Security Boulevard

Founders raise venture money to extend runway. Then they leave six figures of free credits sitting in a portal they never logged into. After watching this happen for a decade, I built a public directory of every major program. Here's what I learned mapping the landscape.

The post I Mapped Every Major Startup Credit Program for 2026. Most Founders Are Leaving $500K+ on the Table appeared first on Security Boulevard.

Author, Creator & Presenter: Scott Behrens, Principal Security Engineer At Netflix & Justice Cassel, Application & GenAI Security At Netflix,

Our thanks to [un]prompted for publishing their Creators, Authors and Presenter’s outstanding [un]prompted 2026 AI Security Practitioner content on the Organizations' YouTube Channel.

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The post [un]prompted 2026 – Source to Sink: Improving LLM Vuln Discovery appeared first on Security Boulevard.

Are Your AI Deployments Quantum-Resistant? How to Protect Against Future Cyberattacks

The post Are Your AI Deployments Quantum-Resistant? How to Protect Against Future Cyberattacks appeared first on Security Boulevard.

Web application testing with Burp Suite: a practical guide for UK SMEs For many UK SMEs, web applications are now part of day-to-day business. They handle customer logins, staff portals, booking systems, supplier access, and internal admin tasks. That makes them valuable, but it also means they deserve regular security attention. Burp Suite is a […]

The post Web application testing with Burp Suite: a practical guide for UK SMEs appeared first on Clear Path Security Ltd.

The post Web application testing with Burp Suite: a practical guide for UK SMEs appeared first on Security Boulevard.

The financial services ecosystem in India is undergoing rapid digital transformation, and fintech organizations sit at the center of this evolution. With increasing cyber threats targeting digital payments, lending platforms, and financial data, regulatory oversight has intensified. The Reserve Bank of India mandates a strong RBI cybersecurity framework that fintechs must follow to ensure resilience, […]

The post RBI Cybersecurity Compliance Checklist for Fintech Organizations appeared first on Kratikal Blogs.

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A pair of tightly executed cyberattacks have become milestones in cryptocurrency theft in 2026 due to their sheer size. These two incidents, targeting Drift Protocol and KelpDAO, account for roughly three quarters of all recorded crypto losses through April, revealing a shift toward fewer, higher-dollar operations. Based on a report from TRM Labs, security researchers..

The post North Korea’s Enormous Crypto Hacks Redefine Scale and Strategy appeared first on Security Boulevard.

Author, Creator & Presenter: Srajan Gupta, Senior Security Engineer At Dave

Our thanks to [un]prompted for publishing their Creators, Authors and Presenter’s outstanding [un]prompted 2026 AI Security Practitioner content on the Organizations' YouTube Channel.

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The post [un]prompted 2026 – Injecting Security Context During Vibe Coding appeared first on Security Boulevard.

In the past week, the global cyber threat landscape has once again demonstrated how rapidly attackers are evolving shifting from isolated intrusions to coordinated, multi-stage campaigns targeting identities, supply chains, and service providers. From large-scale identity data exposure to sophisticated token abuse and ransomware-driven disruptions, these incidents highlight a critical reality: attackers are increasingly exploiting

The post Global Cyber Threat Brief: Identity Breaches, Supply Chain Attacks, and the Rise of Organized Cybercrime appeared first on Seceon Inc.

The post Global Cyber Threat Brief: Identity Breaches, Supply Chain Attacks, and the Rise of Organized Cybercrime appeared first on Security Boulevard.

The paradox of edge security describes how technologies designed to strengthen network defenses can also create new vulnerabilities. Edge devices improve performance and support localized threat detection by processing data closer to its source, yet modern enterprise environments often operate thousands of distributed endpoints. This rapid expansion of edge infrastructure increases the number of systems..

The post Addressing the Edge Security Paradox appeared first on Security Boulevard.

In today’s cyber threat landscape, attacks are no longer always loud or immediate. Many of the most damaging incidents begin quietly hidden within normal network activity, disguised as legitimate traffic, and evolving over time into full-scale compromises. Modern security requires more than just detection; it requires context, behavioral intelligence, and early intervention. This article highlights

The post Invisible Threats Within: Detecting Botnet Activity and Data Exfiltration Before It’s Too Late appeared first on Seceon Inc.

The post Invisible Threats Within: Detecting Botnet Activity and Data Exfiltration Before It’s Too Late appeared first on Security Boulevard.

AI models weight trust signals differently in cybersecurity. A comprehensive framework for building entity authority as a security vendor, covering third-party corroboration, author entities, community presence, research credibility, & authority flywheel that compounds citation share.

The post Building Entity Authority in Cybersecurity: The Trust Signals AI Models Actually Weight for Security Vendors appeared first on Security Boulevard.

via the comic artistry and dry wit of Randall Munroe, creator of XKCD

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For years, Identity and Access Management (IAM) and Privileged Access Management (PAM) have been treated as foundational and a solved security challenge. Organizations deployed vaults, enforced policies, and checked the compliance box for their privileged users.  Fast forward to today, and that model no longer holds up.    What’s emerging now is not an incremental shift, but a structural one. Identity is no longer centered on […]

The post Time to Rethink Privileged Access for Machines and AI Agents appeared first on 12Port.

The post Time to Rethink Privileged Access for Machines and AI Agents appeared first on Security Boulevard.

In Part 1 of this piece, I described what agentic AI attacks actually look like in practice; the digital factory model, where agents commit fraud, and the three properties that make agentic AI attackers categorically different from traditional bot tooling: autonomous iteration, session-to-session learning, and identity spoofing at the interaction layer. Now I want to … Continued

The post The Agentic AI Security Category Is Converging on the Wrong Answer appeared first on Security Boulevard.

Author, Creator & Presenter: Jackson Reed, Founder & CEO,Barding Defense

Our thanks to [un]prompted for publishing their Creators, Authors and Presenter’s outstanding [un]prompted 2026 AI Security Practitioner content on the Organizations' YouTube Channel.

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The post [un]prompted 2026 – Are You Thinking What I’m Thinking? appeared first on Security Boulevard.

Discover three SSRF sinks. A security gate built to
stop them. And a nesting trick that walks right past it.

The post How Escape AI Pentesting Exploited SSRF in LiteLLM appeared first on Security Boulevard.

The Future of AI Defense: Implementing Quantum-Resistant Cryptography for MCP

The post The Future of AI Defense: Implementing Quantum-Resistant Cryptography for MCP appeared first on Security Boulevard.

Detecting a vulnerability is easy. Finding the person responsible for fixing it is where remediation programs often break down. See how Tenable Hexa AI uses MCP to connect your exposure data to your identity provider — automating the hunt for asset owners in seconds.

Key takeaways

1. The accountability gap is the real bottleneck. Finding a vulnerability is only a part of the battle — you must also know who is responsible for the asset. Every hour spent playing detective is another hour the system stays exposed.
2. Live identity context beats stale CMDB data. By linking Tenable Hexa AI to identity providers like Okta through MCP, you instantly find out an asset’s current owner — not who owned it the last time someone updated a spreadsheet.
3. Automated ownership discovery slashes MTTR and eliminates the “not my job” problem. When Tenable Hexa AI cross-references exposure data with identity data in a single workflow, tickets route themselves — turning hours of manual Slack triage into an instant hand-off.

In our first use case blog, we showed how Tenable Hexa AI can identify assets impacted by a supply chain attack like the Axios npm compromise. In our second post, we walked through how custom Tenable Hexa AI agents can automate patching at machine speed using Tenable Patch Management.

But there’s a step hiding between “we found the vulnerability” and “we deployed the fix” that quietly consumes more analyst hours than either of those activities: figuring out who actually owns the vulnerable asset. This post explains how to close that gap and accelerate vulnerability remediation using Tenable Hexa AI.

The Friday afternoon fire drill

Picture the scenario every security team knows by heart. It’s 4:45 p.m. on a Friday. A critical CVE drops. Your Tenable scan lights up 47 affected hosts across three business units. The IPs are real, the findings are accurate, the severity is clear — and nobody knows who owns half of these impacted assets.

The next two hours look the same as they always do: a flurry of Slack messages to #infra, #platform, #cloud-ops. “Is prod-api-17 yours?” “Who owns the subnet in us-east-1b?” “I think that was Maria’s team before the reorg.” By the time someone confirms ownership on the last host, half the team has logged off for the weekend, and the exploit window is still wide open.

This is the accountability gap: scanners see technical assets, identity providers see people, and configuration management databases (CMDBs) try to bridge the two, but the entries are usually months old — frozen at the moment the asset was provisioned, and most likely not updated when the owner changed teams, left the company, or handed off the service. The result is a security team forced to do detective work instead of remediation.

It’s not a niche problem, either. The Center for Internet Security’s CIS Critical Security Control 01 — the very first control on the list — calls out accurate inventory and ownership as the foundation every other control builds on. You can’t protect what you can’t attribute.

The fix: Live identity context, on demand

Tenable Hexa AI closes this gap by acting as the connective tissue between your exposure data and your identity source of truth. Tenable Hexa AI uses the Model Context Protocol (MCP) to orchestrate tasks between, for example, the Tenable One Exposure Management Platform on one side, and identity providers – such as Okta and Entra ID – and CMDBs like ServiceNow on the other.

This is the important distinction: Hexa AI isn’t just reading a static tag you populated six months ago. It’s issuing a live query against the identity provider at the moment you need the answer. Who currently owns this service account? Who provisioned this EC2 instance? Who is the on-call stakeholder for this application in PagerDuty? The answer you get from Tenable Hexa AI reflects today’s org chart, not last quarter’s.

By treating identity as a real-time data source rather than a point-in-time field on an asset, you skip the CMDB-rot problem entirely.

A practical workflow: From vulnerability finding to remediation owner in under a minute

Let’s walk through what this looks like end-to-end. The prompt is plain English; the orchestration happens underneath.

Step 1: Command Tenable Hexa AI with a natural language prompt

The workflow begins in Claude with a prompt like:

“Find the most critical VPR finding on each of the 5 most critical assets. query Okta to identify the most likely owner based on service-owner group membership, app admin assignment, and recent login activity. Route a ticket to that asset owner in the Test Jira project.”
 

 

Step 2: Tenable Hexa AI cross-references exposure data with identity data

The prompt triggers the Tenable Hexa AI agent to query Tenable for unassigned critical findings, filtered by Vulnerability Priority Rating (VPR), so you’re only resolving ownership for the findings that actually matter. For each affected asset, Hexa AI then calls the Okta MCP server to resolve ownership — looking at who holds admin-level access, who recently authenticated against the host, and who belongs to the owning group or application assignment.

This is the step that wrecks your Friday afternoon. Tenable Hexa AI does it in seconds, at scale, across every unassigned finding in the environment.
 

 

Step 3: Tenable Hexa AI assigns the owner and routes the ticket

Once the owner is identified, a ticket is opened in your system of record, such as Jira or ServiceNow, pre-filled with the finding detail, the VPR score, the affected host, and the person who can actually fix it.

To make sure this is trusted execution rather than blind automation, Hexa AI relies on Tenable’s Exposure Data Fabric — the unified layer that maps the relationships between vulnerabilities, identities, and assets across your environment. That context is what lets the agent distinguish between “the person who logged in once” and “the person who actually runs this service.” And as always, you can place human-in-the-loop (HITL) checkpoints wherever your change-management policy requires them — for example, requiring analyst sign-off before a ticket routes to a VP, or before ownership is rewritten on a tier-0 asset.
 

The NIST Cybersecurity Framework 2.0 (ID.AM-03) explicitly calls for organizations to prioritize resources based on business value and owner accountability. This workflow is how you meet that requirement operationally, not just on paper.

The operational payoff

What does this actually buy you?

• MTTR measured in minutes, not days. The administrative overhead between discovery and assignment collapses. The security team gets a head start against the attacker because the first person to see the ticket is the first person who can act on it.
• A culture shift inside IT and security. Clear, automated ownership eliminates the “it’s not my job” reflex. When the system says you own prod-api-17 and here’s the evidence trail from Okta, there’s nothing to argue about. Trust between the security team and the asset owners goes up, because nobody is getting tickets that belong to someone else.
• Compliance and reporting that write themselves. When your CISO or an auditor asks “who is responsible for our top 20 critical exposures?”, you can show them a live report instead of promising to chase it down. Ownership becomes a queryable attribute, not an archaeological dig.

The speed at which the right information reaches the right person is one of the strongest predictors of organizational stability and recovery performance. Automating ownership is how you raise that signal speed for your security program.

Scaling accountability for vulnerability remediation with agentic AI

The accountability gap isn’t a people problem — it’s an integration problem. Security teams have always known that asset ownership matters; now they have a clean, real-time way to resolve it at the speed modern threats demand. Tenable Hexa AI, together with MCP-based identity connectors, turns that resolution into a background function of the platform.

When every critical finding arrives pre-attributed to the right person, vulnerability management stops being a ticket-routing exercise and becomes what it was always supposed to be: a remediation function.

Ready to close your accountability gap?

Tenable Hexa AI is currently in private preview for select Tenable One customers. Contact your Tenable account team to join the private preview program.

Want to learn more? Download the Tenable Hexa AI data sheet to get the full technical breakdown of Tenable agentic AI capabilities, including the growing catalog of MCP integrations across identity, ticketing, and patching tools.

The post Vulnerability remediation: Match CVEs to asset owners in seconds with Tenable Hexa AI appeared first on Security Boulevard.

The post Meet Suraj Patil: Associate PM, Bowls Left, Bats Right appeared first on AI Security Automation.

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The post Autonomous SOC: The Evolution of Self-Driving Security Operations appeared first on AI Security Automation.

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