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The Agent Baseline: 35 controls, but where should you start?

Aug 12, 2026 By Krysztof Huszcza In Snyk

Two weeks ago, we published the Agent Baseline alongside Docker and Keycard. In it, we describe six security outcomes, 35 controls, and an open reference architecture for running AI agents at the enterprise level. Last week, we stress-tested it: we took it to a panel at Black Hat and spent about one hour being asked hard questions about it. Play Video: Snyk x Docker x Keycard | Agent Baseline Panel @ Black Hat 2026 The most useful question came from someone who had actually already read it.

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Smart AI Security. Full Data Control.

Aug 12, 2026 By Netskope In Netskope

AI agents move fast. Your data security should too. See how Netskope gives AI the guardrails it needs to innovate at speed without putting your data at risk.

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AI Agents & Cybersecurity: Why AI Agents Are New Trust Boundaries | A10 Networks

Aug 12, 2026 By A10 Networks In A10 Networks

AI Agents & Cybersecurity: Why AI Agents Are New Trust Boundaries AI agents are more than just another virtual machine—they are autonomous entities delegated with power, introducing entirely new trust boundaries into modern network architectures. In this discussion, A10's Arjoyita Roy and Jamison Utter discuss why traditional security controls fall short when managing AI agents and why cybersecurity professionals must design new security perimeters and controls around these evolving AI workloads.

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Why Securing AI Agents Is More Critical Than Ever

Aug 12, 2026 By Erich Kron In KnowBe4

AI agents offer unprecedented capabilities, speed, automation, deep context, and hyper-personalization, that will transform how we work. However, these same capabilities make AI agents significantly more dangerous than traditional software when hijacked by cybercriminals. You simply cannot rely on yesterday's risk management playbooks to handle today's AI-driven threats.

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AI Can't Do CTEM Alone (And Neither Can You)

Aug 12, 2026 By Megan Horner In Seemplicity

AI can meaningfully power Continuous Threat Exposure Management (CTEM), but only for specific stages of the cycle: prioritization, validation, and remediation routing. AI can’t replace the underlying data integration work, and it can’t turn CTEM into a single product, because Gartner defines CTEM as a continuous five-stage program (scoping, discovery, prioritization, validation, mobilization), not a tool you install.

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AI Security Posture Management: What It Covers and What It Misses

Aug 12, 2026 By Kovrr In Kovrr

AI Security Posture Management arrived as a term before it arrived as a definition. Vendors announced products under the label through 2025 and in volume at RSA Conference 2026, each describing a somewhat different scope, and buyers now evaluate a category whose boundaries depend on who is selling. The lineage is evident, since AI-SPM follows cloud and data security posture management, and the inherited assumptions are where the difficulty starts.

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Ep. 73 - EU AI Act-What Actually Lands on August 2nd, and What Slipped to 2027

Aug 12, 2026 By SafeBreach In SafeBreach

The EU AI Act's August 2nd, 2026 deadline just changed shape. Host Tova Dvorin and offensive security engineer Adrian Cully separate what actually lands—Article 50 transparency duties and GPAI enforcement powers—from the high-risk obligations that slipped to December 2027. Inside: Article 15 writes MITRE ATLAS and the OWASP LLM Top 10 into binding law, the DORA / NIS2 / AI Act overlap that makes one incident reportable three times, penalties up to 7% of global turnover, and the five things a CISO should do this week. Part 1 of 2.

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Top 10 AI Agents for Legal Research in 2026 (Case Law, Statutes and Drafting)

Aug 12, 2026 By SecuritySenses In SecuritySenses

Legal research rewards the tool that shows its sources, not the one that sounds most confident. The right pick turns less on brand than on whether your priority is model choice, case-law depth, or deployment security. The wrong platform hands you a fabricated citation, a confidential contract fed to a model that trains on it, or a bill for the wrong vendor's LLM. This guide ranks the ten agents US legal teams are shortlisting in 2026.

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How Can Scrum Masters Integrate AI Tools Effectively Into Daily Work?

Aug 12, 2026 By SecuritySenses In SecuritySenses

Scrum Masters help teams optimize workflow and improve product value. But with frequent business demands, priority shifts, and the rapid adoption of AI by companies, Scrum professionals need to integrate AI tools into their daily work to help enhance their team's productivity to the maximum. When you start your SSM certification journey with organizations like Simpliaxis, you can learn how to incorporate AI into the Scaled Agile Framework and lead Agile teams by becoming a certified SAFe Scrum Master licensed under Scaled Agile.

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