Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Compliance teams know the pattern well: tracking down a missing access review sign-off at 11 p.m. the night before an audit, piecing together evidence from spreadsheets, email threads, and the gap between HR and IT. Access reviews keep appearing in SOC 2 exceptions, and the controls usually aren't the problem. The manual processes around them are. Many teams respond by buying a dedicated GRC (Governance, Risk, and Compliance) platform. Traditional GRC tools are structured repositories.

Agentic AI security protects autonomous AI systems that independently plan, reason, and execute multi-step actions across enterprise environments without continuous human oversight.

The NIS2 Directive is the European Union’s updated cybersecurity framework, designed to improve cyber resilience across critical sectors. Building on its predecessor, the Network and Information Systems (NIS) Directive, NIS2 significantly expands its scope to include industries such as healthcare, manufacturing, energy, transport and managed services. NIS2 also introduces stricter cybersecurity requirements, direct accountability for senior management and defined incident reporting timelines.

Information Technology (IT) security is the practice of protecting an organization’s systems, data and networks from unauthorized access and cyber threats. It encompasses a wide range of processes, policies and technologies designed to secure everything from employee devices to cloud infrastructure.

Insider threats often don’t trigger alerts because the activity relies on valid credentials, approved tools, and authorized workflows. When viewed as individual events, this behavior looks normal and stays below traditional rule thresholds. Risk accumulates across otherwise valid actions without producing a signal that meets alert thresholds.

AI agents don't behave like the playbooks security and IT teams have spent years building. They form intent, select tools at runtime, and chain actions across systems in sequences nobody pre-authored. This means dropping an LLM into an existing automation sequence and expecting it to act like a smarter playbook is the fastest route to ungoverned, unpredictable outcomes.

As a fintech organization, you depend on multiple systems like AWS, Databricks, Snowflake, Power BI, Stripe Treasury, Identity Providers (IdP), developer tools, internal operational platforms, and many more. Managing access and access level across platforms is often disconnected and spread across emails, Slack approvals, tickets, and sometimes spreadsheets. Obviously, this is inefficient. There'll be delays in onboarding. But that's the least of your worries.

Adversaries are using AI to attack with unprecedented speed and precision. This trend, coupled with the rapidly growing use of agentic AI, means it is now necessary to use AI to protect and defend the modern tech stack. It is timely that on June 2, 2026, President Trump signed Executive Order 14409 on Promoting Advanced Artificial Intelligence Innovation and Security. At a high level, this EO validates that security is fundamental to reaping the benefits of AI.

In mid-June 2026, security researchers identified an active, large-scale credential compromise campaign affecting Fortinet FortiGate firewalls, dubbed FortiBleed. Threat actors have been systematically extracting configuration files from internet-facing FortiGate devices and cracking the stored credential hashes, resulting in verified working administrator credentials for between 30,000 and 75,000 devices across 194 countries.