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9 Best AI Penetration Testing Companies for Enterprise Security Teams

9 Best AI Penetration Testing Companies for Enterprise Security Teams

Oct 5, 2026 By OpsMatters In OpsMatters
Enterprise security teams know the value of penetration testing. The problem is the schedule. A large organization may run hundreds of web applications, thousands of API endpoints, mobile apps, AI features, and a sprawling external attack surface, and much of it changes every week. An annual or quarterly pentest examines a snapshot of that environment, produces a report weeks later, and leaves most of the year untested.
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Block AI Agent Regressions Before They Ship | SAO Pre-Push Eval Gate Demo

Oct 3, 2026 By Splunk In Splunk
Every engineering team has unit tests. They tell you the code still works. They tell you nothing about what the model started saying. This demo wires a single eval gate script into a git pre-push hook, so Splunk Agent Observability scores every agent's output before the push is allowed through. Luna, an on-premise small language model, runs as a synchronous judge against fixed thresholds. Fail one, and the push is blocked.
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Steer, Block and Audit Agent Behavior from One Place | SAO Agent Control Demo Cisco Agent Control

Oct 3, 2026 By Splunk In Splunk
Most teams keep an agent from regressing by hardcoding checks into its logic, an if-statement here, a regex there. Every new rule then becomes a code change, a review, and a deploy, and the person who spots the problem in production is rarely the person who can ship the fix. Agent Control moves those rules out of the code and into one hub. Steer, block, and validate agent behavior in real time, with rules any team member can update without touching the codebase.
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Agentic AI or CLM Compliance? A Buying Test for Financial Services

Agentic AI or CLM Compliance? A Buying Test for Financial Services

Oct 3, 2026 By OpsMatters In OpsMatters
Consider a hypothetical bank negotiating a technology supplier agreement. An AI agent spots a change to the audit-rights clause, proposes replacement language and prepares the contract for approval. The review looks faster. Then someone asks which policy version the agent used, whether the replacement was approved, and what prevents the unsigned draft from becoming the operational record. Those questions should shape the buying decision.
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tigera

HIPAA Wasn't Written for AI Agents. It Applies to Them Anyway

Oct 2, 2026 By Alister Baroi In Tigera
In short, healthcare is adopting AI agents faster than almost any other industry. More than 85% of Epic’s customers already use Epic AI, Epic’s Agent Factory will let every health system build agents of its own from 2027, and 43% of health systems were piloting agentic AI at the start of this year.
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Prove Your SLAs: How Yext Ties Synthetic Monitoring to SLOs with Checkly (Live-Webinar)

Oct 2, 2026 By Checkly In Checkly
Yext uses synthetic monitoring to prove and meet SLAs, by tying Checkly checks directly to SLOs and user-facing SLIs. Stefan (Developer Relations), Braxton (Solutions), and Shikhar (Engineering Productivity at Yext) cover the SLA/SLO/SLI basics, the math behind "all these nines", and how Yext turns those targets into concrete checks with monitoring as code.
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megaport

Building Production-ready AI Infrastructure? Start With the Network

Oct 2, 2026 By Kevin Dresser In Megaport
AI workloads depend on fast, secure, and scalable access to data across on-premises systems, colocation, cloud platforms, and GPU environments. Here’s how private connectivity can help enterprises move from AI proof of concept to production-ready infrastructure. AI pilots tend to be forgiving. Production isn’t. In the early stages, a team can usually get by with a simple path into a GPU environment, enough bandwidth to test an idea, and a security model that suits a limited group of users.
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