AI velocity vs. security certainty AI is generating code faster than security teams can realistically verify it. Most organizations respond by adding more scanners and automation. If the underlying signals are noisy or wrong, you are not improving security, you are simply automating risk. Decision-grade security for AI-accelerated delivery requires more than “severity labels.” You need to know: 🎯 Which findings are real vs. spurious 🎯 Which are environmentally relevant vs. theoretical 🎯 Which are worth fixing now vs. economically irrational What fixing them changes (exposure reduction), not just “ticket closure” This is where an application security intelligence layer (e.g., CyberSagacity) becomes essential: it validates the signal and turns AI-amplified noise into defensible prioritization. If your delivery velocity doubled this year, what changed in your reporting: more findings, or more certainty? #CyberSecurity #CyberSagacity #AIvelocity #CyberRisk #SecurityGovernance #BoardRisk #EnterpriseRisk

🛡️ AGENTS ATTACKING AGENTS: THE NEW RED TEAMING TrojAI launched a major update to its enterprise security platform today, introducing "Agent-Led AI Red Teaming." Traditional security testing for AI is a manual, prompt-by-prompt process. TrojAI is flipping the script by using coordinated autonomous agents to conduct red team testing on other AI systems. These specialized "attacker" agents can orchestrate multi-turn attacks, retain memory of what worked, and adapt their strategies in real-time. As we move from simple chatbots to "Agentic" enterprises, where AI performs multi-step workflows, we need security tools that can operate at the same speed and complexity. The focus is moving beyond the "prompt layer" and into the "workflow layer." Will autonomous security agents become a mandatory requirement for any enterprise AI deployment? #TrojAI #AISecurity #RedTeaming #CyberSecurity #AgenticEnterprise

AI agents are inside enterprise systems right now, and most security teams have no idea what they're actually doing. Companies are letting autonomous software read data, make decisions, and execute tasks across internal platforms at a scale that's moving faster than anyone anticipated. The problem is that the security models built to protect those environments were designed for humans and traditional software, not for agents operating independently at machine speed. That gap is exactly where attackers will go next. When an AI agent holds access to internal systems and has the authority to act on its own, the attack surface looks completely different from anything security teams have trained for. Governance and policy controls are nowhere near where they need to be to keep up. For anyone in cybersecurity right now, understanding how AI agents work, what access they hold, and how they can be manipulated is becoming a core skill fast. This isn't a future problem to get around to eventually. Are you seeing AI agents come up in your organization's security conversations yet? #CyberSecurity #AIAgents #InfoSec #EmergingThreats #SecurityTrends

🔍 Ready to transform your cybersecurity workflow? 🤖Most people don't know this, but you can create advanced AI agents to automate and safeguard your systems effortlessly. Here's what changed everything for me:⚙️ Establish your CAI environment🛡️ Create both base and advanced agents🤝 Implement multi-agent handoffs✨ Use function tools and input guardrails🔄 Hierarchical delegation and dynamic function toolsImagine solving complex CTF pipelines with ease! Each step in your security process can be automated for peak efficiency 💪Curious about integrating such groundbreaking solutions into your workflow?Check out the full tutorial and take your cybersecurity to the next level: https://lnkd.in/eUHAnBxZ are you currently leveraging AI in your security operations? 🤔 Let's discuss! #BusinessAutomation #WorkflowAutomation #NoCode #Cybersecurity #AI #Efficiency https://lnkd.in/eH_VSMM9

AI is everywhere right now but the real value comes from how businesses actually apply it. Many organizations think of AI as a future initiative, but there are several practical ways companies are already using it today to drive efficiency and better decision-making. In this article, we highlight a few industry-agnostic ways AI can add value, including: • Forecasting and scenario planning • Real-time dashboards for better visibility • Automating routine accounting tasks • Content generation to jumpstart ideas • Strengthening cybersecurity monitoring One important takeaway: AI works best when it’s tailored to your organization’s data, processes, and technology ecosystem; not just implemented as a standalone tool. If you’re exploring where AI might fit into your business strategy, this is a good place to start. Read the full article here: https://okt.to/43Np0c #ArtificialIntelligence #AIinBusiness #CyberSecurity #TechnologyLeadership

Agentic AI is autonomous, proactive, specialized, adaptable, and intuitive — exactly what makes it so powerful. It can simplify workflows, improve productivity, and make life easier. But like any technology built to enhance human comfort and capability, it also introduces new risks. To build safe and reliable agentic AI systems, we need to pay close attention to the evolving threat landscape, including: • Prompt injection • Tool and API manipulation • Data poisoning • Memory poisoning • Privilege compromise • Authentication and access control spoofing • Remote code execution (RCE) attacks • Cascading failures and resource overload The future of agentic AI will depend not only on what these systems can do, but on how securely and responsibly we build them. #Cybersecurity #AIinSecurity #SecurityOperations #CISO #RiskManagement

🚨 Suzu Labs secured 4 major Global InfoSec Awards in 2026, reflecting a 45% year-over-year growth in adoption of their AI-driven cybersecurity solutions worldwide. 📊 The awards recognized Suzu Labs for innovations in autonomous threat detection, AI-powered incident response automation, cloud-native security, and next-gen malware analytics. Customers reported a 38% reduction in mean time to detect (MTTD) and a 31% decrease in incident containment times after deploying Suzu’s platform. Additionally, Suzu’s AI analytics engine processes over 2 billion events daily, enabling predictive threat hunting that improved proactive detections by 27%. 🔍 Suzu Labs’ AI-first architecture leverages machine learning to identify sophisticated attack vectors and zero-day exploits faster than traditional tools, empowering security teams with actionable intelligence. Their advancements demonstrate how integrating AI deeply into cybersecurity workflows enhances visibility, speed, and accuracy in threat mitigation. 💭 These four accolades underscore Suzu Labs’ leadership in the AI cybersecurity frontier, where automation and intelligence-driven defense are essential to counter increasingly complex threat landscapes. The numbers confirm AI’s pivotal role in accelerating cyber resilience in 2026 and beyond. #AIsecurity #ThreatIntelligence #IncidentResponse #CyberResilience #MachineLearning #CyberDefense #InfoSecAwards #Innovation #SecurityOperations #FutureOfCybersecurity source: https://lnkd.in/g78n2jSt

AI for Endpoint Security: What’s Changing in 2026 Endpoint security is evolving rapidly as threats become more sophisticated and harder to detect. Traditional antivirus tools relied heavily on known signatures, but modern security platforms are increasingly using AI and machine learning to identify suspicious behavior in real time. 1. Behavior-Based Threat Detection AI can analyze patterns in system behavior, processes, and network activity to detect threats that traditional signature-based tools might miss. This allows security platforms to identify previously unknown malware and suspicious activity faster. 🔗 Endpoint detection overview: https://lnkd.in/gVT5qMx3 2. Faster Incident Response and Containment Modern AI-powered endpoint tools can automatically isolate compromised devices, stop malicious processes, and alert security teams before threats spread across the network. 🔗 EDR explained: https://lnkd.in/gbrQ6-sD 3. Reduced Alert Fatigue for Security Teams AI helps prioritize alerts by filtering out false positives and highlighting high-risk activity. This allows IT and security teams to focus on the most critical incidents instead of chasing noise. 🔗 AI security fundamentals: https://lnkd.in/gd6Y24Ht By combining behavioral analytics, automation, and human expertise, modern endpoint protection platforms are becoming smarter and more effective. #endpointsecurity #cybersecurity #ai #edr #infosec #threatdetection #itsecurity #sysadmin #securityoperations #automation #machinelearning #cloudsecurity #techskills

Are you bolting on AI security after the fact? That's a dangerous game for your firm's reputation and your clients' data. Our new article reveals why CIOs must embed security protocols from the start. #AISecurity #CIO #RiskManagement

We’ve officially completed the first two sessions of ITSco's Executive Coffee Talk Series on AI Readiness. The goal was straightforward: give executives practical clarity on what “AI readiness” actually means inside a real organization, and what needs to be true before AI delivers measurable value. Small group. Closed discussion. Operator-led. No hype, no vendor pitch, just practical guidance. If you missed the AI Readiness sessions, no problem. We can share a sample of our AI Readiness Assessment so you can see the output and the kinds of gaps it surfaces across data, security, process, and governance. Comment or DM: AI Readiness Assessment and we’ll send it over. Next up in the Executive Coffee Talk series: ROI & Managed IT Services – April 14 and April 15 AI & Cybersecurity – May 19 and May 20 Cost Effective “Hot” Backup & Disaster Recovery – June 23 and June 24 If you are interested in attending one of the upcoming sessions, you can register here: https://lnkd.in/eVmK3VPX #ExecutiveCoffeeTalk #AIReadiness #ITLeadership #Cybersecurity #ManagedIT #DisasterRecovery #Operations #RiskManagement #CIO #COO