Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

11:11 systems

Unlocking AI's Potential: Network Trends and Challenges

Dec 23, 2025 By Brad Gerlach In 11:11 Systems
Artificial intelligence is no longer just an overused buzzword; it’s a fundamental shift in how businesses operate. The Architects of AI were just named as Time’s person of the year for 2025. From generative AI creating code to machine learning algorithms optimizing supply chains, the demand for AI is reshaping the technology landscape. But here’s the thing: all that computational power is useless if your data can’t move fast enough.
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A CISO's Honest Take on Regulation

Dec 23, 2025 By Cloudflare In Cloudflare
Cybercriminals don't care about borders. So why do we have 12 different regulatory frameworks for the same threat? Olivier Busolini, Group Head of Information Security at Mashreq Bank, voiced the frustration every global CISO feels: "In every country, I have 12 countries at Mashreq. In every country, there is a slightly different or sometimes vastly different requirement that I have to abide to.".
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cyberark

Vibe check your vibe code: Adding human judgment to AI-driven development

Dec 23, 2025 By Matt Barker In CyberArk
Remember when open meant visible? When a bug in open-source code left breadcrumbs you could audit? When you could trace commits, contributors, timestamps, even heated 2:13 a.m. debates on tabs versus spaces? That kind of openness created confidence in the code and made it possible to hold contributors accountable when issues arose. Today, as AI changes how code is created and shared, those familiar markers of trust and transparency are becoming harder to find.
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appknox

Ensuring API Testing Meets Compliance: Policies, Performance, and Proof

Dec 23, 2025 By Rucha Wele In Appknox
APIs sit at the center of modern applications. They move data between systems, power mobile apps, and enable integrations at scale. Naturally, they are also a focal point for regulators, auditors, and attackers. Most organizations today do test their APIs. Yet many still struggle during audits. Not because testing didn’t happen, but because it wasn’t consistent, governed, or provable. Compliance frameworks don’t ask whether you ran an API scan.
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Best Practices for Enterprise macOS Security: Tools, Techniques, and Detection Strategies

Best Practices for Enterprise macOS Security: Tools, Techniques, and Detection Strategies

Dec 23, 2025 By SecuritySenses In SecuritySenses
macOS data is increasingly targeted by hackers due to the sensitive information that Macs hold. Users require strong Mac cybersecurity measures to protect themselves from attacks. Combining Mac's built-in security features with third-party solutions provides hardened protection and continuous detection. Endpoint security for Mac best practices improve your enterprise macOS security. Implement secure configurations, effective device management, and real-time detection for advanced protection. Using a multi-protection strategy increases recovery speed and reduces the attack surface.
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Asymmetric Data: The New Challenge for API Security

Dec 22, 2025 By A10 Networks In A10 Networks
Asymmetric Data: The New Challenge for API Security In this A10 Networks video, "APIs are the Language of AI: Protecting Them is Critical," security experts Jamison Utter and Carlo Alpuerto discuss the unique challenges of securing AI-driven data exchanges. Unlike traditional API interactions—where a request for a video clearly results in a video—AI interactions are defined by a "phenomenal" level of asymmetry. A tiny text request can trigger a massive, unpredictable response, making traditional security prediction models nearly obsolete.
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Snyk

From Code to Agents: Proactively Securing AI-Native Apps with Cursor and Snyk

Dec 22, 2025 By Manoj Nair In Snyk
The rapid adoption of AI agents for development is creating a critical security gap. We are moving from predictable logic, deterministic code paths, and human-driven workflows to non-deterministic agents that reason, plan, and act autonomously using large language models across the broader software development lifecycle. As enterprises adopt these autonomous AI agents, the core challenge isn’t just the new risks and attack vectors; it’s a loss of runtime control.
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