Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

What to Look for in an AI Security Platform for Enterprise Deployment

The enterprise AI security market in 2026 is crowded and confusing. Vendors that built their products to use AI for cybersecurity operations now market themselves alongside vendors that built their products to secure AI systems and govern AI usage. These are fundamentally different product categories solving different problems, and conflating them leads to evaluation errors that leave organizations protected against external threats but exposed to the risks their own AI systems introduce. ‍

The 2026 AI SOC Roadmap: Where SOC Teams Are Headed and How to Get There

Every conversation our team has with security leaders begins the same way. Nobody is backing off on AI in the SOC. The direction of the lean is what’s shifting. Torq’s 2026 AI SOC Leadership Report surveyed more than 450 CISOs and SOC leaders. The data confirms what those conversations were already telling me. We’ve left the adoption phase. The market is now in the architecture phase and the implications for how teams plan, buy, and build are significant.

Understanding the Importance of MCP Security

AI agents are moving from experiments into production workflows, and the Model Context Protocol (MCP) is becoming the connective layer that enables those agents to access enterprise data, applications, APIs, repositories, and automation tools. That makes MCP powerful, but also security-critical. As organizations adopt agentic AI, they need to understand not only how MCP improves connectivity but also how it creates new visibility, governance, and attack-surface challenges.

How Anthropic's Claude Mythos Escaped a Secure Environment and What It Means for SMBs

SecuritySenses and BCA, an IT services company in Spokane, team together to help small and midsize businesses turn frontier-AI security news into controls they can actually implement. During an internal evaluation, Anthropic gave Claude Mythos Preview access to a restricted computer and instructed it to find a way out. The model discovered a weakness, bypassed its technical restrictions and contacted the researcher overseeing the test.

Oracle Just Shipped 1,449 Security Patches in One Quarter. We Checked How Much of It Is Actually New.

Oracle's July 2026 Critical Patch Update (CPU) is nearly three times larger than any release in the company's history. To understand it, we parsed all 23 of Oracle's quarterly advisories going back to 2021, matched them against the official CVE record, and compared Oracle against eight other major vendors. We set out to answer three questions: How much of this is genuinely new? Does it really reflect AI-accelerated patching? And how unusual is it?

Why Continuous Attestation Is Critical in the AI Coding Era

In the age of AI coding, annual audits and snapshots are no longer enough. Discover **Continuous Attestation** — the practice of producing ongoing, verifiable evidence that your applications and pipelines are always running in a trusted, policy-conformant state. In this video, Anthony Barkley, Chief Strategy Officer at Veracode, explains why independence in attestation is critical for earning trust from regulators, customers, and boards — especially when AI agents are writing code.

Ep. 65 - "Months, Not Years": The Five Eyes AI Warning and Your Security Program

On June 22, 2026, the heads of all six Five Eyes cyber agencies — GCHQ, CISA, the NSA, ASD, the Canadian Centre, and New Zealand's GCSB — signed a rare joint statement: AI has rewritten the cyber risk timeline, and it's months, not years. Host Tova Dvorin and offensive security expert Adrian Culley unpack why AI is collapsing the window between vulnerability and exploit, why "having controls" isn't the same as proven controls, and why legacy systems are now strategic liabilities for the board, not the IT team. A clear-eyed look at validation, assumed breach, and what CISOs should do Monday morning.

Ep. 68 - Why OWASP's AIVSS Scores Agentic AI at Maximum Risk

OWASP just shipped AIVSS — an entirely new vulnerability scoring methodology built for autonomous AI agents, where a compromised orchestrator can score a perfect 10. Host Tova Dvorin and Adrian break down the "amplification principle": why a 2.1 CVSS finding becomes a 7.1 in the wrong agent, how persistent memory and broad tool access expand every blast radius, and what EchoLeak-style attacks already mean for real deployments. Plus where adversarial exposure validation and SafeBreach's agentic AI coverage fit in.