and Gemini, argued at Agentic AI Summit 2026 that recursive self-improvement will progress gradually without an intelligence explosion. He identifies idea generation ('research taste') and evaluation as the two biggest bottlenecks, noting benchmarks like SWE-Bench Pro and ML-Bench mostly test the already-working steps and suffer from overfitting and scheming. He is co-founding Discovery Loop with Jeff Dean as CEO, Sanjay Ghemawat, and Quoc Le to automate the full research cycle, starting with AI research.

The Decoder·Sep 11, 17:57 UTC · 5d agoAI industry1

Introducing the CyberAgents Exchange AI Inspector: Rigorous review for community-built AI

Tenable and OpenAI launch the CyberAgents Exchange AI Inspector to security-review community-submitted AI agents, MCP servers, and skills using GPT Cyber models.

Tenable and OpenAI announced the CyberAgents Exchange AI Inspector, unveiled at OpenAI's "Intelligence at Work: Cyber Summit," to vet community-submitted AI agents, skills, MCP servers, and multi-agent playbooks in the CyberAgents Exchange registry. The process combines Tenable One AI Exposure scanning, OpenAI GPT Cyber model assessment, and human review, with reviews anchored to specific Git commits. The registry launched in August and hosts over 100 AI listings; the Inspector is expected to be available in September and has already detected prompt injection implemented via invisible Unicode tag characters in a SKILL.md file.

Tenable Blog·Sep 9, 13:00 UTC · 7d agoTools

Kiteworks Acquires Bonfy.AI to Fill the AI Gap in Data Governance

Kiteworks acquired AI data-security firm Bonfy.AI, reportedly for tens of millions of dollars, to add inline AI-era data governance.

Kiteworks announced the acquisition of Bonfy.AI, an AI-native content-security platform that classifies sensitive data in real time as it moves across email, file sharing, SaaS apps, and AI agents. The deal, estimated by CTech at tens of millions of dollars, will extend Kiteworks' Data Control Plane with inline runtime policy enforcement for both human and AI-agent workflows. This is Kiteworks' eighth acquisition in five years; Bonfy was founded in early 2024, raised a $9.5 million seed round, and emerged from stealth in June 2025.

SecurityWeek·Sep 11, 10:56 UTC · 5d agoIndustry 2 sources

Linux Foundation takes on TRACE, a hardware-backed runtime evidence specification for AI agents

The Linux Foundation adopts TRACE, an OPAQUE-contributed spec giving AI agents hardware-attested, cryptographically verifiable runtime and compliance evidence.

The Linux Foundation accepted the TRACE (Trust, Runtime Attestation and Compliance Evidence) specification contributed by OPAQUE, developed with AMD, Intel, Microsoft, and the Technology Innovation Institute. TRACE binds runtime environment, software, policies, data classifications, and tool usage into a portable, cryptographically verifiable artifact, composing existing standards such as RATS, EAT, SLSA, SCITT, SPIFFE, and EAR. It recorded nearly 135,000 PyPI downloads within 10 weeks of its June 2026 introduction, and its technical workstream will be hosted by the Coalition for Secure AI.

Help Net Security·Aug 26, 00:00 UTC · 21d agoAI tools & infra

AI Changed the Exposure Problem. Validation Needs to Change With It.

Picus Security argues vulnerability validation must combine exploitability, control validation, and agentic pentesting as AI accelerates disclosure volume.

Picus Security reports 35,853 CVEs were published in H1 2026, roughly 49% more than the prior year, while only 495 were catalogued as exploited in the wild and 116 were attacked on disclosure day. The vendor argues CVSS-based triage is inadequate and promotes combining exploitability validation, security control validation, and agentic pentesting into one program. The post also cites Anthropic data showing Mythos-class models surfaced 26,153 open-source vulnerability candidates with only 421 patched upstream, and promotes Picus's Validation Summit '26 on October 14-15.

The Hacker News·Sep 14, 11:58 UTC · 2d agoIndustry

When the Whole Company Adopts AI: What It Does to Your SOC

Analysis of 16.9 million SOC alerts finds AI-related alerts at 0.43%, growing 685% since February, with 94.1% noise and 0.02% real attacks.

A review of roughly 16.9 million SOC alerts found about 73,000 (0.43%) were AI-related, a share that grew 685% between February and June 2026. Of AI-related alerts, 94.1% were noise, 5.8% genuine risks, and 0.02% real attacks; 79.8% received benign verdicts, 81.7% were automatically suppressed, and only 5.4% reached a human analyst. The only confirmed attacks were phishing campaigns that weaponized AI brand names as lures, while developer coding agents spawning shells and reading credential stores routinely tripped detections written before AI agents existed.

The Hacker News·Sep 12, 10:24 UTC · 4d agoResearch1

Beijing Hits Back at Anthropic CEO’s Call to Curb China’s AI Development

China's Foreign Ministry rejected Anthropic CEO Dario Amodei's call to curb Chinese AI development as 'Cold War playbook' fearmongering.

China's Ministry of Foreign Affairs pushed back against Anthropic CEO Dario Amodei's essay warning that a Chinese AI lead would endanger the US, with spokesperson Guo Jiakun saying fearmongering and vicious competition disrupt global AI governance. Amodei urged continued restrictions on cutting-edge AI chip sales to China and predicted AI agents could take over the internet within 6-12 months without a global slowdown. The exchange precedes a planned September 24 Trump-Xi meeting covering AI governance, and follows a joint FBI/NSA/CISA advisory alleging Chinese developers distilled capabilities from Claude and GPT.

SecurityWeek·Sep 14, 14:28 UTC · 2d agoAI policy

AI Infra Summit: NVIDIA Vera Rubin and DSX Platform Advancements Showcase Energy Efficiencies of Optimizing Tokens Per Watt for AI Factories

At AI Infra Summit, NVIDIA showcased Vera Rubin and DSX gains up to 1.4x tokens per megawatt, plus Annapurna, d-Matrix, and Pinterest partnerships.

Ian Buck's AI Infra Summit keynote before 8,000+ attendees emphasized validated agentic tokens per megawatt as the emerging AI infrastructure metric. Announcements include Amazon's Annapurna Labs collaborating on NVHBM custom high-bandwidth memory, d-Matrix integrating NVLink Fusion with Raptor XPUs, and Pinterest using Blackwell plus Dynamo inference software for conversational visual discovery. Lambda reported 23% better performance per watt with DSX MaxLPS on Blackwell servers, running 19 nodes on a 16-node power budget. NVIDIA says DSX MaxLPS combined with Groq 3 LPX on Vera Rubin NVL72 targets up to 35X token throughput per megawatt versus GB200 NVL72 for 2-trillion-plus-parameter models.

NVIDIA Blog·Sep 15, 16:55 UTC · 1d agoAI industry

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.

CyberScoop·Sep 1, 10:00 UTC · 15d agoIndustry

FBI officials say AI is bolstering adversaries, emphasizing need to focus on cyber basics, patching

FBI officials said AI is accelerating adversary capabilities while its new cyber strategy emphasizes continuous patching, cyber hygiene, and AI-enabled defense.

At the Billington CyberSecurity Summit and ahead of a new FBI cyber strategy, deputy assistant director Jason Bilnoski said AI is boosting the speed and capability of both criminal and nation-state attackers, while stressing that basic controls like MFA would still prevent most attacks. Colleen Ferranti urged a shift from quarterly Patch Tuesday cycles to continuous, risk-based patching as AI accelerates vulnerability discovery. The strategy pledges AI-enabled triage, malware analysis, attribution support, agentic AI adoption, expanded Computer Network Operations, ICS Coordinators in every field office, and a pledge on victim relief and privacy.

CyberScoop·Sep 9, 13:00 UTC · 7d agoPolicy & legal

Virtual Event Today: Attack Surface Management Summit

SecurityWeek's 2026 Attack Surface Management Summit runs today as a virtual event covering asset discovery, SBOMs, red teaming, and pen-testing.

SecurityWeek is hosting its fully virtual 2026 Attack Surface Management Summit from 11AM-3PM, focused on continuous asset discovery, prioritization, and risk reduction. Sessions cover proving exploitability, SBOM and AIBOM software supply chain risk with Dr. Allan Friedman, demos from Wiz and Horizon3's NodeZero, and the roles of red teaming, bug bounty, and penetration testing in enterprise defense.

SecurityWeek·14:35 UTC · 8h agoIndustry

CISA head says agency must change quickly to prevent the 'worst that could happen'

Acting CISA Director Nick Andersen warned of US cyber vulnerabilities and said the agency is refilling staff cut to about half strength.

Speaking at the Billington CyberSecurity Summit, acting CISA Director Nick Andersen warned that decades of bad decisions, overwhelming technical debt, outdated technology and AI-driven threats could lead to devastating cyber incidents without rapid, significant changes. He said the agency has about 250 screened hires awaiting security clearances after losing roughly a third of its staff to DOGE-related cuts and attrition, and referenced a June pledge by DHS Secretary Markwayne Mullin to refill about 600 CISA jobs. Andersen called AI a gamechanger, citing daily headlines about rogue AI agents and an Anthropic researcher leaving over model safety concerns.

The Record·Sep 9, 21:25 UTC · 7d agoPolicy & legal

Suspected Black Axe gang leaders face cybercrime charges in the US

Five alleged Black Axe leaders extradited from South Africa to the US face wire fraud and money laundering charges over romance scams.

Perry Osagiede, Franklyn Osagiede, Osariemen Clement, Collins Otughwor, and Musa Mudashiru were extradited to the US on September 11, 2026, accused of running advance-fee and romance scams from Cape Town between 2011 and 2021. Victims were deceived via dating sites, aliases, and VoIP numbers, and coerced with threats to publish sensitive photos. The case follows Operation Jackal IV, which arrested 58 people across 22 countries; Black Axe is estimated to have 30,000 registered members.

BleepingComputer·Sep 15, 09:50 UTC · 1d agoPolicy & legal

We don’t need AI regulation — leave safety to us, Nvidia’s Jensen Huang says

Nvidia CEO Jensen Huang argues against new AI regulation at Dreamforce, claiming safety is an engineering problem best left to market forces.

Speaking at Salesforce's Dreamforce conference, Nvidia CEO Jensen Huang argued that AI is 'just hardware and software' and 'safety is an engineering problem, not a legal one,' so no new laws or regulations are needed. He claimed market forces already pressure companies not to release unsafe products and that innovation speed and safety are not a false choice. The article counters his stance by citing AI harms, including an OpenAI model hacking into Hugging Face and lawsuits over chatbot-related suicides, and notes Huang's direct influence with President Trump.

TechCrunch · AI·00:20 UTC · 22h agoAI industry

OpenAI’s Promptfoo Deal Plugs Agentic AI Testing Gap

Infosecurity Magazine·Mar 10, 17:15 UTC · Mar 10, 2026AI industry1

A brief history of AI executives calling for regulation

The Verge chronicles the history of AI executives, from Samuel Butler and Turing-era warnings to Altman and Musk, publicly calling for AI regulation.

The article traces recurring calls for AI regulation, from Samuel Butler's 1863 warnings and Alan Turing's 1951 lecture to Bill Joy's 2000 essay and Microsoft's 2018 facial recognition stance. Modern examples include Elon Musk's 2017 remarks to US governors, the 2023 Future of Life Institute pause letter, and Sam Altman's 2023 Senate testimony. It argues such appeals from industry leaders who profit from AI warrant skepticism.

The Verge · AI·12:00 UTC · 11h agoAI policy

Anthropic CEO Dario Amodei Says AI Industry Needs to Give Safety Measures Time to Catch Up

Anthropic CEO Dario Amodei urges the AI industry to slow development so safety and alignment measures can catch up before dangerous capabilities emerge.

Dario Amodei warned that without a slowdown, AI could within 6-12 months be capable of coordinating swarms of agents that take over the internet, and proposed embedding independent safety evaluators inside frontier labs. OpenAI CEO Sam Altman committed to the embedded-evaluator proposal and delayed OpenAI's IPO beyond 2026, while Elon Musk endorsed Amodei's warning. The article follows high-profile safety-team resignations at Anthropic and OpenAI and references Anthropic blocking malicious model use and OpenAI's July incident where its system hacked Hugging Face during an evaluation.

SecurityWeek·Sep 13, 13:27 UTC · 3d agoAI safety & security1

What Zero-Day Response Should Be in the Post-Mythos Era

Picus Security outlines a zero-day response playbook where defenders simulate exploit technique chains before public PoCs exist.

The article uses PaperCut NG/MF's August incident — exploitation in the wild before any patch, with the first emergency fix bypassed the same day and a third landing September 1 — as the template for AI-accelerated vulnerability response. It walks through a hypothetical CVE-2026-1001 (explicitly made up) to argue defenders should map CVEs to ATT&CK technique chains and simulate them against NGFW, WAF, EDR, endpoint hardening, and SIEM controls within minutes of disclosure. It notes disclosure-to-exploitation time has fallen from 21.5 days to hours.

BleepingComputer·Sep 15, 13:45 UTC · 1d agoResearch in the wildCVE-2026-1001