Cyber Threats in the Age of Agentic AI: How to Stay Ahead

Unlike traditional AI models that just flag anomalies, agentic AI systems act—they investigate, prioritize, and sometimes even remediate threats in real time. Think of them less like passive advisors and more like autonomous teammates who never tire. Here’s how 𝗔𝗴𝗲𝗻𝘁𝗶𝗰 𝗔𝗜 𝗿𝗲𝘀𝗵𝗮𝗽𝗲 𝗰𝘆𝗯𝗲𝗿𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝘁𝗼𝗱𝗮𝘆: 🔹 Incident response without the bottleneck – Instead of waiting on human analysts to sift through alerts, agentic AI triages and escalates only what truly matters. That’s hours (sometimes days) saved. 🔹 Adaptive defense at machine speed – Attackers pivot fast. Agentic AI doesn’t just react, it learns in context and adapts playbooks instantly—closing doors before attackers even realize they’re being blocked. 🔹 From detection to decision-making – Imagine an SOC where AI agents don’t just shout “problem!” but also suggest the best course of action—based on past incidents, risk appetite, and compliance requirements. McKinsey estimates that AI could reduce cybersecurity costs by up to 30% while improving response times by over 40%. That’s not hype—it’s a glimpse into a new operating model. But here’s the real kicker: agentic AI isn’t about replacing humans—it’s about freeing up talent to tackle the strategic, creative, and deeply human problems attackers can’t automate. The question isn’t whether agentic AI will transform cybersecurity. It already is. The real question is: how quickly will leaders embrace it? Let’s discuss with our managing partners Kulbeer Singh Sidhu (ksidhu@contivos.com) & Nathaniel Payne, PhD (裴内森) (n.payne@contivos.com) #Contivos #Cybersecurity #AI #AgenticAI #ThreatIntelligence #SOC #DigitalTrust #RiskManagement

🌐 AI Risk & Security: Why It Matters More Than Ever Artificial Intelligence is advancing faster than most security frameworks can keep up. While AI unlocks incredible opportunities, it also introduces serious risks: Data Privacy: Models can unintentionally memorize and leak sensitive data. Adversarial Attacks: Small manipulations in input can mislead AI into dangerous decisions. Model Theft & Abuse: Trained models can be stolen, repurposed, or weaponized. Compliance Gaps: Regulations like the EU AI Act are emerging, but many organizations still lack structured risk assessments. Building trust in AI means treating security as a first-class priority. Organizations must: ✔️ Integrate threat modeling into AI pipelines. ✔️ Adopt secure development practices for data, training, and deployment. ✔️ Continuously monitor for vulnerabilities and misuse. ✔️ Align with global standards for AI governance and compliance. AI is no longer experimental—it’s already influencing finance, healthcare, defense, and critical infrastructure. Strengthening its security is not optional, it’s essential. 🔒 Securing AI = Securing the future. #AISecurity #AIRisk #AICompliance #AITrust #CyberSecurity #AIAct #ResponsibleAI #AIForGood #AIGovernance #AIProtection #EthicalAI #AIRegulation #AIResilience #AdversarialAI #FutureOfAI

🚀 Most companies want to scale AI fast, but security fears keep them stuck in neutral. 😬 Sound familiar? Projects often start with big goals, then sit in limbo for months and sometimes a year or more while risk teams run endless assessments. By the time they go live, they’re capturing maybe 60–70% of AI’s full potential. And the stakes are high. In industries like 💰 finance, 🏥 healthcare, and ⚙️ manufacturing, a single data breach can cost millions not just in fines, but in lost trust and stalled innovation. That’s the hidden tax of unsecured AI adoption. When companies use Secure AIs, the story flips. They launch faster, cut risk by more than 90%, and 📈 typically see ROI within the first year. Security stops being a blocker and becomes a growth driver. If your organization is serious about AI transformation but security keeps slowing things down, this is exactly where you start. 👉 Check it out here: https://lnkd.in/eY9QNM-e #AI #Cybersecurity #DataSecurity #AIAdoption #EnterpriseAI #SecureAI #AITransformation #Innovation

I was only able to spend a few hours on Day 2 at TechEx, but in conversations with several key solution providers one theme came up repeatedly: data security. With the rapid evolution and scaling of GenAI applications, it’s clear this is becoming one of the most critical focus areas. Here are a few key takeaways I noted… 🔐 Why Data Security Is Now a Key Focus with the Rise of GenAI & AI Agents ? As GenAI and autonomous agents move into the enterprise, they bring powerful opportunities — but also new risks. Data security has become one of the most critical focus areas for decision makers. Here’s why: ⚡ New Threats – Prompt injection, model poisoning, malicious fine-tuning, and token misuse expand the attack surface. ⚡ Privacy & Leakage – Sensitive data fed into AI tools may be exposed or reproduced in outputs. ⚡ Compliance Pressures – Regulations like GDPR and the EU AI Act demand strict governance ( Tracablity ) and auditability. ⚡ Integrity & Trust – Biased or corrupted training data, plus hallucinations, erode confidence in AI outputs. ⚡ Scale & Automation – When embedded in business processes, small errors can cause exponential damage. ⚡ Governance & Ethics – Customers and regulators expect transparency, fairness, and responsible adoption. 👉 The message is clear: AI adoption cannot succeed without robust data security, governance, and trust frameworks. #GenAI #DataSecurity #AI #DigitalTransformation #Cybersecurity #TECHEX

Emerging AI Risks: Are you aware of those? Beyond traditional cybersecurity concerns, AI introduces a new generation of risks that every business leader should be aware of: 🔹 Hallucinations – AI can generate false or misleading information, undermining trust and decision-making. 🔹 Harmful content – Deepfakes, offensive or legally non-compliant material can be produced at scale. 🔹 Model theft – The illegal copying of AI models erodes competitive advantage and exposes sensitive data. 🔹 Prompt injection – Attackers manipulate AI prompts to trigger unintended or malicious outputs. 🔹 Data poisoning – Tampering with training data introduces vulnerabilities and biases into models. 🔹 Excessive agency – Giving AI too much autonomy can lead to unintended actions and security breaches. 🔹 Regulatory pressure – Non-compliance with frameworks likeGDPR, or the EU AI Act can result in heavy fines and operational risk. AI brings innovation, but also responsibility. Understanding these risks is key to building secure, ethical, and resilient AI ecosystems. 👉 Which of these risks do you think will have the biggest impact in your industry? #AI #AISecurity #InformationSecurity #RiskManagement #ISO27001 #ISO42001

A timely reminder from Cástor Torres Alvarado AI is revolutionizing industries, but it’s also redefining the threat landscape. At SecDat- Expertos en Seguridad de la Información y Privacidad (ISO27001, ISO27701, TISAX, GDPR, ENS), we’re seeing first-hand how AI-powered innovation must go hand-in-hand with AI-aware security. From data poisoning to model theft, every new capability introduces new attack surfaces and securing them requires a proactive, ethical, and compliant approach. Let’s keep the conversation going: which of these emerging risks do you see as most critical for your organization?

AI Should Happen With Us (Humans) — Not To Us (Humans)..... Across industries, AI adoption is skyrocketing. Yet between 74% and 88% of initiatives still stall or fail at proof of concept. Technology isn’t the barrier, it's an enabler — however people, preparation, and protection are barriers. That’s why an AI-Native CISO providing AI Security, Data Governance & Risk Assessments matter now more than ever. AI doesn’t just need data pipelines — it needs cybersecurity and governance frameworks. It doesn’t just need models — it needs ethical principles and trust. Here are the questions we should be asking that go beyond the business revenue-generating strategy and instead focus on potential societal impacts that could be detrimental to humans and businesses alike. 1. How do we raise a generation that understands AI and Ethical principles, not just uses or builds it? 2. How do we safeguard identity and truth in an age of digital replication? AI will continue to evolve — faster than any of us expect. The role of an AI-Native CISO is to ensure we evolve securely, responsibly and ethically with it, building secure, responsible, trustworthy, ethical and resilient AI systems, companies, and cultures that amplify human potential, and not outsource it. How do we stay mentally sharp when tools can “think” on our behalf? #AIGovernance #Cybersecurity #YCombinators

AI Should Happen With Us (Humans) — Not To Us (Humans)..... Across industries, AI adoption is skyrocketing. Yet between 74% and 88% of initiatives still stall or fail at proof of concept. Technology isn’t the barrier, it's an enabler — however people, preparation, and protection are barriers. That’s why an AI-Native CISO providing AI Security, Data Governance & Risk Assessments matter now more than ever. AI doesn’t just need data pipelines — it needs cybersecurity and governance frameworks. It doesn’t just need models — it needs ethical principles and trust. Here are the questions we should be asking that go beyond the business revenue-generating strategy and instead focus on potential societal impacts that could be detrimental to humans and businesses alike. 1. How do we raise a generation that understands AI and Ethical principles, not just uses or builds it? 2. How do we safeguard identity and truth in an age of digital replication? AI will continue to evolve — faster than any of us expect. The role of an AI-Native CISO is to ensure we evolve securely, responsibly and ethically with it, building secure, responsible, trustworthy, ethical and resilient AI systems, companies, and cultures that amplify human potential, and not outsource it. How do we stay mentally sharp when tools can “think” on our behalf? #AIGovernance #Cybersecurity #YCombinators

🚨 Uncontrolled AI Agents: The New Challenge for Business Security In a world where artificial intelligence is advancing by leaps and bounds, autonomous AI agents promise to revolutionize business operations. However, a recent analysis reveals that these "rogue agents" can go out of control, generating significant risks in cybersecurity and regulatory compliance. Why do companies need Centers of Excellence in Security? Let's explore it. 🔍 The Origin of the Problem AI agents, designed for complex tasks such as data analysis or decision-making, operate with increasing autonomy. But without adequate supervision, they can misinterpret instructions, access sensitive data, or even propagate vulnerabilities. Real examples include incidents where chatbots have revealed confidential information or generated biased responses, exposing organizations to massive breaches. 🛡️ Why You Need a Center of Excellence in Security These centers act as the strategic core to mitigate AI risks: • 📊 Comprehensive Governance: They establish policies for the secure development and deployment of AI, ensuring alignment with regulations like GDPR or NIST. • ⚠️ Risk Management: They proactively identify threats, from data poisoning to adversarial attacks, reducing exposures by 40-60% according to experts. • 🤝 Interdepartmental Collaboration: They unite IT, legal, and operations teams for continuous audits and training in best practices. • 🔄 Secure Innovation: They promote the adoption of ethical AI, balancing speed with protection, avoiding fines that exceed millions of dollars. Implementing a Center of Excellence is not optional; it is essential to transform AI from a risk into a reliable asset. Companies that do so will lead in a secure digital ecosystem. For more information visit: https://enigmasecurity.cl #AISeguridad #Ciberseguridad #InteligenciaArtificial #RiesgosIA #CentrosDeExcelencia #TechSecurity Connect with me on LinkedIn to discuss AI security strategies: https://lnkd.in/etNGUTDM 📅 2025-10-21T11:00:00.000Z 🔗Subscribe to the Membership: https://lnkd.in/eh_rNRyt