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Remediation Agents, Demystified: Why Fixing Beats Finding

Aug 19, 2026 By Snyk Team In Snyk

Six new security issues for every one issue remediated. That's the ratio Snyk research has found, and it's why the AI Security Engineers Community gave an hour of livestream time to fixing rather than finding. Play Video: Remediation Agents Demystified: Your AI Teammate for Fixing Security Bugs Remediation Agents Demystified paired a fireside chat with a live demo.

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AI adoption and third-party risk implications: How to close the governance gap

Aug 19, 2026 By Vanta In Vanta

Accelerating security solutions for small businesses‍ Tagore offers strategic services to small businesses. A partnership that can scale‍ Tagore prioritized finding a managed compliance partner with an established product, dedicated support team, and rapid release rate. Standing out from competitors‍ Tagore's partnership with Vanta enhances its strategic focus and deepens client value, creating differentiation in a competitive market.

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We Had 13 Engineers Spend Three Months Finding Vulnerabilities with LLMs

Aug 19, 2026 By Rob Picard In Teleport

Blame for all flaws belongs to the flawed human author. Historically, the bottleneck for finding security bugs in software was human bandwidth. As pointed out in this great post by Tom Ptacek, it appears that large language models are exceptionally good at finding them with simple prompting. This adds substantial bandwidth to the effort of finding bugs.

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How to Choose a React Native Development Company for AI-Driven Mobile Projects

Aug 19, 2026 By SecuritySenses In SecuritySenses

AI-driven mobile apps grow more complex every month. The gap between a team that can actually ship one and a team that merely claims they can is wider than most product managers expect. Wrong hires cost you four to six months of rework on top of the initial build, a brutal, avoidable tax. So if you're planning a mobile product that uses machine learning, on-device inference, or real-time AI features, vendor selection deserves far more rigor than skimming a portfolio and firing off a request for proposal.

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Managing LLM Code Security at Scale with Hybrid SAST

Aug 18, 2026 By Pete Zavlaris In Veracode

The amount of code being generated in the era of AI is staggering, and some non-trivial percentage of that code is insecure. According to the 2026 GenAI Code Security Report, roughly 44% of AI generated code test produced a known vulnerability. Organizations are more reliant than ever on cybersecurity programs that can scale at the velocity of AI while still managing risk with guardrails, governance, and compliance standards.

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The EU AI Act's Missing Standards: What to Do Before They Arrive

Aug 18, 2026 By Kovrr In Kovrr

Organizations preparing for the EU AI Act keep asking which standard to certify against, and the honest answer is that the ones that will matter are not finished. No harmonized standard has been cited in the Official Journal, and nothing available today confers presumption of conformity with the Act's requirements for high-risk systems. ‍

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Multi-Agent AI Systems: When Separation of Duties Dissolves

Aug 18, 2026 By Kovrr In Kovrr

Every enterprise control framework assumes the entity that requests an action and the entity that approves it are different. Multi-agent workflows quietly dissolve that assumption. Three agents each holding modest, individually reasonable permissions can compose an action none of them was authorized to take, and no single permission grant looks wrong in a review. ‍ That is the distinguishing property of multi-agent systems rather than a harder version of single-agent risk.

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How to write an AI usage policy

Aug 18, 2026 By Acronis In Acronis

To write an AI usage policy, define its scope, list approved and prohibited tools, name the data types banned from prompts, write clear rules, align to recognized frameworks and set enforcement. A written policy is the decision layer; pairing it with technical controls is what turns those decisions into protection.

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Frontier AI Application Security: Every Second Counts

Aug 18, 2026 By Matan Libis In JFrog

Somewhere in the last few months, the math of application security quietly broke. Anthropic’s Claude Mythos Preview didn’t just analyze code, it found a 27-year-old vulnerability in OpenBSD, a 16-year-old bug in FFmpeg, and a 17-year-old remote code execution flaw in FreeBSD, entirely on its own. Then it went further: it built working exploits for them. No human guidance. No months of manual research. And by Anthropic’s own account, this is only a preview of what’s coming.

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How Businesses Can Adopt AI Tools Without Compromising Security

Aug 18, 2026 By SecuritySenses In SecuritySenses

Someone in marketing starts using an AI writing tool. A finance team member feeds spreadsheets into an AI summariser because it saves an hour every Friday. A manager wires up a chatbot to handle basic customer questions. None of it goes anywhere near IT first, and most businesses only find out after the fact, if they find out at all.

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