Enterprise Leaders Prioritize Secure-by-Design AI and Application Security
-
Security is also a top priority. Building resilient AI systems requires security to be embedded by design. The Accenture research shows that while early wins with AI agents are needed to build organizational confidence, it is systemic AI that will determine long-term success and overall business value.
Compare 2 other versions
MIT Technology ReviewIn this environment, there is no tolerance for error, including the hallucinations that plagued early AI efforts. Agentic AI systems depend on rapid access to high-quality, well-governed data that is secure and accessible. In financial services, that data spans transactions, customer interactions, risk signals, policies, and historical context. The task of preparing that data for AI should not be underestimated. “Natural language is way more messy than structured data, and that makes the process of organizing and cleaning it up that much more important and also that much harder,” says Mayzak.
WiredFor most companies, AI has become a core part of their business offering. In that case, they have to understand the risks. They have to understand where models are running. They can't continue to use models where they don’t even know the location of the data centers, or the grid they're connected to. They have to know what the supply chain emissions are, transportation emissions, all these different things.
-
As Mayzak says, “There are many different ways to describe how to execute a trade at a bank. In an agent-powered world, we need those descriptions to be deterministic—to give the same results every time. Yet we’re building on powerful but non-deterministic models. That’s incredibly tricky, but not impossible.”
Compare 1 other version
ZDNetAvoid areas filled with edge cases, ambiguity, or constantly shifting rules. Those situations are far harder for agents to handle reliably and are more likely to create problems than deliver value.
-
This content was produced by Insights, the custom content arm of MIT Technology Review. It was not written by MIT Technology Review’s editorial staff. It was researched, designed, and written by human writers, editors, analysts, and illustrators. This includes the writing of surveys and collection of data for surveys. AI tools that may have been used were limited to secondary production processes that passed thorough human review.
-
How Pokémon Go is giving delivery robots an inch-perfect view of the world Exclusive: Niantic's AI spinout is training a new world model using 30 billion images of urban landmarks crowdsourced from players.
-
Beyond the cleanup job: Redefining application security for the modern enterprise
-
Secure-by-design is no longer just a developer concern. Enterprise leaders must treat application security as a board-level responsibility, with accountability, incentives, and customer risk reduction built in.
-
Two terms are key to this approach: secure-at-the-source and secure-by-design. Both terms refer to the process of building security and reliability into code at the earliest stage of the software lifecycle. We'll focus on how security can be designed into all phases, from requirements and design through coding, dependency selection, build pipelines, deployment, and maintenance.
3 details only one outlet reported
Independent claims that didn't surface elsewhere in our corpus. Treat as supplementary — not corroborated across outlets.
-
01 MIT Technology Review Financial services companies, therefore, require a trusted and centralized data store that is easy to access, dependable, and can be managed at scale.
-
02 Wired Building AI sustainably seems like a pipe dream as tech giants that previously made promises to cut emissions have been racing to build out massive data centers powered by fossil fuels.
-
03 ZDNet Find-and-fix security once made sense, but AI-assisted development, continuous deployment, and exploding vulnerability backlogs are changing the rules. The old application security playbook is breaking down fast.
Fact Corroboration
Which sources independently confirm the same facts. Hover a claim to see its sources, or a source to see what it corroborates.
Coverage by Perspective
Source Similarity
Connections show how similarly each outlet covered this story. Thicker lines = more similar framing.
Sources (3)
- wired
- zdnet
- mittech