Funding rounds, leadership changes, incidents, new capabilities and announcements across the vendors in this catalog — collected automatically from vendors' own public feeds. Product release versions are on their own page, so the landing feed here never reads as one vendor's changelog.Where this comes fromEvery item links to the vendor's own published source: a GitHub release feed, a changelog, a status page, an SEC filing or a company blog. Nothing here is written or editorially reviewed by 0-Doubt, and nothing is a recommendation — it is machine-collected public record, labelled the same way as all other baseline content on the platform. Coverage is uneven by design: a vendor that publishes no public feed will not appear, and that absence is not a judgement about the vendor.
2,172 matching stories — announcement, in AI / LLM Security — showing up to 3 per vendorPer-vendor capWhile browsing, no single vendor may fill more than three slots on any one page, so a vendor with a chatty release cadence cannot buy the page you are looking at. That means a page can render fewer stories than the count above. Searching a headline or naming a vendor turns the cap off, because then you have asked to see everything that matches.
Unless you spent last week on an island with no signal, you couldn’t have missed the news. AI moves in a fast cycle now, with something new almost every week. Last week brought a cluster of news at once. Are We Really Entering the AI Doomsday Scenario? Five Things Enterprise Leaders Should Do Now is […] The post Are We Really Entering the AI Doomsday Scenario? Five Things Enterprise Leaders Should Do Now appeared first on Trust3 AI.
Seventeen public incidents of agents hacking real companies, and not one of them was an alignment failure at root. Every single one ran on authority nobody scoped. Here is what to change.
What to Watch at ALL IN 2026: The Enterprise AI Questions Montréal Will Be Asking AI is moving from demonstration to operation. At ALL IN 2026, the important question is not whether models are becoming more capable. It is whether enterprises, public institutions, and infrastructure providers can deploy that capability with enough control to make it reliable, accountable, and economically useful. The program makes that question concrete through four talks: “The New AI Infrastructure Race: Energy,
Elastic sits at the very top of this year’s AV-Comparatives' CyberRisk Quadrant within the 2026 Endpoint Prevention and Response (EPR) test with the highest protection scores at 100%. Learn more.
The C-Suite Signal – Perspectives from the people leading the AI transformtion You Can’t Govern What You Don’t Know You Have By Christopher Hippensteel, Director of Information Technology, New Resources Consulting I’ve spent most of my career on the “no” side of the table. As an ethical hacker and cybersecurity specialist, it’s my job to […] The post You Can’t Govern What You Don’t Know You Have appeared first on Portal26.
An employee asks an AI agent to investigate a customer issue. The agent retrieves internal technical context, prepares a plan of action, and attempts to send it through an external tool. The employee has permission to investigate, and the tool is available. But should an agent that has just handled sensitive customer material be allowed... Read more » The post WitnessAI in SACR’s ARISE Market Map: Why a Unified AI Control Plane Matters appeared first on WitnessAI.
Learn how AI incident management helps organizations assess, remediate, and learn from unexpected AI behavior while preserving trust and accountability. The post AI Incident Management Turns AI Risk Into Operational Trust appeared first on RadarFirst.
See how to use Cursor and Obot to limit what AI agents can do in GitHub without taking away developers’ own permissions. I’ll walk through role-specific tool access, filters, audit logs, and how to spot MCP connections that bypass the gateway—even when developers use other AI clients. Cursor is popular because developers can get productive […] The post Cursor and Obot: Secure MCP Access Without Giving Up Developer Choice appeared first on Obot AI.
Here's the uncomfortable part first: in August 2026, researchers found AI agents connected to Hugging Face running loose inside enterprise networks. No owner, no audit trail, nobody who could tell you they existed until something broke. If that sentence made your stomach drop a little, good, because it should. It's the same blind spot most [...] The post AI Agent Security Readiness: The Federal Standard You Should Get Ahead Of appeared first on Wallarm.
Built on proprietary models trained since 2017, Archer Evolv™ AI Operators are purpose-built digital full-time employees that work alongside risk, compliance and security teams, under their supervision, inside the GRC harness and system of record those teams already trust.  80% of Fortune 500 companies are running active AI agents. Only 14% have full security approval for them. […] The post AI Capability Arrived First. AI Proof Did Not. appeared first on Archer.
A cancellation-policy fix raised action safety and dropped average task completion from 0.89 to 0.72. This walkthrough shows how to regression-test agent changes with Agent Experiments in Arize AX. The post AI agent regression testing with Agent Experiments in Arize AX appeared first on Arize AI.
Palo Alto Networks has achieved FedRAMP Moderate authorization for Quantum-Safe Security (QSS), a turnkey Automated Cryptography Discovery and Inventory (ACDI) solution. With this certification, federal agencies can deploy QSS immediately. The authorization … The post FedRAMP Moderate Authorization for Palo Alto Networks Quantum-Safe Security appeared first on Palo Alto Networks Blog.
A practitioner's guide to governing AI agents at the tool call: what to enforce, how to map it onto the stack you run, and how to prove what every agent did.
AI is changing cyberattacks from automated campaigns into adaptive threats that can alter tactics in real time. Traditional rule-based defenses and manual investigation are struggling to keep pace. Modern SOCs need faster detection, behavioral intelligence, and carefully governed automation to respond effectively.
Managing identities shouldn’t feel like juggling chainsaws. But right now, IT teams are facing a whole new kind of operational […] The post Beyond Shadow AI: Why the Agentic Era Demands a Unified Identity Strategy appeared first on JumpCloud.
Your GRC platform assumes the thing it governs holds still. AI doesn't—vendors swap models mid-contract and questionnaires can't see it. What GRC still does well, where it runs out of road, and the pattern that uses both without pretending either is enough.
Our approach to safeguards in Tinfoil Chat that keeps your conversations private: model evaluations before hosting, plus safeguard models that run exclusively inside secure enclaves.
Discover the 7 best vendor risk management solutions, designed to help you mitigate third-party risks while ensuring compliance. The post 7 Best Vendor Risk Management Solutions appeared first on Scytale.
An agent harness turns a language model into an agent: loop, tools, context, approvals, sandbox. Nearly every agent vulnerability we have published lives there.
Fiddler Guardrails, powered by Centor models, integrates with LiteLLM to allow, redact or block PII, PHI, and secrets inline before AI agents leak sensitive data.
Large language models now sit at the center of daily enterprise work. Employees and developers use chat tools and copilots, while autonomous AI agents call APIs against production systems. Much of that activity happens outside the security stack that governs everything else, which is why LLM security best practices now sit on the board agenda.... Read more » The post LLM security best practices appeared first on WitnessAI.
A single prompt can send a customer list, a source code snippet, or an unreleased financial figure to a third-party model in seconds, and most security teams have no record of it. AI data classification closes that gap. It inspects prompts, uploads, responses, and tool calls in flight, categorizes what’s sensitive, and gives security teams... Read more » The post AI data classification: how it works appeared first on WitnessAI.
Most AI agents have no named owner, no centralized visibility, and no kill switch. Here's how to close those three gaps with lifecycle governance. The post Who Owns Your AI Agents When Something Goes Wrong? appeared first on JumpCloud.
AI assistants and autonomous agents work differently and need different security. Learn how to protect both patterns in your network. The post The Two Ways AI Agents Are Already Working in Your Environment (And Why They Need Different Security) appeared first on JumpCloud.
Decoding Agent Security: An Implementation Guide for Deploying Autonomous Agents Safely Anchored in OpenAI’s “Agent Security in the Enterprise” white paper (August 2026) Why This Paper Exists The era of autonomous agents is here. For CISOs, security leaders, and technical decision-makers who are deeply practiced in human-centric security paradigms this is a transition moment into something newer and unsettling. Agents don’t fit traditional security practices: a person exercising judgment inside
A technical breakdown of the attack where hundreds of AI agents exploited two NG/MF flaws, reinforcing an AI attacker’s appetite for identity and credential abuse.The post PaperCut breach: What AI agent attacks teach us about Identity Security resilience appeared first on Silverfort.
Fiddler AI vs. Trust3 AI: content-safety guardrails vs. purpose-based access control, and what happens to agent identity across A2A delegation chains. The post Is Fiddler Enough for A2A Security? What Agent Observability Doesn’t Cover appeared first on Trust3 AI.
See how Priority Assistant helps privacy teams triage new incidents, identify potential urgency sooner, and prioritize reviews while keeping analysts in control. The post Priority Assistant: An AI Incident Triage Agent That Helps Privacy Teams Know Where to Start appeared first on RadarFirst.
Learn how to securely connect Grok Bot to Arcade using an MCP Gateway, OAuth, approval rules, and scoped tool access for safer automations and examples.
Sep 11, 2026 - Ayush Sethi - Find, score and scan every AI model across code and cloudEvery model running from your code to your cloud is your risk, whether or not anyone told you it was there. FireTail finds them all, scores each one, scans them on a schedule, and hands you the evidence your board or an auditor will accept.FireTail discovers the models across your cloud accounts and code repositories, scores each one for risk, scans them on a schedule, and maps every finding to the frameworks y
Sep 11, 2026 - Ayush Sethi - AI providers send one number a month. Cost observability is how you turn that into something you can forecast, attribute and defend.Earlier this year Uber went through its entire 2026 AI budget in four months. A single two-hour coding session cost $1,200, and the company now caps each employee at $1,500 per tool per month. If a company that size can lose the thread on its AI spend that quickly, most teams can too. The bill is built to keep you in the dark.AI has beco
From advanced anti-piracy to next-generation video platforms, Irdeto will demonstrate how operators can protect content, simplify complexity and deliver better viewer experiences AMSTERDAM – September 11, 2026 - Irdeto, a CANAL+ company and the world leader in digital platform cybersecurity, will showcase its latest innovations in anti-piracy and video entertainment at IBC 2026, taking place September 11–14 at the RAI Amsterdam.
