How to Measure AI Agent ROI: A Framework for Cost, Usage, and Value (2026)
Learn how to measure AI agent ROI in 2026 with a practical framework for tracking costs, usage, productivity, performance, and business value.
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.
Learn how to measure AI agent ROI in 2026 with a practical framework for tracking costs, usage, productivity, performance, and business value.
Learn how to attribute AI costs to teams, users, and agents in 2026 with usage tracking, cost allocation, token monitoring, and clear chargeback strategies.
Compare the best agent management platforms in 2026, evaluating features, pricing, observability, governance, integrations, and scalability for AI agent teams.
Think of MCP as the shipping container of enterprise AI. Before standardized containers, every port improvised its own way of loading cargo, and every route carried its own risks. Once the container arrived, global trade moved faster, but customs, inspection, and chain of custody had to catch up. MCP is doing the same thing for... Read more » The post What is the Model Context Protocol (MCP)? appeared first on WitnessAI.
Three essays from November 2024, republished with their original dates — the genome from which Vijil grew.
A question we are asked often: at what point does it make sense to upgrade to a control plane for your AI agent?
A sales operations analyst on your team is buried in manual data entry. The IT queue is three weeks deep. […] The post Why Your IT-Security Model Needs an Update for the Agentic Era appeared first on JumpCloud.
AI agent observability tells you what an agent did. It rarely tells you what data the agent touched. Here's the blind spot most platforms miss, and how to close it.
Read this guide to learn what ISO/IEC 42001 is, why it matters, how to implement it, and common mistakes to avoid during implementation.
Compare the best AI SPM tools for securing AI systems, managing data risk, and enforcing controls across cloud and SaaS environments.
How Infoblox uses its own DNS security platform to govern access to generative AI services across the enterprise What Problem Are We Solving? The rapid growth of AI, generative AI and chatbot platforms has created new security and governance challenges. While these tools can improve productivity, unmanaged access introduces risks including data leakage, intellectual property […] The post Using Infoblox Threat Defense™ to Control AI Access appeared first on Infoblox Blog.
Courts sentence Com member for sextorting 117 minors, joint advisory warns of Gunra ransomware, and ShieldBreak bypasses MS Defender for SYSTEM access.
A background comment about pizza exposed a failure that Uber’s offline evaluations had missed. The incident helped reveal what production AI agent evaluation actually requires: automatic tracing, living datasets, shared ownership, and a direct connection to product decisions. The post How Uber evaluates AI agents at production scale appeared first on Arize AI.
From Enterprise AI Weekly, recorded 14 August 2026. On Tuesday I said compute gets more expensive from here and that the falling price per token […] The post The Cache Tax: Where DeepSeek’s Price Increase Is Concentrated appeared first on Olakai.
An autonomous agent proved something last month that was previously theoretical: credential-valid, signature-free attacks now move faster than the SOC stacks built to catch them. This is not a story about one lab, one benchmark, or one unlucky target. It is a preview of what every enterprise now has running inside its own walls in […]
Powering cost investigation and optimization with deep cloud context
Robot manufacturers face distinct FCC Covered List, the EU Cyber Resilience Act (CRA), and IEC 62443 requirements. Learn how shared security workflows can support readiness across all three.
Compare the top AI governance platforms for 2026 and find the right solution for your AI compliance needs. The post Top 7 AI Governance Platforms in 2026 appeared first on Scytale.
AI is changing the context around data risk, making it critical to understand what’s connected, what’s exposed, and why.
Security research reveals how indirect prompt injection in a malicious email caused an AI agent to hide commands, steal SSH keys, and fool its user.
As cyberthreats continue to evolve, so does the need to inspire and equip the next generation of cybersecurity professionals. At Cyber Battle Australia, students did more than compete, they stepped into a real-world cybersecurity environment designed to challenge their thinking, sharpen their skills and open doors to future careers. The Capture the Flag (CTF) style […] The post Infoblox Supports the Next Generation of Cyber Talent at Cyber Battle Australia appeared first on Infoblox Blog.
A practitioner's guide to AI threat hunting: what an AI threat hunter does, which hunts run and why, and what changes for a team that hunts continuously.
Stop maintaining playbooks. We rank the Top SOAR Platforms of 2026 and how to start looking beyond legacy SOAR to Agentic AI.
Encryption remains one of the most important foundations of PII protection. However, as organizations increasingly analyze, share, and use sensitive data, encryption alone does not address the challenge of protecting data while it is actively being processed.  In reality, encryption only protects sensitive data until someone needs to use it. Every time personally identifiable information... The post PII Protection: How Regulated Industries Safeguard Sensitive Data at Every Stage appeared fi
Security operations face evolving challenges, from ransomware to skills shortages. Learn the difference between SOC analysts challenges and SOC manager challenges
Part one of this series examined recent incidents where AI agents pursued assigned goals without the judgment to recognize when they had crossed a boundary—and there was often no control in place to stop the action in time. The risk begins when an agent can complete its action before a person can intervene. This post covers why resilience must cover that gap. Nobody told Claude Opus 5 to lie to its suppliers. Yet in a recent Vending-Bench Arena test, it invented rival price quotes, entered a pri
Aug 17, 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
Employee data subject requests can span HR, IT, Security, Legal, and Privacy systems. A repeatable process helps organizations respond accurately, on time, and with trust. The post When an Employee Asks, “What Data Do You Have About Me?” appeared first on RadarFirst.
Securely integrate Pi with MCP tools using Arcade. Eliminate hardcoded API keys by using a remote action runtime for dynamic OAuth execution.
Role-based access control is live in Arcade.dev. Assign org admins, project admins, and members to protect shared infrastructure as you scale agents.
A practical playbook for investigating GitHub token compromise, drawn from Wiz CIRT's response to a coordinated multi-organization campaign.
As enterprise AI transitions from simple chat interfaces to autonomous, tool-using agents, connecting these agents to internal databases and APIs introduces severe security risks. Enter the Model Context Protocol (MCP) Gateway—a crucial governance layer that secures, audits, and policy-enforces every data interaction between AI models and enterprise systems.
An old domain is not always old trust. Dropcatch activity gives previously registered domains a second life, sometimes under very different ownership. Infoblox Threat Intel | Dropcatch series | Part 1 of 3 Executive Summary Every day, tens of thousands of domain names expire and become available for registration. Some fade away and are never […] The post Drop Something? Don’t Worry, Someone Caught it appeared first on Infoblox Blog.
Today we are announcing the signing of a definitive agreement for the acquisition of Arize by Dynatrace to accelerate our mission to make the world's AI work. The post Arize and Dynatrace: Making the World’s AI Work appeared first on Arize AI.
Learn how AI TPRM automates third-party risk management, strengthens vendor oversight, and reduces manual effort. The post AI TPRM: How AI Is Transforming Third-Party Risk Management appeared first on Scytale.
Guardrails constrain what an agent can do in code; evals judge whether it performed well. Learn how both layers—and the harness around them—make long-running AI agents reliable. The post AI agent guardrails vs. evals: How to build more reliable agent systems appeared first on Arize AI.
What does the future of internal audit look like? The future of internal audit is continuous, connected, and predictive. Instead of running annual audit plans and reporting on what already went wrong, internal audit teams are shifting toward real-time risk monitoring inside an integrated risk ecosystem: one shared environment where audit, risk, and compliance data […] The post Internal Audit’s Future: Why Continuous Risk Insight Beats Annual Reviews appeared first on Archer.
A deterministic decision point outside the model, in the live path, that decides before every action executes: that's the TLDR of every mitigation in the 2026 OWASP LLM Top 10. Excessive Agency jumped from rank 6 to rank 3, checked for the first time against 7,714 real incidents instead of a practitioner vote alone. Read the mitigations, not the ranks, and they all converge on one prescription: mediate everything.
Explore Scytale’s latest ROPA update, simplifying privacy compliance with guided workflows and automated evidence mapping. The post Building Your Record of Processing Activities Directly in Scytale appeared first on Scytale.