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.
2,273 matching stories — 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.
Your AI agents all call the same internal APIs, and those APIs return everything. Here's why enforcing data policy at the API gateway scales better than building filtering into every agent you ship. The post Enforcing AI Data Policy at the API Gateway appeared first on Protecto.
Compare the top 10 CNAPP vendors for enterprises, including Wiz, CrowdStrike, and Fidelis Halo®, with a full feature and fit comparison. The post Top CNAPP Vendors and Which One Should You Pick appeared first on Fidelis Security.
Semtech Corporation, provider of high-performance semiconductors powering AI data center networking and intelligent, connected Internet of Things (IoT)... The post Semtech and Palo Alto Networks integrate 5G/LTE routers with Zero Trust security for industrial IoT appeared first on Industrial Cyber.
They never broke any rule, never missed a filing deadline, never failed verification, or ever triggered a system-wide alert. On paper, they were compliant. And yet, over the course of a single financial cycle, more than ₹5,700 crore in suspicious Input Tax Credit moved through a web of entities that did not appear connected to […] The post How Innefu’s Prophecy Eagle I Traced a ₹5,700 Crore Suspected Input Tax Credit (ITC) Fraud Network appeared first on Innefu Labs.
They never broke any rule, never missed a filing deadline, never failed verification, or ever triggered a system-wide alert. On paper, they were compliant. And yet, over the course of a single financial cycle, more than ₹5,700 crore in suspicious Input Tax Credit moved through a web of entities that did not appear connected to […] The post How Innefu’s Prophecy Eagle I Traced a ₹5,700 Crore Suspected Input Tax Credit (ITC) Fraud Network appeared first on Innefu Labs.
Good AI in risk management isn’t the flashiest dashboard or the most advanced model — it’s the capability that measurably improves the decisions your risk function makes most often, in a way your team can understand and trust. The organizations getting this right start with a specific decision they want to improve, not a technology […] The post What Good AI in Risk Management Actually Looks Like (And Why Most Fails) appeared first on Archer.
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Backslash analyzed the 8,000 most popular MCP servers by GitHub stars. 29% carry at least one risk finding and 6 have confirmed unintended remote code execution. Full research, CVEs, and secure MCP adoption best practices.
Hallucinations kept an LLM out of our knowledge base cleanup for years. Splitting generation from atomic claim verification fixed it and cleared a four-year backlog of duplicate articles.
Starting September 24, 2026, Elastic Cloud on Azure adds compute-optimized (ARM) hardware profiles backed by Microsoft's Cobalt ARM processors, delivering up to 37% better throughput than the previous generation Ampere Altra VMs at lower cost.
LiteLLM vs Tetrate comparison for 2026: performance benchmarks, security and compliance gaps, total cost of ownership, plus migration paths for AI gateways.
We benchmarked Jev against Claude Opus 5 and GPT-5.6 Terra on accuracy, cost, and latency. Learn how threshold tuning changes hallucination detection. The post Jev vs. LLM-as-a-Judge: Accuracy and cost benchmarks appeared first on Arize AI.
Compare Jev and GPT-5.4 nano for real-time LLM guardrails, with demo results on latency, cost, and checks on agent inputs, replies, and tool calls. The post Real-time LLM guardrails with Jev: comparing latency and cost appeared first on Arize AI.
A rebuilt Outlook toolkit, a new Snowflake toolkit, and optimized Calendly and Airtable toolkits — what your agents can do now that they couldn't before.
Learn how California Executive Order N-9-26 advances independent AI verification and what governance, legal, privacy, and security teams should do now. The post California AI Executive Order N-9-26: What It Means for AI Governance appeared first on RadarFirst.
As AI takes on more consequential work, security needs to keep pace. Aurascape CEO Moinul Khan responds to Dario Amodei’s essay and explains why enterprises need independent controls to protect AI interactions and support adoption. The post Aurascape CEO Moinul Khan: A Response to Dario Amodei on AI Safety appeared first on Aurascape, Inc..
Learn how attackers combine environment variable staging and steganography in PNG files to deliver DCRat malware in memory.
Sep 30, 2026 - Ayush Sethi - Most AI monitoring can tell you something risky happened. Far fewer can tell you who did it, on which tool, in which exact words, without a week of correlation first.A prompt goes out to a public chatbot with a quarter's budget figures pasted into it. Most tools that see this can tell you a policy was tripped, or that a large amount of text left the network. What they usually cannot tell you, not without pulling logs from three systems and lining up timestamps by han
Daytona cofounder Ivan Burazin wants agents that can finish the job within the authority they have been given. His interview offers a starting point for examining how agents use your software. The post What changes when AI agents use your software appeared first on Arize AI.
Varonis Threat Labs recently discovered AvisLoader, a new Windows loader named after the Latin word for bird. We found it on an exposed staging server alongside a ClickFix lure, supporting tools, and its Command Center.
Jev, System One Models, and the Jevons Paradox: Why Cheaper Decisions Make Runtime AI Security Mandatory TypeSafe AI’s September 15 announcement of System One Models and its first model, Jev, marks an important shift in how enterprises will use machine intelligence. Just as important, it does not stand alone. TypeSafe coined the System One label, but other vendors are already shipping comparable low-latency, structured-decision APIs. One example is milliseconds.ai, which describes itself as “sma
How do organizations deploy more agents with greater autonomy when oversight and audit are limited by human review? New Vijil research develops a neuro-symbolic approach that makes agent behavior auditable, oversight scalable, and flags policy violations more reliably than the strongest LLM-as-Judges.
We argued that what gates agent autonomy is not capability but trust. Mayfield's 2026 survey of 60-plus security leaders says the CISO consensus has caught up.
Autonomous security agents are getting good at finding bugs. Nobody has a good way to measure how good. Point one at a realistic target and what comes back is a report the agent wrote about itself: confident prose, a list of findings, and no way to tell which of them happened. Someone with a security background then sits down and checks every claim against the target. Which findings are real,
One malicious response from a tool the agent was built to call bypassed every one of those defenses and reached remote code execution and credential theft. Every defense was compliant. The agent was still compromised.
Sovereign AI is about more than keeping data within a particular country. For enterprises, it means maintaining meaningful control over data, models, infrastructure, and governance while retaining the flexibility to evolve as AI changes.
Bidirectional integration connects automotive vulnerability intelligence with system-level risk engineering, bringing Live TARA to automotive risk modeling.
Zero-Trust AI Agents: Why Intent Matters More Than Tool Syntax A tool call can be perfectly formed and still be unauthorized. The schema can match. The parameters can have the correct data types. The agent can hold a valid connection to the target system. None of those facts answer the question that matters in production: should this action happen now? That is the difference between syntax validation and runtime authorization. Syntax validation asks, “Is this call well-formed?” Authorization ask
Sep 23, 2026 - Ayush Sethi - Most AI monitoring can tell you something risky happened. Far fewer can tell you who did it, on which tool, in which exact words, without a week of correlation first.A prompt goes out to a public chatbot with a quarter's budget figures pasted into it. Most tools that see this can tell you a policy was tripped, or that a large amount of text left the network. What they usually cannot tell you, not without pulling logs from three systems and lining up timestamps by han
Criminal profiling software uses AI to correlate modus operandi, forensic evidence, and case data across districts and jurisdictions, helping investigators identify likely repeat offenders and networked criminal activity from patterns that would otherwise stay buried in separate police station records. This is different from behavioral profiling, the psychological technique of inferring an unknown offender’s characteristics […] The post Criminal Profiling Software: How AI-Driven MO a
Ten documented attacks on Claude Code, from the Miasma worm to TrustFall and GhostApproval. Which vulnerabilities got a CVE, and which are still live today.
Linux has never been limited to large enterprises. It runs home servers, development machines, web servers, small business infrastructure, laboratories, schools, nonprofits and thousands of organizations where there may be no dedicated security team at all. Yet much of the modern Linux security industry is built as though every Linux system belongs to a Fortune 500 company. That is why Codenotary's new Linux offering at apps.codenotary.com/linux is significant. It gives Linux users access to ser
AI agent hooks are real security controls, but they move with the agent being governed. Why assurance needs enforcement and evidence from outside the agent.
Compare Zuplo MCP gateway alternatives for enterprise AI, covering MCP security, governance, access control, observability, and scalable agent deployments in 2026.
Compare 7 Speakeasy MCP gateway alternatives for enterprise AI governance, security, access control, observability, and scalable MCP deployments in 2026.
Compare Nango alternatives for enterprise AI agent governance, covering MCP security, access control, observability, compliance, and scalable agent deployments in 2026.
Learn what California SB 813 and AB 1405 require of AI auditors, what they do not mandate, and how organizations can prepare for AI audit readiness. The post California AI Audit Laws: What SB 813 and AB 1405 Mean for AI Governance appeared first on RadarFirst.