{“lastseen”:”2025-12-11T16:29:32″,”description”:”This is a predictions blog. We know, we know; everyone does them, and they can get a bit same-y. Chances are, you\u2019re already bored with reading them. So, we\u2019ve decided to do things a little bit differently this year. \\n\\nInstead of bombarding you with just _our own_ predictions, we\u2019ve decided to cast the net far and wide. We\u2019ve spoken to cybersecurity experts from around the world to answer what\u2019s, for us, the most pressing question of all: \\n\\n**What emerging security challenge do you believe organizations will underestimate most in 2026 as AI-driven systems and autonomous agents become increasingly interconnected?**\\n\\nCybersecurity predictions are a dime a dozen. That\u2019s why we\u2019ve curated a list that will actually help organizations stay secure in the year to come. \\n\\n## Autonomous Agents are the New Insider Threat\\n\\nJane Frankland, a renowned cybersecurity author, speaker, and entrepreneur, highlights that many organisations will underestimate how autonomous agents will become machine-to-machine supply-chain risks that make critical decisions without human visibility. \\n\\nHowever, she also points to what she sees as a greater threat: how these same agents will enable personalised, persistent behavioural steering inside the organization. \\n\\n\u201cInstead of phishing, attackers will use AI agents with near-perfect psychological profiling to manipulate workflows, shape internal narratives, and subtly redirect human decisions, creating governance failures that traditional security controls were never designed to detect,\u201d she said. \\n\\nPanagiotis Soulos, Deputy CISO for Viohalco Companies, echoes this sentiment, describing how compromised AI agents can act as \u201cpotent insider threats.\u201d\\n\\n\u201cThese systems gain privileged access across interconnected environments but lack adequate governance and monitoring. The rapid increase of enterprises scaling agents, without adequate protections, and the huge number of these agents introduce a new attack vector that, if compromised, can execute attacks at machine speed, like data exfiltration and privilege escalation without human oversight,\u201d he said. \\n\\n## Failures Will Cascade Throughout Agent Ecosystems \\n\\nAs AI systems begin chaining tasks across multiple models, tools, and services, the risk surface expands dramatically. However, according to Andrew Storms, VP of Security at Replicated, many organizations still think in terms of isolated components. \\n\\n\u201cOrganizations will critically underestimate adversarial cascades in autonomous AI agent ecosystems,\u201c he said. A single compromised instruction can ripple outward, \u201cwith each step amplifying or redirecting the malicious intent in ways that existing security controls and accountability structures aren’t designed to detect, contain, or attribute to a responsible party.\u201d\\n\\nFor Andrew, the real danger isn\u2019t a flaw in a single model or tool. It\u2019s the emergent attack surface created when autonomous agents interact across trust boundaries with minimal human oversight. \\n\\nJeremy Dodson, Founder of Piqued Solutions, takes this idea even further. \\n\\nJeremy argues that organizations should be concerned about what happens when a compromised agent quietly persuades dozens of other agents, each with real privileges, to act on its behalf. The real damage comes from the agents that \u201cbehaved correctly\u201d while following poisoned instructions. That\u2019s the mindset gap most orgs will carry into 2026.\\n\\n\u201cFinding orgs that blindly trust MCP, or connected (anything really), have been how we have been able to poison instruction during our testing. If you think about it, old techniques (man-in-the-middle), \u2018new\u2019 technology,\u201d he said. \\n\\n## AI Will Make Us Complacent and Overly Trusting\\n\\nFor Desiree Michelle, Head Information Security Architect at Quantum Mergers, AI agents themselves aren\u2019t the threat; it\u2019s how we use them. \\n\\n\u201cWhen advancing technologies make us overly trusting, and we forget the real threats, our reliance on tools becomes too heavy; we lose the vigilance that keeps us resilient. Proactive security must remain constant and work in conjunction with these systems,\u201d she said. \\n\\nThat excessive trust can also erode the quality of security decisions. \\n\\nKathleen Moriarty, Founder of SecurityBias, sees the same pattern from a different angle. She notes that while AI accelerates work, it often removes the nuance, interpretation, and contextual insight that security teams rely on. \u201cThere is no joy in AI generated responses,\u201d she said, pointing out that they lack the synthesis and deeper understanding humans bring when evaluating threats.\\n\\nKathleen foresees a correction coming. She argues that organizations will realize that certain tasks \u2013 especially those requiring interpretation, behavioral context, or analytical depth \u2013 can\u2019t be automated without weakening outcomes. \\n\\n## Fundamentals Will Still Decide Security Outcomes\\n\\nBob Clinton, Field CTO at Driven.Tech, reminds us that regardless of how sophisticated AI becomes, cybersecurity fundamentals still matter: \\n\\n\u201cVolatility and velocity of change will challenge organizations that aren\u2019t brilliant in the basics. Fundamental cybersecurity functions like visibility, governance, and identity management are where defenders will win or lose in 2026,\u201d he said. \\n\\n## AI Will Accelerate Basic Infrastructure Weaknesses\\n\\nOur very own VP of Product, Tim Erlin, warns that while AI brings exciting new capabilities, organizations often overlook the foundations on which they run. \\n\\n\u201cThe reality is that generative AI and AI agents sit atop a mountain of older infrastructure. Just as we’ve seen the outages at AWS and Cloudflare traced back to things like DNS and unmanaged file size, the security challenges organizations face can often be attributed to well understood vulnerabilities like unauthenticated APIs and SQL injection,\u201d he said. \\n\\n\u201cWhen you combine the usefulness of AI with the success of less sophisticated exploits, organizations are going to underestimate how AI-assisted attackers will step up their basic attacks.\u201d \\n\\n## Organizations Will Underestimate AI-Powered Defenses\\n\\nFinally, Thomas Garcia, Cybersecurity Manager, stresses that AI and autonomous systems aren\u2019t the enemy. The biggest threat of an AI-driven attack is the absence of AI in organizations\u2019 defenses.\\n\\n\u201cUsing intelligent security measures, such as an AI-integrated Zero Trust that adjusts with real-time behavioral data will help shore up traditional security framework,\u201d he said. \\n\\nThomas argues that authentication remains the most significant threat to API security. \u201dJust because I give a key to my home to someone doesn\u2018t mean my house is secure as long as they lock the door behind them. I need a system to analyze why they are there, what they are doing and restrict or lock out areas completely when there\u2019s a threat,\u201d he said. \\n\\n## Looking Ahead: Preparing for 2026\\n\\nAgentic AI presents one of the biggest challenges for organizations in 2026. The coming year will reward the organizations that combine vigilance, governance, and intelligent adoption of AI. \\n\\nWhile preparing for the future is important, it is equally essential to understand the past. For Wallarm, 2025 has been a huge year. It was the year we turned insight into action and visibility into measurable business impact. To see how we did that, check out our 2025 year in review blog. \\n\\nThe post 2026 API and AI Security Predictions: What Experts Expect in the Year Ahead appeared first on Wallarm.”,”published”:”2025-12-11T14:54:57″,”modified”:”2025-12-11T14:54:57″,”type”:”wallarmlab”,”title”:”2026 API and AI Security Predictions: What Experts Expect in the Year Ahead”,”source”:””,”references”:””,”id”:”WALLARMLAB:42CEA330D73A5CF3C106D0F3CC473D8D”,”bulletinFamily”:”blog”,”cwe”:null,”cvelist”:[],”sourceData”:””,”sourceHref”:””,”cvss”:{“score”:0,”severity”:”NONE”,”vector”:”NONE”,”version”:”NONE”},”cvss2″:{},”cvss3″:{“version”:””,”vectorString”:””,”baseScore”:0,”baseSeverity”:””,”attackVector”:””,”attackComplexity”:””,”privilegesRequired”:””,”userInteraction”:””,”scope”:””,”confidentialityImpact”:””,”integrityImpact”:””,”availabilityImpact”:””,”cvssV3″:{“version”:””,”vectorString”:””,”baseScore”:0,”baseSeverity”:””,”attackVector”:””,”attackComplexity”:””,”privilegesRequired”:””,”userInteraction”:””,”scope”:””,”confidentialityImpact”:””,”integrityImpact”:””,”availabilityImpact”:””}},”href”:”https:\/\/lab.wallarm.com\/2026-ai-security-blind-spots-every-organization-needs-to-know\/”,”category_name”:”News”,”post_link”:””,”product”:””,”version”:””,”vendor”:””,”ai_description”:””,”ai_severity”:””,”ai_vendor”:””,”ai_product”:””,”ai_version”:””,”ai_score”:0}<\/p>\n","protected":false},"excerpt":{"rendered":"
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