{"id":6602,"date":"2026-01-19T07:00:00","date_gmt":"2026-01-19T07:00:00","guid":{"rendered":"https:\/\/cybersecurityinfocus.com\/?p=6602"},"modified":"2026-01-19T07:00:00","modified_gmt":"2026-01-19T07:00:00","slug":"7-top-cybersecurity-projects-for-2026","status":"publish","type":"post","link":"https:\/\/cybersecurityinfocus.com\/?p=6602","title":{"rendered":"7 top cybersecurity projects for 2026"},"content":{"rendered":"
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As 2026 finds CISOs\u2019 battle against relentless cyberattackers escalating once again, strong and carefully planned cybersecurity projects are the best way to stay a step ahead of attackers and prevent them from gaining the upper hand.<\/p>\n

From data governance to zero trust, here are several essential cybersecurity projects every CISO should consider adopting in the year ahead.<\/p>\n

1. Transforming identity access for the AI era<\/h2>\n

As AI and automation evolve, managing not only employee access but also the identities of AI agents<\/a> and machine processes is now a cybersecurity essential, says Anthony Berg<\/a>, Deloitte\u2019s US cyber identity leader.<\/p>\n

\u201cThe rapid evolution of AI, especially agentic AI, has prompted many security leaders to rethink identity management strategies,\u201d he says. \u201cThe need for better identity governance, spanning both people and non-human identities, has inspired CISOs and CIOs to reimagine their security frameworks for the next wave of digital transformation.\u201d<\/p>\n

\u201cIt\u2019s important for organizations to proactively modernize their IAM programs, especially as gen AI and agentic AI enable new business models and levels of autonomy,\u201d Berg says. \u201cSecuring access across every digital identity is essential to safeguarding sensitive data, supporting compliance requirements, and driving operational efficiency.\u201d<\/p>\n

By advancing identity and access management (IAM)<\/a> capabilities, such as lifecycle management, strong authentication, and precise role- and policy-based access controls, enterprises can prevent unauthorized access and reduce the risks posed by compromised credentials, Berg says.<\/p>\n

\u201cExtending these controls to non-human identities<\/a> will help ensure that every entity interacting with systems or data is governed appropriately,\u201d he says, adding that regular access reviews and ongoing education will also help safeguard information and enable secure adoption of advanced AI technologies.<\/p>\n

2. Strengthening email security<\/h2>\n

Phishing continues to be a primary attack vector for stealing credentials and defrauding victims, says Mary Ann Blair, CISO at Carnegie Mellon University. She warns that threat actors are now generating increasingly sophisticated phishing attacks<\/a>, effectively evading mail providers\u2019 detection capabilities. \u201cLegacy multifactor authentication techniques are now regularly defeated, and threat actors are moving quickly to monetize their foothold.\u201d<\/p>\n

Facing an increasingly challenging email environment, Blair says CISOs should consider turning to external sources<\/a> for added security project assistance. She notes that several vendors she\u2019s contacted have responded with an RFP and are enabling a test-drive of their latest capabilities.<\/p>\n

3. Leveraging AI to discover code vulnerabilities<\/h2>\n

Aman Priyanshu<\/a>, a Cisco AI researcher, is developing autonomous vulnerability search agents using small language models (SLMs) that can run effectively in resource-constrained environments.<\/p>\n

Cybersecurity is inherently a long-context domain, and while current state-of-the-art LLMs can handle it, they do so at a significant tradeoff for cost or latency, Priyanshu says. \u201cFor example, organizational codebases are massive, often spanning thousands of files and millions of lines of code,\u201d he states. \u201cWhen you need to find a specific vulnerability, you face either an impossibly expensive context window if you load everything into a large model, or you\u2019re simply out of the context limit entirely.\u201d<\/p>\n

Priyanshu says his project aims to create SLM agents that resolve threats in the same way most human analysts do \u2014 through iterative investigation by reasoning about where vulnerabilities might be, searching those areas, retrieving relevant code, and repeating the process until the weaknesses can be found. \u201cWhile we\u2019ve demonstrated that this approach works in our research, we\u2019re hoping to scale things up and practically explore real-world deployment in 2026.\u201d<\/p>\n

Penetration testers and security researchers have been deploying generative AI for vulnerability hunting<\/a> for some time now, with AI-powered bug hunting now showing signs of accelerating and democratizing vulnerability discovery \u2014 and altering the calculus of what makes for an effective bounty program<\/a>.<\/p>\n

4. Reenforcing enterprise AI governance and data protection<\/h2>\n

As AI risks and autonomous threats reshape the cybersecurity landscape, Attila T\u00f6r\u00f6k<\/a>, CISO at GoTo, an AI-based cloud communications provider, is working to ensure that his organization can securely manage and monitor all AI tools while blocking unsanctioned platforms, preventing data leakage.<\/p>\n

\u201cBy embedding secure-by-design principles and aligning cybersecurity with business strategy, we\u2019re building resilience, trust, and compliance \u2014 all of which are key differentiators in the AI era,\u201d he says. However, as with any major security initiative, success can\u2019t happen within a silo, he warns. \u201cIt will take collaboration with every department across our business to establish practices that ensure success now and in the future.\u201d<\/p>\n

5. Prioritizing AI to enhance security operations<\/h2>\n

Sales performance management firm Xactly is prioritizing AI trust because the math dictates it and the threat landscape demands it, says Matthew Sharp<\/a>, CISO there. \u201cWe conducted a rigorous Christensen-style analysis of our security operations and found that roughly 67% of functional work \u2014 tasks such as evidence gathering, alert validation, and compliance reporting \u2014 is mechanical and can be automated.\u201d<\/p>\n

Adversaries are already using AI to attack at machine speed, Sharp warns, noting that organizations can\u2019t defend against AI-driven attacks with human-speed responses. \u201cOperationalizing AI trust allows us to fight fire with fire, since we can\u2019t afford to have human analysts performing tasks that machines can do more efficiently.\u201d<\/p>\n

As AI continues to emerge as a viable tool for defense, CISOs are also rethinking how their teams operate<\/a> to harness the technology\u2019s potential.<\/p>\n

6. Moving to a zero-trust-by-default model<\/h2>\n

Pavlo Tkhir<\/a>, CTO at Euristiq, says his main project for 2026 is the implementation of zero trust architecture for all the software development firm\u2019s internal and client development. \u201cWe\u2019ve long worked with companies for whom security is critical, but in 2026, market and regulatory demands will be so high that moving to a complete \u2018zero-trust-by-default\u2019 model will become a strategic imperative.\u201d<\/p>\n

For Tkhir, the project isn\u2019t just about strengthening the company\u2019s own security. \u201cIt will also allow us to build even more secure platforms for our clients, from high-load enterprise systems to AI-powered solutions where data integrity is critical,\u201d he says. \u201cWe\u2019re implementing zero-trust across infrastructure, development, CI\/CD, and internal tools \u2014 this creates a unified security standard that will then be transferred to client architectures.\u201d<\/p>\n

The initiative wasn\u2019t born out of a specific incident, but from close observation, Tkhir says. \u201cWe saw that threat models are changing faster than ever.\u201d He notes that attacks are increasingly occurring not on the perimeter, but internally: through library vulnerabilities, APIs, weak authentication mechanisms, or erroneous permissions. \u201cThis is what inspired us to completely rethink our approach.\u201d<\/p>\n

7. Bolstering data governance across the enterprise<\/h2>\n

Building a unified data governance and security framework across all enterprise systems is a 2026 priority for Barry Kunst<\/a>, a director at Solix Technologies, an enterprise data, AI, and data fabric solutions provider. The initiative is being undertaken in part to address the kinds of shadow data, inconsistent access control, and compliance gaps most organizations still struggle, he says.<\/p>\n

\u201cWhen you standardize how data is classified, protected, and monitored across every environment, you close the biggest security loophole \u2014 untracked sensitive data,\u201d Kunst says. \u201cThis project will strengthen our security by improving visibility, enforcing policy-driven controls, and reducing exposure in multi-cloud setups.\u201d<\/p>\n

Kunst says his organization launched the initiative after seeing its customers overwhelmed by rapid data growth and new regulatory requirements. \u201cOur security and cloud engineering teams are collaborating with key technology partners, with a planned rollout in 2026\u2019s third quarter,\u201d he says.<\/p>\n<\/div>\n<\/div>\n<\/div>\n<\/div>","protected":false},"excerpt":{"rendered":"

As 2026 finds CISOs\u2019 battle against relentless cyberattackers escalating once again, strong and carefully planned cybersecurity projects are the best way to stay a step ahead of attackers and prevent them from gaining the upper hand. From data governance to zero trust, here are several essential cybersecurity projects every CISO should consider adopting in the […]<\/p>\n","protected":false},"author":0,"featured_media":6603,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[3],"tags":[],"class_list":["post-6602","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-education"],"_links":{"self":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts\/6602"}],"collection":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/types\/post"}],"replies":[{"embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=6602"}],"version-history":[{"count":0,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/posts\/6602\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=\/wp\/v2\/media\/6603"}],"wp:attachment":[{"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=6602"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=6602"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/cybersecurityinfocus.com\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=6602"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}