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Direct vs. indirect prompt injection, explained. A real enterprise story. Security controls, mapped out. #PromptInjection #AISecurity #Cybersecurity #LLMSecurity #SecurityControls #EnterpriseSecurity
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Adversaries don't need 0 days. They exploit low/medium vulnerabilities, misconfigurations, and gaps. Real compromise comes from chaining these small issues together. #CyberSecurity #VulnerabilityManag
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AI is advancing in coding, but it's also boosting offensive cyber capabilities. Labs are now calling for restricted releases and coordinated defenses. The same AI progress that drives economic value a
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AppSec pros know third-party integration risk: OAuth scope, supply chain trust, auditability, and incident management. It's about who has access within your trust boundary. #AppSec #Cybersecurity #Thi
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AI security isn't what you think. Prompt filters fail against memory poisoning & persistent injection. What's next? #AISecurity #PromptInjection #AIMemory #Cybersecurity #AIResearch #TechTrends #Futur
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MCP security: Installing untrusted software. MCP standardizes agent calls, tool discovery, and actions, boosting developer velocity. But tool metadata & permissions become security-relevant. Think IM
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Mastering memory: scoping, TTL, provenance tagging, and risk-based tiered systems. Unlock advanced efficiency. #MemoryManagement #TechTips #SoftwareEngineering #DevOps #DataStructures #Programming #Ad
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AI security failures aren't always bad JSON. They're valid actions taken with the wrong context, like prompt injection altering email recipients. Validation is crucial, but so is authorization. Policy
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MCPs sound safe, but risks abound: misleading descriptions, permission creep, protocol steering, and the confused deputy problem. It's all familiar AppSec and governance challenges with third-party in
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Prompt injection: AI agents' Achilles' heel. Attackers exploit Anthropic Claude, Gemini, Copilot to steal data or run rogue commands. A critical security flaw. #PromptInjection #AISecurity #Cybersecur
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Mythos matters. It's a frontier model advancement, a big signal. But the model isn't the solution; the harness is. Teams understanding this build working real-world systems. #AI #FrontierModel #TechAd
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AI safety isn't about saying it's safe. It's about declared capabilities, enforced policies, and auditable actions. Treat AI services like any other software: signed, pinned, and reviewed. #AISecurity
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About @dcam_ai

David Campbell is a Instagram nano influencer in the Engineering Service category. With 5.8K followers and 12 posts, dcam_ai's account shows a follower-to-following ratio of 28.1:1. View all content anonymously on Pictame - no login required.

dcam_ai's engagement rate sits at 0.04%. For accounts with 1K-10K followers, the average is around 5%, so there's some room to grow β€” though every community is unique.

Out of the last 12 posts, 100% are videos and 0% are photos. Content shows up about every 4 days. Captions lean moderate, averaging 293 characters.

0.04% engagement rate β€” room to grow compared to average for 1K-10K follower accounts.
Posts about every 4 days.
28.1:1 follower-to-following ratio.

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dcam_ai
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@dcam_ai

David Campbell

PublicEngineering Service
Posts
12
Followers
5.8K
Top Hashtags
#Cybersecurity#AISecurity#AI#PromptInjection#Tech#Governance#CyberSecurity#Security

Explore the most impactful hashtags used in recent posts. These tags highlight the core interests and trending topics that define this profile's digital influence and content strategy.

Following
205
Avg. Likes
2
Avg. Comments
0
Engagement
0.03%

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