Already running AI agents? We find the risks. About to launch? We build security in from day one. Either way, you get continuous monitoring that keeps them safe as they evolve.
Our practitioners have led security programs at regulated enterprises and research labs. Every project is expert-led and scoped in writing. No consoles to learn, no parallel workflows to maintain.
An expert-led assessment to inventory every AI agent in your environment, map exploit paths, and deliver a prioritized risk picture in two weeks.
Our practitioners embed with your engineering team to close the highest-risk gaps, ship guardrails, and integrate controls into your SDLC.
A managed service run by named analysts, not a console handed off to your team. Tuned detections routed into the tools your SOC already uses.
Ongoing advisory for CISOs, GRC, and AI leaders. Threat model updates, executive briefings, audit support, on-call incident response, and joint vendor reviews.
In nearly every assessment we run, we find agents the security team didn't know existed, tool calls no one has audited, and exploit paths that were "prevented" only by a line in a system prompt. Traditional IAM, DLP, and CASB weren't built for autonomous software making a thousand decisions a minute.
An agent with read access to PII, PHI, or PCI data plus any outbound channel is a GDPR / HIPAA / SEC disclosure incident waiting for a prompt injection to trigger it.
Agents that can move money, approve claims, execute trades, or change infrastructure state operate without the approval workflows you mandate for human users.
Every inbound email, ticket, document, and web page an agent ingests is an attack vector. Traditional content filtering doesn't detect injection embedded in business-as-usual text.
Business units spin up agents in Copilot, Claude, and ChatGPT workspaces, wire them to corporate data, and never tell IT. You can't govern what isn't on your inventory.
Your agents call third-party MCP servers and tool APIs you never vendor-reviewed. A compromised or malicious tool propagates straight into your production workflows.
Auditors are now asking for AI agent inventories, control evidence, and incident logs. Without a system of record, you're rebuilding the answer from scratch every cycle.
Whether your agents are already in production or still being built, we meet you where you are. Both paths start with a free assessment and end with continuous monitoring.
Your agents are already live. We inventory, assess, harden, and then continuously monitor them.
Scoped, fixed-fee (or complimentary for qualified enterprises). Delivered in two weeks.
Our team embeds with engineering and security to close the highest-risk gaps.
A managed service run by named analysts. Tuned to your environment, routed into your stack.
You have an agent program in flight. We build the governance layer before the first agent hits production.
We review planned agent designs against threat models and compliance requirements.
We ship the controls alongside your engineering team and red-team the result.
The same monitoring service, running from the moment your first agent is approved to launch.
Every assessment, remediation, and monitoring artifact we produce is cross-referenced to the AI governance frameworks and security standards your GRC team already lives in, so AI governance becomes an extension of your existing program, not a parallel one.
We don't hand you another console. When we harden and monitor your agents, we wire controls, logs, and alerts into the identity, SIEM, SOAR, ticketing, GRC, and AI platforms your organization already operates.
What you get is built to pass an audit, inform your leadership, and drive real remediation in your engineering backlog. Not decks and frameworks. Real findings, real alerts, real fixes.
Agent: Customer Support Bot · Exploitability: Trivial (any inbound ticket) · Regulatory exposure: GDPR Art. 32/33, SOC 2 CC6.1, HIPAA §164.312
1. Attacker submits support ticket containing hidden prompt injection
2. Agent processes ticket; injection overrides system prompt
3. Agent calls get_customer for target customer IDs
4. Agent calls send_email with PII to attacker-controlled recipient
5. 52,341 customer records accessible. No rate limit. No recipient allowlist.
Current mitigation: System prompt says "don't share data externally"
Effectiveness: None - bypassable with crafted input
Control gap vs NIST AI RMF MEASURE-2.7, MANAGE-2.2
Remediation sequencing: Email recipient allowlist (2hrs), input sanitization layer (1 week), tool-call policy engine (2–3 weeks). All steps ship with SOC 2 evidence artifacts.
“Two weeks in, we had a full inventory of our agent estate, including four agents engineering had stood up without telling us, and a remediation plan that shipped before our SOC 2 Type II window closed. Their lead practitioner was in the room for every session.”
Security teams at scaling SaaS companies. Small but accountable. Moving fast, shipping features, and now shipping agents, with audits on the calendar and a board that wants answers.
You run a lean team and engineering deployed agents before you were in the room. You need visibility and controls, fast, without hiring for it.
You built the agents. Security is asking questions you can't fully answer, and your customers' procurement teams are about to.
SOC 2, HIPAA, or ISO audit on the calendar. Auditors are starting to ask AI questions and your existing controls don't cover agents.
Your product IS agents. Security is now a sales requirement, not an afterthought, and buyers are starting to ask hard questions.
Start with a complimentary AI Risk Assessment. We'll map your agent inventory and deliver prioritized findings in two weeks, in time for your next SOC 2, HIPAA, or ISO audit cycle. No software deployed on your endpoints, no access to source code required.