Invariant Labs reveals 'Toxic Flows' AI vulnerabilities and TFA framework

HackerOne's report highlights 67% AI adoption in security testing, with PortSwigger's Burp AI leading among researchers, signaling a hybrid future for efficient, human-augmented pentesting - https://lnkd.in/gn4jkiHP Dafydd Stuttard, CEO and founder of PortSwigger, said: “HackerOne’s latest data validates what we’ve seen first-hand: AI helps testers reclaim hours per engagement and reinvest that time in the work that needs human attention." #AIAugmentedSecurity #WebSecurity #PortSwigger #CyberSecurity #TechInnovation #TechIntelPro

Traditional cybersecurity reacts to vulnerabilities. Evo anticipates them. The difference matters more than most companies realize. Snyk just launched something that changes the game entirely. Evo is their new AI agent system. It doesn't wait for threats to hit. It stops them before they form. Here's what makes this different: 🔍 Anticipates "toxic flow attacks" - new threats that exploit AI agent connections ⚡ Works at machine speed, not human speed 🎯 Uses specialized agents with focused capabilities 🔄 Operates like fighter pilot decision-making (observe, orient, decide, act) The old approach? Find the breach. Fix the breach. Repeat. The new approach? Stop the breach from happening. This matters because AI systems create new attack surfaces. Traditional tools can't keep up with AI-driven threats. Snyk's CEO calls this a "watershed moment." He's right. Security used to follow innovation. Now it needs to lead it. Evo works through natural language prompts. Security teams can command it like they would a human colleague. The system creates an AI Bill of Materials. It maps every AI asset. It governs model usage. It runs red team exercises automatically. This isn't just another security tool. It's a fundamental shift in how we think about protection. What happens when security becomes proactive instead of reactive? We're about to find out. #AISecuirty #Cybersecurity #Innovation 𝗦𝗼𝘂𝗿𝗰𝗲꞉ https://lnkd.in/gcxZDsXy

𝗧𝗵𝗲 𝗘𝗻𝗴𝗶𝗻𝗲𝗲𝗿'𝘀 𝗪𝗮𝗸𝗲-𝗨𝗽 𝗖𝗮𝗹𝗹! Your AI model's prompt is a security hole waiting to happen. We secure our APIs, sanitize our databases, and firewall our servers. But what about the prompt? In the world of LLMs, there's no boundary between "instructions" and "data." This is how your new AI assistant leaks its own system prompt, or how a malicious file in your RAG system turns into a "Trojan Horse" that pwns your bot from the inside. This isn't a future problem—it's a "right now" problem. 𝗣𝗿𝗼𝗺𝗽𝘁 𝗜𝗻𝗷𝗲𝗰𝘁𝗶𝗼𝗻 𝗶𝘀 𝘁𝗵𝗲 𝗻𝗲𝘄 𝗦𝗤𝗟 𝗜𝗻𝗷𝗲𝗰𝘁𝗶𝗼𝗻, and our old defenses are useless. I wrote a deep dive on this: 🔹 Why LLM01: Prompt Injection is the #1 threat on the OWASP list. 🔹 The "RAG Trojan Horse" attack (with a diagram) that bypasses user input filters. 🔹 A 3-layer engineering blueprint (using instructional fences) to actually defend your application. If you're an engineer or developer building with AI, you are now on the security team. This is the blueprint you need. Full Article: https://lnkd.in/dVYR47k5 #AI #LLM #Security #GenAI #PromptInjection #DevSecOps #Cybersecurity #RAG

Security tools wait for attacks to happen. Snyk's Evo does something different—it stops threats before code even exists. Traditional cybersecurity plays defense. It waits for vulnerabilities to surface. Then scrambles to patch them. Snyk just flipped the script. Their new Evo platform uses autonomous AI agents to predict and neutralize threats before they materialize. Think of it as having a security team that never sleeps and can see around corners. The timing matters. AI-driven attacks are getting more sophisticated: 🔍 Toxic flow attacks exploit trusted AI connections 🚨 Traditional tools miss AI-specific vulnerabilities ⚡ Threats combine infrastructure and AI risks Evo works like a fighter pilot's decision-making process. It observes, orients, decides, and acts continuously throughout the AI development lifecycle. The result? Security that moves at the speed of AI innovation. This isn't just another security tool. It's a fundamental shift from reactive to predictive protection. For organizations building AI-native applications, this could be game-changing. Security finally leads innovation instead of following it. What's your take on proactive vs reactive security approaches? #AISecurity #Cybersecurity #Innovation 𝗦𝗼𝘂𝗿𝗰𝗲꞉ https://lnkd.in/gcxZDsXy

Security tools wait for attacks to happen. Snyk's Evo does something different—it stops threats before code even exists. Traditional cybersecurity plays defense. It waits for vulnerabilities to surface. Then scrambles to patch them. Snyk just flipped the script. Their new Evo platform uses autonomous AI agents to predict and neutralize threats before they materialize. Think of it as having a security team that never sleeps and can see around corners. The timing matters. AI-driven attacks are getting more sophisticated: 🔍 Toxic flow attacks exploit trusted AI connections 🚨 Traditional tools miss AI-specific vulnerabilities ⚡ Threats combine infrastructure and AI risks Evo works like a fighter pilot's decision-making process. It observes, orients, decides, and acts continuously throughout the AI development lifecycle. The result? Security that moves at the speed of AI innovation. This isn't just another security tool. It's a fundamental shift from reactive to predictive protection. For organizations building AI-native applications, this could be game-changing. Security finally leads innovation instead of following it. What's your take on proactive vs reactive security approaches? #AISecurity #Cybersecurity #Innovation 𝗦𝗼𝘂𝗿𝗰𝗲꞉ https://lnkd.in/gcxZDsXy

Why Agentic AI Breaks Your Existing API Security? Agentic AI has changed the rules of application security. AI agents can now generate and execute thousands of complex API call sequences in milliseconds, far beyond what any human pen tester or traditional attacker could attempt. Existing defenses like rate limiting, WAFs, OWASP API Top-10 controls, and static API security policies were never designed for this scale or speed. They fail to detect when an agent, operating within “valid” workflows, starts abusing business logic to extract data, escalate privileges, or trigger unintended transactions. Business Logic Security is no longer optional but it’s essential to defend against AI-driven misuse and autonomous exploit chains. At AppSentinels, we help enterprises stay ahead of this new reality i.e. protecting applications not just from technical vulnerabilities, but also from intelligent, agent-speed business logic abuse in production. Our platform proactively identifies such vulnerabilities during shift-left testing by automatically generating thousands of stateful, multi-API, user-journey-specific test cases, executing them with both positive and negative parameters to uncover flaws before they can be exploited in production. #AppSentinels #BusinessLogicSecurity #APISecurity #AgenticAI #AISecurity #GenAI #Cybersecurity #DevSecOps

AI agents talk to each other constantly. Malicious prompts hide in those conversations. Evo listens to every exchange. Snyk just launched something revolutionary. Evo isn't your typical security tool. It doesn't wait for threats to hit. It predicts them. Stops them before they start. The problem? AI agents are chatty. They pass information back and forth constantly. Hackers slip toxic prompts into these conversations. Traditional security misses this entirely. Evo works differently: • Monitors every AI conversation • Spots malicious patterns before code gets written • Uses autonomous agents to neutralize threats • Operates at machine speed This addresses "toxic flow attacks" - a new threat where bad actors exploit trusted connections between AI systems. Think of it like having a security guard who can see around corners. While others react to break-ins, Evo stops thieves before they reach the door. The system uses principles from fighter pilot training. Observe, orient, decide, act. All happening continuously. For security teams, this changes everything. You're not chasing threats anymore. You're staying ahead of them. As AI becomes more autonomous, our security needs to match that intelligence. Evo represents that shift. Security that thinks, plans, and acts. What's your biggest concern with AI security in your organization? #AISecuriyTechnology #CyberSecurity #Innovation 𝗦𝗼𝘂𝗿𝗰𝗲꞉ https://lnkd.in/gcxZDsXy

AI-Driven API Penetration Testing: Test Business Logic, Not Just Endpoints Static scans and fuzzing won’t cut it anymore. What organizations need is continuous, context-aware penetration testing of entire business flows, not just a checklist of endpoints. That’s where the real vulnerabilities hide and that’s the stark difference between traditional testing and AI-driven approaches. Is your API pen-testing keeping pace with AI? Imagine having a platform that works like an army of pen-testers, 24x7. #AppSec #BusinessLogicSecurity #PenTesting #AI #CyberSecurity #DevSecOps #AppSentinels

📃 Collaborative penetration testing suite for emerging generative AI algorithms. New AI security suite tackles quantum threats! 🛡️ Over 300 vulnerabilities fixed, 70% high-severity issues reduced in 2 weeks! 🔒 https://lnkd.in/dyPT48fq

Exciting times await as enterprises leverage AI capabilities to enhance outcomes across their ecosystems. I found it interesting that the focus on unifying cybersecurity with AI safety is becoming critical in this evolving landscape. How are you addressing the challenges of AI safety in your organization?