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.
23,870 matching stories — announcement — 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.
A checklist for scoring AI pentesting vendors on validation, code access, scope control, and reliability, plus the red flags that separate a real platform from a strong demo. Category: Aikido
Every fall, Apple’s newest operating systems arrive everywhere at once. That’s great for users, but it puts IT teams on the clock: they need to validate the release, find blockers, prepare their support teams, and decide when the business is ready to move.
The post Beyond Automation appeared first on Mitratech.
Employee use of GenAI tools like ChatGPT is growing, and without proper oversight, that growth introduces serious security and compliance risks. ⚠️ eSentire MDR for GenAI Visibility helps you understand how GenAI is being used across your organization, monitor user prompts and shared files, and detect policy violations before they cause harm. Download the datasheet to learn how this solution helps track workforce usage, support governance, and reduce risk through a single, metric-driven dashboar
ZeroPath builds CycloneDX, SPDX, VEX, and AI-BOM exports from your scan inventory, and marks every CVE reachable or not_affected so you fix what's exploitable first.
On 20 August 2026, the crates.io releases `[email protected]`, `[email protected]`, and `[email protected]` were republished with a new dependency on the typosquat `proc-macro1`, whose `build.rs` downloaded and executed a cross-platform second stage during `cargo build`.
A policy decision point evaluates an access request against policy and returns allow or deny. NIST SP 800-207 splits it from the enforcement point, and that split is what makes real-time authorization possible.
Zero trust is the framework. Data-centric security is how its data pillar gets built. Zero trust governs identity, devices, networks, applications and data; data-centric security governs the last of those at the object rather than at the path.
CloudSEK’s BRIDGEHEAD investigation exposes a 40-package npm typosquatting campaign that abuses WSL to reach Windows hosts and deploy a concealed Rust-based stealer. The malware targets cryptocurrency wallets, browser credentials, cookies and Telegram sessions, while executing largely in memory and using public infrastructure for reconnaissance and exfiltration, making detection and takedown significantly harder. Authors : Vikas Kundu
In the short time that AI agents have been a part of the enterprise, they have upended many of our bedrock assumptions about the nature of identity, access, development, and work itself. At 1Password, we’ve been in the trenches of the agentic revolution; we’ve seen its positive impact on productivity, and the serious concerns it raises about security. We’ve worked to build solutions that both harness AI’s potential and rein in its risks, and watched customers and colleagues grapple with the same
Banks spend considerable effort segmenting customers for products, communications, and risk. A mortgage customer is treated differently from a primary current account holder. A corporate treasurer has different needs from a retail savings customer. Yet when it comes to authentication, many banks still design around a single primary approach: mobile-first authentication.
Legacy SASE breaks down when work moves to the browser. See the five ways it's failing and how Island's perfect packet model fixes them at the source.
An independent IDC study found organizations deploying the Elasticsearch Platform for enterprise search and agentic AI deliver AI products faster, drive higher revenue, boost productivity, and strengthen operational resilience across the business.
What is dark data and how does it cause business risk? Discover how ungoverned, invisible data drives compliance failures, breaches, and AI risk — and how to fix it.
Most AI guardrails were built to screen text. They were not built to govern actions. That distinction did not matter much when AI systems generated reports and drafted emails. It matters now. AI agents are calling APIs, writing to databases, triggering payment approvals, and modifying production systems. The guardrail question has shifted from “is this output safe?” to “is this action authorized?” and the tools enterprises deployed for the first question cannot answer the second. This post expla
Efficient contextual modeling reduces manufacturing data volume without losing insight, using report-by-exception and Semantic Graph design.
Datadog’s Risk Engineering team built a Systemic Risk Detection Pipeline and Risk AI Agents to identify, contextualize, and prioritize systemic risks.
Datadog Code Security’s AI-native SAST helps detect vulnerabilities specific to the OWASP Top 10 for LLM Applications before they reach production.
At Black Hat this month, a group of security researchers took a $9,000 robot dog, plugged Google's AI into its brain, and jailbroke it by telling it - with a completely straight face - that it was a Pokemon. What followed involved a wall, a blue ice chest, and anyone in the room wearing white shoes. Oh, and did we mention you can buy a flamethrower attachment? Meanwhile, in Salzburg, 280 gold statuettes of Mozart have vanished from the streets. This has happened to the same artist before. Organi
Punitive phishing tests drive mistakes underground. Learn how a blame-free human risk management platform turns your workforce into active threat sensors.
Drawing on the 2026 CTEM study, this article examines why most CTEM efforts stop at visibility and why continuous attack-path validation is what truly drives risk reduction.
Discover the strategic balance between fixing vulnerabilities and protecting against exploits. Learn how to prioritize resources effectively in cybersecurity.
Public reports of an Iran-linked cyberattack disrupting Stryker’s Microsoft environment highlight a growing SecOps challenge: attacks that move through identity and management layers where siloed detections often miss the full attack path.
The EU Business Wallet (EBW, under eIDAS 2.0 from 2027) verifies who a company is. The Digital Product Passport (DPP, under the ESPR) verifies what is inside a product. Both proofs rely on verifiable credentials and belong together technically: a DPP is only as trustworthy as the identity of the party that issued it. Companies that address both requirements on the same standards base, rather than separately, avoid duplicate infrastructure and are prepared for the next wave of regulation.
Die EU Business Wallet (EBW, unter eIDAS 2.0 ab 2027) verifiziert, wer ein Unternehmen ist. Der digitale Produktpass (DPP, unter ESPR) verifiziert, was in einem Produkt steckt. Beide Nachweise beruhen auf verifizierbaren Credentials und gehören technisch zusammen: Ein DPP ist nur so vertrauenswürdig wie die Identität seines Ausstellers.
Key Takeaways AI agent identity is the set of signals used to establish what an automated agent is, who operates it, and whether its presented The post What Is AI Agent Identity? Verifying the Agents Reaching Your Site first appeared on CHEQ.
Two organizations can run the exact same operational risk framework and produce completely different outcomes, because a framework tells you how to assess risk while a strategy tells you what to do with what the assessment finds. Most organizations invest heavily in the first and treat the second as an afterthought, which is why so many risk programs generate accurate assessments that never actually change a decision.
ManagedMethods helps consolidate three critical K-12 technology functions while saving time and money When Karen Brunker’s colleague left Archer City Independent School District, she spent approximately six weeks managing the district’s entire technology workload alone.  Every cybersecurity alert, blocked website inquiry, Chromebook issue, classroom request, projector problem, and support question landed on her desk. It ... The post How Archer City ISD Replaced a Patchwork of Tools With A U
The post The water utility attacks in 12 states are a vendor risk problem appeared first on Resilience.
The post The water utility attacks in 12 states are a vendor risk problem appeared first on Resilience.
The enterprise rush to deploy artificial intelligence has produced standout wins and hard-learned lessons. As AI adoption accelerates in 2026, success depends on a disciplined, practical checklist. This guide equips IT and security leaders with a framework to assess readiness, implement safeguards, and deliver measurable value while avoiding common pitfalls. Evaluate infrastructure and network capabilities. […]
The post The IBP normenkader: what school boards must arrange before 2027 and 2030 appeared first on Guardey.
The post Best Practice Workshop: Driving Strategy with Self-Service Reporting appeared first on Hyperproof.
Quick summary: Selecting an AI-TPRM platform requires evaluating both the tool and the vendor behind it. AI-native platforms — built on AI from inception — differ meaningfully from AI-powered tools that layer models onto legacy systems, and that architectural difference determines whether features like explainable AI, continuous monitoring, and end-to-end evidence traceability actually perform under real conditions. The selection process moves through five stages, from scoping requirements to a
AI tools are already inside the enterprise. Discover what Ai4 conversations revealed about AI governance, MCP security, endpoint control, and adoption. The post AI Governance in 2026: What I Learned from Talking to CISOs and Platform Teams at Ai4 appeared first on Obot AI.
libtss2 provides the TPM 2.0 Software Stack (TSS), including the Enhanced System API (ESAPI) and Feature API (FAPI), for communicating with Trusted Platform Modules. FIPS 140-3 support is available for libtss2 with wolfCrypt FIPS, tested for use with libtss2 environments. wolfCrypt FIPS provides a lightweight cryptographic module for security focused deployments. This helps organizations secure […]
When we introduced Silo Nexus AI, the goal was never to build another chatbot. Common chatbots attribute your queries to... The post What’s New with Silo Nexus AI v2 appeared first on Authentic8.
Connecting an application moves the data. It does not make the data trustworthy. Connecting an application to a governance platform feels like a finish line. The integration is built, the accounts appear in the dashboard, and the application moves from the ungoverned column to the governed one. In practice, the connection is a starting line.
We're donating more than $100,000 to the GrapheneOS project to help fund their independent development.
The post OT Security May Hold the Blueprint for Securing IT and AI appeared first on Xage Security.