Best Prompt Injection Detection Tools (2026)
Explore the best prompt injection detection tools for 2026 to identify malicious inputs, protect AI systems, and reduce risks from prompt-based attacks.
Vendor news
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.
Agentic AI Security: 10 Platforms & Tools (2026)
Explore the top 10 agentic AI security platforms and tools for 2026, covering AI agent threats, data protection, runtime security, and risk management.
Agent Sandbox: What It Is & 11 Best Sandbox Options for AI Agents (2026)
Learn what an agent sandbox is and compare 11 top sandbox options for AI agents in 2026, with features for isolation, security, testing, and safe execution.
How to Discover Hidden Failure Patterns in Your AI Agent's Production Traffic
Discover hidden AI agent failure patterns in production traffic with a repeatable workflow: capture full traces, cluster failures, and score every trace.
Polygraf AI Named a Finalist in the SiliconANGLE TechForward Awards
Austin, TX, August 25, 2026 – Polygraf AI today announced it has been named a finalist in SiliconANGLE’s 2026 TechForward Awards in the AI Governance & Responsible AI category. The post Polygraf AI Named a Finalist in the SiliconANGLE TechForward Awards appeared first on Polygraf.
How to evaluate AI governance vendors: criteria for comparing vendors
The AI governance market has evolved from a niche discipline into a crowded field of GRC incumbents, runtime security vendors, and unified platforms all pitching the same buying committee. That’s a problem when the stakes are moving from pilot to production. If your governance platform can’t stop an employee pasting deal data into a chatbot,... Read more » The post How to evaluate AI governance vendors: criteria for comparing vendors appeared first on WitnessAI.
5 AI security platforms with compliance features compared
Enterprise AI has moved into native desktop apps, IDE plugins, and autonomous agents calling APIs and MCP servers, and many of those interactions never touch a browser. The file-, URL-, and packet-centric tools most security teams already own weren’t built for conversational AI or agents that take action, which leaves gaps right where AI is... Read more » The post 5 AI security platforms with compliance features compared appeared first on WitnessAI.
Why better models don’t fix every agent failure: Lessons from OpenAI
In this installment of Rise of the AI Engineer, Stuart Sy from OpenAI, explains why the bottleneck has moved off the model and onto context, evals, and observability. The post Why better models don’t fix every agent failure: Lessons from OpenAI appeared first on Arize AI.
The Path to the Autonomous SOC: The Early Returns of AI & What It Means for Cybersecurity
Discover how early-stage AI yields rapid SOC returns, driving platform consolidation and reducing analyst burnout in this blog post.
Their Revenue Forecast Is Your AI Budget
From the AI ROI Series, recorded 25 August 2026. Anthropic is going public, and it is shaping up to be the largest listing in history, […] The post Their Revenue Forecast Is Your AI Budget appeared first on Olakai.
How BADBOX-Linked Malware Turned Automotive Head Units into Proxy Nodes
VicOne shows how BADBOX-linked malware used DoFun Android head units, weak MQTT security, and trusted OTA updates to push silent, persistent installs.
From Policy Document to Inline Classifier in 24 Hours
Turn a policy PDF into a gated, versioned classifier scoring 100% of traffic inline at under 120ms p95. See how the pipeline handles week three.
AI Governance Software: What Enterprises Should Look For in 2026
At a Glance Most enterprises can describe their AI policy in a sentence. Far fewer can describe, with evidence, which AI systems are actually running across the business, who owns each one, and what would happen if a regulator asked to see proof tomorrow. That gap is why AI governance software has become its own […]
What Is Data Loss Prevention (DLP)? Types, Use Cases, and Best Practices
Understand data loss prevention (DLP), its meaning, types, use cases, and how modern DLP solutions help enterprises discover, monitor, and protect sensitive data across cloud, AI, and enterprise workflows. The post What Is Data Loss Prevention (DLP)? Types, Use Cases, and Best Practices appeared first on Protecto.
日本のビジネスパーソンを対象としたWiz調査で 「AI導入加速」はクラウド移行を上回ることが明らかに
同時に8割以上がAIによるサイバー攻撃への備えに遅れを感じ、60%がAIセキュリティへの投資を計画
OWASP Agentic Skills Top 10 explained: the ten agent skill risks, and which to fix first
OWASP's newest Top 10 covers the skill layer: prose files agents load and act on. What all ten risks mean, and the order to fix them.
Three dogs, a live range, and the channels that already belong
Branch61G Weekly for August 25, 2026: the Zimbra Collaboration SNMP command injection under active exploitation with a three day KEV clock, a maximum severity Oracle WebLogic flaw, an implant that disables the endpoint agent, and FTP banners used as dead drops. Plus first results from the DeepTempo range, where LogLM caught every instance of C2, lateral movement and exfiltration we staged.
Verified Data Decides If Agentic AI Can Be Reliable
Agentic AI depends on more than good models. See what verified data actually requires, and why skipping it means automating bad decisions faster.
Can Your Agents Commit? Building an Autonomous Contract Agent.
Realize immediate ROI with Contract Agents Governing Agent Transactions, a series on governing autonomous agents inside the systems that run the business. In Part 2, an accounts payable agent tried to move $200 through a $100 ceiling and stopped cold. That’s one shape of governance: a hard boundary, a clean block, no ambiguity about the right outcome. Not every commit works that way. Sometimes the right outcome isn’t block — it’s don’t decide this alone.
Observability and Governance for AI Apps on Company Desktops
See and govern Claude Code, Cowork, Codex and ChatGPT Work on employee desktops, with the same policies and incident queue, using telemetry they already emit
How to choose an agent harness
Choose an agent harness by answering five questions in order: where does enforcement live, where does your data run, can you inspect the control plane, can you compose it to …
ChatGPT Security Issues: Key Risks & How To Stay Protected
Blog
7 Best LLM Security Tools for Enterprise AI in 2026
LLM security is the layer of controls, policies, and runtime defenses that governs what happens when large language models interact with enterprise data, users, and systems at scale—and in 2026, deciding which tools sit in that layer is no longer optional infrastructure. Enterprise AI adoption has outpaced the controls most security teams have in place,... Read more » The post 7 Best LLM Security Tools for Enterprise AI in 2026 appeared first on WitnessAI.
Cohesity Identity Resilience—Purpose-built for Active Directory challenges
In part one, we discussed how restoring Active Directory (AD) after a ransomware attack isn't as simple as restoring the latest backup—because that backup might already be compromised. Remember: Blind restores can be dangerous. Restoring without validating means restoring the attacker's access alongside your data. Every hour of AD downtime paralyzes the entire organization. Kerberos-dependent systems—VPN, email, ERP, endpoint authentication—grind to a halt. Identity resilience requires purpose-b
A skill is just an agent. So measure your changes.
A skill is just another AI agent: a prompt plus a harness that runs it. That means you can trace it, eval it, and prove a change made it better instead of shipping on vibes. Here's how we quantify skill changes with Arize AX, with a real merged PR and the numbers behind it. The post A skill is just an agent. So measure your changes. appeared first on Arize AI.
Best TypeScript AI Agent Frameworks for Next.js 2026
Compare the best TypeScript AI agent frameworks for Next.js in 2026, from Mastra to Vercel AI SDK, and pick the right runtime for production.
What Is the RadarFirst Legal Engine?
Learn how the patented RadarFirst Legal Engine applies deterministic legal intelligence to deliver consistent, explainable, audit-ready privacy decisions. The post What Is the RadarFirst Legal Engine? appeared first on RadarFirst.
SaassyCode Repackaged: Four New VS Code Extensions and a New Delivery Chain
Knostic reveals four new VS Code extensions that exploit SaassyCode's malicious code, showcasing evolving delivery methods and potential security risks.
Map What Your Agent Can Reach Before It Deletes It - FireTail Blog
Sep 11, 2026 - Ayush Sethi - What your workforce's AI prompts reveal in aggregate Most AI security controls judge one prompt at a time. We built Topics to read the layer above them, where a workforce's prompts add up into a pattern that no single message shows.Someone in your legal team pastes a contract that is still under negotiation into an AI tool and asks it to flag any clauses that put you at a disadvantage. To every control watching that message, it is a document question. There is no PII
5 Best All-in-One Security Compliance Platforms for 2026
Discover the best security compliance software for simplifying audits, managing frameworks, and scaling compliance. The post 5 Best All-in-One Security Compliance Platforms for 2026 appeared first on Scytale.
How to Evaluate AI Governance Software in 2026
Six vendors, six spreadsheets, every box green—and the matrix still can't tell you which platform actually discovers shadow AI. Evaluate against your real obligations instead, across the six dimensions that separate platforms from pitch decks.
AI SRE Agent Prompt Injection: Kubernetes Ransomware Attack
See how poisoned OpenTelemetry telemetry manipulated an AI SRE agent into deploying a privileged Kubernetes container, escaping to an EKS host, and executing ransomware.
Principle of Least Privilege: Meaning, Examples, and Implementation for AI Agents
Understand the principle of least privilege, its access control model, real-world examples, and how enterprises implement least privilege for securing AI agents, sensitive data, and modern applications. The post Principle of Least Privilege: Meaning, Examples, and Implementation for AI Agents appeared first on Protecto.
Why Is a Reranker Needed in RAG If We Have a Retriever?
Enterprise RAG pipelines have two stages recall and precision. The retriever handles recall. The reranker handles precision. Skipping the reranker, or misplacing security controls around it, is where most accuracy and data exposure problems begin. The post Why Is a Reranker Needed in RAG If We Have a Retriever? appeared first on Protecto.
What Is Private AI and Does Your Business Need It?
As enterprises move generative AI from experimentation into everyday operations, the question is no longer whether to use AI, but where and how AI should operate. Private AI provides organizations with greater control over their data, models, access, and governance while still delivering the benefits of generative AI. This guide explains what private AI is, how it differs from public AI, and what enterprises should consider when choosing a private AI platform.
The CISO’s Guide to Securing Agentic AI and MCP
In today's rapidly evolving landscape of agentic AI, traditional security measures fall short. The CISO's Guide to Securing Agentic AI and MCP reveals the critical need for innovative strategies that go beyond mere output monitoring. Discover how to enforce least-privilege access, control MCP server interactions, and ensure accountability when autonomous agents act. With insights from Trust3 AI's Unified Trust Layer, this guide equips security leaders with the tools to navigate the complexities
AI Tools for Investigating Impossible Travel Alerts and Anomalous Logins | Prophet Security
A practitioner comparison of AI tools for investigating impossible travel alerts and anomalous logins, grouped by how far each tier of tool carries a case toward a verdict.
Can Your Agents Commit? How Do You Enforce Conditions on an Accounts Payable Agent?”
Governing Agent Transactions, A series on governing autonomous agents inside the systems that run the business. In the first post in this series, I described several agents being piloted right now — an invoice agent, a claims agent, a credit agent, a sales agent, an expense agent, a vendor payment agent, a contract agent. Different systems of record, different domains. Same underlying shape: an action with a real, binding consequence, and a condition that defines what the agent is allowed to do
Trust3 AI vs. Zenity: Choosing the Right AI Agent Security and Governance Platform
AI agents are running in production across enterprise stacks right now — and nearly half of them are unsecured. The Gravitee State of AI Security and Agent Security report from April 2026 puts the number at 48%. That is not a projection. It reflects what is already deployed. Both Trust3 AI and Zenity exist to […] The post Trust3 AI vs. Zenity: Choosing the Right AI Agent Security and Governance Platform appeared first on Trust3 AI.
AI Agent Runtime Security: Closing the Execution Gap | Straiker
Learn how AI agent runtime security uses context to protect tool calls, MCP servers, Skills, APIs, and agent actions, securing agents before they create impact.