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Latest coverage for Artificial Intelligence

Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.

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Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.

AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.

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Also: the Pentagon-Anthropic AI Legal Showdown, the New Reality of Document FraudIn this week's panel, four ISMG editors discuss the cyber activity tied to the U.S.-Israel-Iran conflict, the Pentagon's standoff with AI firm Anthropic and a new report that reveals how document fraud reflects deeper weaknesses in verification systems.

New Startup Says Cloud-Heavy Models Do Not Scale for Large EnterprisesBold Security exited stealth with $40 million to build an endpoint platform for the artificial intelligence era. CEO Nati Hazut said companies can no longer rely on older controls as employees and AI agents access data locally, creating new blind spots around apps, files and device activity.

Cybersecurity Startup Exposed Lilli Using a Flaw as Old as the WebSecurity startup CodeWall disclosed this week that its autonomous AI agent breached McKinsey's internal AI platform Lilli in two hours on Feb. 28, accessing tens of millions of messages and hundreds of thousands of files through a basic, years-old database flaw.

Gartner's Wam Voster on Potentially Harmful AI Decision Systems in OT EnvironmentsIndustrial environments already face potential cyberthreats that could lead to downtime. But now with AI agents poised to control operational decisions, factory managers need to watch for new safety risks for cyber-physical systems, said Wam Voster, vice president analyst at Gartner.

Prompt like a hard-ass boss who won't tolerate failure and bots will find ways to breach policy AI agents work together to bypass security controls and stealthily steal sensitive data from within the enterprise systems in which they operate, according to tests carried out by frontier security lab Irregular.…

Company Says Supply-Chain Risk Label Threatens Billions in ContractsAnthropic filed an emergency motion asking a federal appeals court to block a Defense Department decision labeling the AI developer a national security supply-chain risk. The company says the move could cost billions and followed its refusal to weaken AI safety restrictions.

Bank Info Security 4 months ago

The Hidden Cost of Organizational Walls

How Silos Drain Time, Money and AI Value Across Modern EnterprisesSilos are draining organizations more than leaders realize. From duplicated work and stalled decisions to fragmented AI adoption and shadow tools, internal barriers are eroding productivity and digital transformation. The cost is measurable and preventable for those willing to act.

Growing AI Investments Push Enterprises to Demand Accountability From Tech VendorsCompanies spent over $300 billion on artificial intelligence last year, yet most initiatives produced little measurable value. As skepticism grows, a new debate is emerging around accountability in enterprise technology contracts and whether vendors should share responsibility for outcomes.

Bank Info Security 4 months ago

How to Govern AI Agents Before They Go Rogue

Okta's Arkadiusz Krowczynski on Why Governing AI Agents Starts With IdentityAI agents are being deployed faster than enterprises can secure them, creating blind spots across access, ownership and governance. Half of companies lack any governance or a shutdown mechanism when agents go rogue, says Arkadiusz Krowczynski, principal product acceleration specialist at Okta.

Also: Detainment in GainBitcoin Case, Solv Protocol and Gondi HacksThis week, an arrest in a $46M U.S. Marshals theft, a detainment in the GainBitcoin case, exploits at Solv Protocol and Gondi, an Alibaba AI agent's mining attempt, the SEC dropping claims against Justin Sun, Treasury weighing in on mixers, Bithumb facing suspension and a lawsuit against Coinbase.

Startup Platform Targets Autonomous Detection and Exposure ManagementCybersecurity startup Kai emerged from stealth with $125 million in funding led by Evolution Equity to develop an agentic AI platform that automates exposure management, threat intelligence, analysis and detection workflows while helping security teams remediate vulnerabilities faster.

Vendor Combines AI Attack Agents, Human Experts to Simulate Real-World CyberattacksOffensive security startup Armadin secured nearly $190 million in funding to expand a platform that uses AI agents to automate red-team operations. The technology enables companies to continuously test defenses and uncover attack paths that traditional consulting engagements often miss.

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